iBooks Top Computer Programming Ebooks

The most popular and best selling computer programming ebooks at the Apple iBookstore.

Chart of the top computer programming ebook best sellers was last updated:

Computer Ebook Best Sellers

Top Computer Programming Ebook Best Sellers

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Eloquent JavaScript, 4th Edition - Marijn Haverbeke Cover Art

Eloquent JavaScript, 4th Edition

Eloquent JavaScript, 4th Edition A Modern Introduction to Programming by Marijn Haverbeke

Start building beautiful web applications in JavaScript with the bestselling introduction to the language, updated with new features, fresh exercises, and fun projects. JavaScript, the programming language that allows us to add programs to web pages, lies at the heart of almost every modern web application, from social media sites to browser-based games. Just about every device can run it, making it a great choice for writing universally useful code. The fourth edition of this classic textbook takes you on a journey through the language of the web, starting from its basic elements and building up to engaging, complete programs. The author’s personal experiences from years of maintaining popular open source projects enliven the text with practical insights and examples.  This edition of Eloquent JavaScript updates the book to describe the 2024 version of JavaScript, and shifts the attention given to some topics to better reflect current development practices. The text takes a practical approach to teaching, rooting theory in plenty of motivating examples. The first half of the book describes the fundamentals of the language, whereas the second half shows how to apply it in two programming environments: the web browser and Node.js. Five project chapters show how to build bigger programs, working through these projects in a piecemeal, conversational way. They include a pathfinding robot, a small programming language, a platform game, a pixel drawing program, and a simple dynamic website. Exercises provided at the end of most chapters will challenge you to creatively apply the concepts and techniques introduced. The book’s companion website provides an interactive environment for working on these exercises and playing with the example programs. Whether you’re looking to learn JavaScript or to deepen your programming skills, you’ll find this book full of stimulating material. Updated to ECMAScript 2024

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Practical SQL, 2nd Edition - Anthony DeBarros Cover Art

Practical SQL, 2nd Edition

Practical SQL, 2nd Edition A Beginner's Guide to Storytelling with Data by Anthony DeBarros

Analyze data like a pro, even if you’re a beginner. Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. Anthony DeBarros, a journalist and data analyst, focuses on using SQL to find the story within your data. The examples and code use the open-source database PostgreSQL and its companion pgAdmin interface, and the concepts you learn will apply to most database management systems, including MySQL, Oracle, SQLite, and others.* You’ll first cover the fundamentals of databases and the SQL language, then build skills by analyzing data from real-world datasets such as US Census demographics, New York City taxi rides, and earthquakes from US Geological Survey. Each chapter includes exercises and examples that teach even those who have never programmed before all the tools necessary to build powerful databases and access information quickly and efficiently. You’ll learn how to: Create databases and related tables using your own data Aggregate, sort, and filter data to find patterns Use functions for basic math and advanced statistical operations Identify errors in data and clean them up Analyze spatial data with a geographic information system (PostGIS) Create advanced queries and automate tasks This updated second edition has been thoroughly revised to reflect the latest in SQL features, including additional advanced query techniques for wrangling data. This edition also has two new chapters: an expanded set of instructions on for setting up your system plus a chapter on using PostgreSQL with the popular JSON data interchange format.  Learning SQL doesn’t have to be dry and complicated. Practical SQL delivers clear examples with an easy-to-follow approach to teach you the tools you need to build and manage your own databases. * Microsoft SQL Server employs a variant of the language called T-SQL, which is not covered by Practical SQL .

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HTML & CSS QuickStart Guide - David DuRocher Cover Art

HTML & CSS QuickStart Guide

HTML & CSS QuickStart Guide The Simplified Beginners Guide to Developing a Strong Coding Foundation, Building Responsive Websites, and Mastering the Fundamentals of Modern Web Design by David DuRocher

Master HTML and CSS fundamentals to create beautiful websites. The best book on the market for modern web design fundamentals! Every one of the over 4 billion webpages online today use HTML markup language to display its content. HTML is everywhere. Experienced developers know that a mastery of HTML and CSS fundamentals is not only an essential web design skill, but also the solid foundation of a robust coding skillset. In HTML & CSS QuickStart Guide author, instructor, and 10+ year Fortune 500 tech company veteran David DuRocher breaks down HTML5 and CSS3 fundamentals manageable, practical, and engaging segments designed for first-time developers. David’s unique and engaging approach to teaching HTML and CSS principles means that readers are ready to start designing from the very first chapter without enduring an avalanche of boring jargon or dry technobabble. Use the enclosed bonus digital asset access to go beyond the book with your own hands-on project, GitHub code repository, online tools, resources, and more! No matter whether you are a student, jobseeker looking to improve your resume, freelancer, designer, experienced developer, or just someone who wants to create their own website from scratch, everything you need to know is right here in this book! Truly anyone, at any stage of their lives, can learn to code. HTML and CSS are the perfect starting point on that journey—easy to learn, easy to implement, HTML & CSS open the door to a world of coding possibilities. HTML & CSS QuickStart Guide Is Perfect For: - Jobseekers looking to increase the value of their resume - Artists, bloggers, and digital entrepreneurs who want to customize their web presence - WordPress, Shopify, and Squarespace users who want to tweak templates and make them their own - Anyone who wants to create attractive, responsive, and modern websites with no prior experience needed HTML & CSS QuickStart Guide Covers: - HTML and CSS for Beginners – all of the core HTML and CSS fundamentals you need to know in one place - HTML tags, CSS elements, CSS styling, and exactly how to fit the pieces together - Futureproofing – how to design sites that look great on any browser, any device - How to save time using best practices to produce clean and tidy code - Formatting, sizing, fonts, images, multimedia, forms, sprites, and gradients – all of the tools you need to make your website 100% your own! HTML and CSS QuickStart Guide Will Teach You: - Modern Web Design Fundamentals – How to use the powerful combination of HTML5 and CSS3 to build functional and responsive web pages - Site Structure and Responsive Design Principles – How to format HTML and CSS markup to produce attractive web sites and web pages that look great on any browser and any device. - Breathing Life Into Your Projects – How to incorporate forms, multimedia elements, special characters and more into your web projects - Correct Markup Best Practices – How to efficiently use CSS and HTML together to produce clean, professional HTML documents using industry-standard tools such as GitHub - HTML and CSS for Beginners – HTML and CSS elements, formatting, padding, gradients, menus, testing, debugging, keeping your site’s code up to date and more—all supported with abundant visual examples and a practical hands-on project! *LIFETIME ACCESS TO FREE HTML AND CSS DIGITAL ASSETS* A complete hands-on project using an industry-standard GitHub code repository along with a complete online HTML, CSS, and web design resource library, web development cheat sheets, and more!

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Pro C# 10 with .NET 6 - Andrew Troelsen & Phil Japikse Cover Art

Pro C# 10 with .NET 6

Pro C# 10 with .NET 6 Foundational Principles and Practices in Programming by Andrew Troelsen & Phil Japikse

Welcome to the most comprehensive foundational guide available on the topic of C# coding and .NET. This book goes beyond “do this, to achieve this” to drill down into the core stuff that makes a good developer, great. This expanded 11th edition delivers loads of new content on Entity Framework, Razor Pages, Web APIs and more. You will find the latest C# 10 and .NET 6 features served up with plenty of “behind the curtain” discussion designed to expand developers’ critical thinking skills when it comes to their craft. Coverage of ASP.NET Core, Entity Framework Core, and more sits alongside the latest updates to the new unified .NET platform, from performance improvements to Windows Desktop apps on .NET 6, updates in XAML tooling, and expanded coverage of data files and data handling. Going beyond the latest features in C# 10, all code samples are rewritten for this latest release. Dive in and discover why this essential classic is a favorite of C# developers worldwide. Gain a solidfoundation in object-oriented development techniques, attributes and reflection, generics and collections, and numerous advanced topics not found in other texts (such as CIL opcodes and emitting dynamic assemblies).  Pro C# 10 with .NET 6  will build your coding confidence putting C# into practice, and exploring the .NET universe and its vast potential on your own terms. What You Will Learn Explore C# 10 features and updates in records and record structs, global and implicit using directives, file level namespaces, extended property patterns, and moreDevelop applications with C# and modern frameworks for services, web, and smart client applicationsHit the ground running with ASP.NET Core web applications using MVC and Razor Pages, including view components, custom tag helpers, custom validation, GDPR support, and areasBuild ASP.NET RESTful services complete with versioning, enhanced swagger, andbasic authenticationEmbrace Entity Framework Core for building real-world, data-centric applications, with deeply expanded coverage new to this edition including SQL Server temporal table supportDive into Windows Desktop Apps on .NET 6 using Windows Presentation FoundationUnderstand the philosophy behind .NETDiscover the new features in .NET 6, including single file applications, smaller container images, and more Who This Book Is For Developers of any level who want to either learn C# and .NET or want to take their skills to the next level. “Amazing! Provides easy-to-follow explanations and examples. I remember reading the first version of this book; this is a ‘must-have’ for your collection if you are learning .NET!” – Rick McGuire, Senior Application Development Manager, Microsoft “Phil is a journeyman programmer who brings years of experience and a passion for teachingto make this fully revised and modernized ‘classic’ a ‘must-have’. Any developer who wants full-spectrum, up-to-date coverage of both the C# language and how to use it with .NET and ASP.NET Core should get this book.” – Brian A. Randell, Partner, MCW Technologies and Microsoft MVP

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Zsh Essentials - Richard Johnson Cover Art

Zsh Essentials

Zsh Essentials Definitive Reference for Developers and Engineers by Richard Johnson

"Zsh Essentials" "Zsh Essentials" is a comprehensive and expertly crafted guide designed for both aspiring and experienced command-line practitioners who seek mastery of the Zsh shell. Through meticulously structured chapters, this book navigates the historical evolution of Unix shells, detailing the unique design principles, robust architecture, and advanced operational modes that set Zsh apart as a modern workflow engine for developers and power users alike. Readers are guided through essential concepts such as process control, environment management, and modular configuration, laying a solid foundation for deep customization and productivity. Building upon these fundamentals, "Zsh Essentials" explores sophisticated configuration strategies, advanced command-line interactivity, and cutting-edge scripting paradigms. Whether refining an efficient, modular `.zshrc`, engineering dynamic and informative prompts, or leveraging programmable completion systems, this book offers practical techniques for seamless session management and powerful interactive features. Extensive coverage of scripting best practices, data manipulation, and error handling empowers users to write idiomatic, resilient, and high-performance Zsh scripts for a variety of system automation and development tasks. The book further delves into the rich Zsh plugin ecosystem, external integrations with developer toolchains, and robust security frameworks. It addresses contemporary workflow needs—spanning cloud-native scripting, DevOps, and data science applications—while emphasizing security, reliability, and troubleshooting at every stage. Enhanced by real-world case studies and performance engineering insights, "Zsh Essentials" stands as an indispensable reference for anyone looking to harness the full potential of Zsh in modern, cross-platform environments.

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An Engineer's Introduction to Programming with MATLAB 2019 - Shawna Lockhart Cover Art

An Engineer's Introduction to Programming with MATLAB 2019

An Engineer's Introduction to Programming with MATLAB 2019 by Shawna Lockhart

• Designed for people with no computer programming background  • Teaches computer programming concepts using the MATLAB environment  • Learn-by-doing tutorial approach  • Extrapolates the MATLAB language to other popular programming languages  This book accomplishes two things simultaneously: it teaches you to use the latest version of the powerful MATLAB programming environment, and it teaches you core, transferable programming skills that will make you feel at home with most procedural programming languages. MATLAB has been in existence for more than 30 years and is used by millions of engineers, scientists, and students worldwide, both for its depth and its easy usability. With dozens of specialized toolboxes available beyond the core program, as well as its companion program Simulink for simulation and model-based design, MATLAB can serve as an invaluable aid throughout your career. Unlike many MATLAB books, ours assumes no prior experience in computer programming. Using an approachable tone, we take you from the simplest variables through complex examples of data visualization and curve fitting. Each chapter builds on the last, presenting an in-depth tutorial on a focused concept central to programming, using the MATLAB language, but applicable to countless other popular and in-demand languages such as C++, Java, JavaScript, R, and Python. We'll ask you to perform short exercises as we work through each chapter, followed by more end-to-end exercises and mental challenges at the chapter's end. As the complexity of the concepts increases, the exercises present increasingly real-world engineering challenges to match. Once you've completed An Engineer's Introduction to Programming with MATLAB 2019, you will have a solid foundation in computer programming forms and concepts and a comfort with the MATLAB environment and programming language. We believe that you'll enjoy both gaining and having that knowledge, and that you'll be able to use it almost immediately with your other coursework. This book includes • Step-by-step tutorials written to help the novice user become proficient using MATLAB  • A Getting Started chapter for configuring MATLAB for use with the tutorials  • Organization and a level suitable for a first year introductory engineering course  • Updates for the MATLAB 2019a release.  • Tips offering suggestions and warnings as you progress through the book  • Key Terms and Key Commands listed to recap important topics and commands learned in each tutorial  • An index to help you easily look up topics  • Exercises at the end of each tutorial providing challenges to a range of abilities.  Table of Contents       Getting Started  1.   Introduction to MATLAB  2.   Programming Basics: Operators & Variables  3.   Programming Basics: Arrays, Structures & Tables  4.   Programming Basics: Looping and Conditionals  5.   Matrices  6.   Functions and Scripts  7.   Debugging and Error Handling  8.   Importing and Exporting Data  9.   Plotting and Data Visualization  10. MATLAB ToolBoxes: Curve Fitting  11. Symbolic Math        Index

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Game Programming Patterns - Robert Nystrom Cover Art

Game Programming Patterns

Game Programming Patterns by Robert Nystrom

The biggest challenge facing many game programmers is completing their game. Most game projects fizzle out, overwhelmed by the complexity of their own code. Game Programming Patterns tackles that exact problem. Based on years of experience in shipped AAA titles, this book collects proven patterns to untangle and optimize your game, organized as independent recipes so you can pick just the patterns you need. You will learn how to write a robust game loop, how to organize your entities using components, and take advantage of the CPUs cache to improve your performance. You'll dive deep into how scripting engines encode behavior, how quadtrees and other spatial partitions optimize your engine, and how other classic design patterns can be used in games.

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Mastering Julia - William Smith Cover Art

Mastering Julia

Mastering Julia From Basics to Expert Proficiency by William Smith

"Mastering Julia: From Basics to Expert Proficiency" is an authoritative guide designed to take you from the fundamentals of Julia programming to advanced concepts and expert-level proficiency. This comprehensive book begins with an introduction to Julia's purpose, syntax, and ecosystem, laying a strong foundation for understanding the language's unique capabilities. As you progress through the chapters, you will delve into essential topics such as control flow, functions, methods, collections, and data structures. Each section is crafted to build on previous knowledge, ensuring a smooth and cohesive learning experience. The book further explores advanced subjects including metaprogramming, performance optimization, and interfacing with other languages. With detailed explanations, practical examples, and best practices, you will gain the skills necessary to write efficient, high-performance code. Whether you are a beginner looking to learn a new language or an experienced developer aiming to harness Julia's full potential, "Mastering Julia" provides the tools and insights needed to excel.

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Human + Machine, Updated and Expanded - Paul R. Daugherty & H. James Wilson Cover Art

Human + Machine, Updated and Expanded

Human + Machine, Updated and Expanded Reimagining Work in the Age of AI by Paul R. Daugherty & H. James Wilson

AI—including generative AI—is radically transforming business. Are you ready? Accenture technology leaders Paul Daugherty and Jim Wilson provide crucial insights and advice to help you meet the challenge. Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now—in software that senses what we need, supply chains that "think" in real time, and now generative AI that is radically reshaping work and productivity. Twenty-first-century pioneer companies are already using AI to innovate and grow fast . The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In this updated and expanded edition of Human + Machine —including a new chapter on gen AI—Accenture technology leaders Paul Daugherty and Jim Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization, whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly—or completely reimagine them. Based on the authors' experience and research with fifteen hundred organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability and what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader's guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in the new age of AI.

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Practical Julia - Lee Phillips Cover Art

Practical Julia

Practical Julia A Hands-On Introduction for Scientific Minds by Lee Phillips

Learn to use Julia as a tool for research, and solve problems of genuine interest—like modeling the course of a pandemic—in this practical, hands-on introduction to the language. The Julia programming language is acclaimed in scientific circles for its unparalleled ease, interactivity, and speed. Practical Julia is a comprehensive introduction to the language, making it accessible even if you’re new to programming. Dive in with a thorough guide to Julia’s syntax, data types, and best practices, then transition to craft solutions for challenges in physics, statistics, biology, mathematics, scientific machine learning, and more. Whether you’re solving computational problems, visualizing data, writing simulations, or developing specialized tools, Practical Julia will show you how. As you work through the book, you’ll: • Use comprehensions and generators, higher-level functions, array initialization and manipulation, and perform operations on Unicode text • Create new syntax and generate code with metaprogramming and macros, and control the error system to manipulate program execution • Visualize everything from mathematical constructs and experimental designs to algorithm flowcharts • Elevate performance using Julia’s unique type system with multiple dispatch • Delve into scientific packages tailored for diverse fields like fluid dynamics, agent-based modeling, and image processing Whether your interest is in scientific research, statistics, mathematics, or just the fun of programming with Julia, Practical Julia will have you writing high-performance code that can do real work in no time. Online Resources: Ready-to-run code samples, illustrations, and supplemental animations available at https://julia.lee-phillips.org .

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Functional Programming in Scala - Paul Chiusano & Rúnar Bjarnason Cover Art

Functional Programming in Scala

Functional Programming in Scala by Paul Chiusano & Rúnar Bjarnason

Summary Functional Programming in Scala is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. The book guides readers from basic techniques to advanced topics in a logical, concise, and clear progression. In it, you'll find concrete examples and exercises that open up the world of functional programming. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Functional programming (FP) is a style of software development emphasizing functions that don't depend on program state. Functional code is easier to test and reuse, simpler to parallelize, and less prone to bugs than other code. Scala is an emerging JVM language that offers strong support for FP. Its familiar syntax and transparent interoperability with Java make Scala a great place to start learning FP. About the Book Functional Programming in Scala is a serious tutorial for programmers looking to learn FP and apply it to their everyday work. The book guides readers from basic techniques to advanced topics in a logical, concise, and clear progression. In it, you'll find concrete examples and exercises that open up the world of functional programming. This book assumes no prior experience with functional programming. Some prior exposure to Scala or Java is helpful. What's Inside • Functional programming concepts • The whys and hows of FP • How to write multicore programs • Exercises and checks for understanding About the Authors Paul Chiusano and Rúnar Bjarnason are recognized experts in functional programming with Scala and are core contributors to the Scalaz library. Table of Contents PART 1 INTRODUCTION TO FUNCTIONAL PROGRAMMING • What is functional programming? • Getting started with functional programming in Scala • Functional data structures • Handling errors without exceptions • Strictness and laziness • Purely functional state PART 2 FUNCTIONAL DESIGN AND COMBINATOR LIBRARIES • Purely functional parallelism • Property-based testing • Parser combinators PART 3 COMMON STRUCTURES IN FUNCTIONAL DESIGN • Monoids • Monads • Applicative and traversable functors PART 4 EFFECTS AND I/O • External effects and I/O • Local effects and mutable state • Stream processing and incremental I/O

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Systems Programming in Unix/Linux - K.C. Wang Cover Art

Systems Programming in Unix/Linux

Systems Programming in Unix/Linux by K.C. Wang

Covering all the essential components of Unix/Linux, including process management, concurrent programming, timer and time service, file systems and network programming, this textbook emphasizes programming practice in the Unix/Linux environment.    Emphasizing both theory and programming practice.  Systems Programming in Unix/Linux  contains many detailed working example programs with complete source code.  Systems programming is an indispensable part of Computer Science/Engineering education. After taking an introductory programming course, this book is meant to further knowledge by detailing how dynamic data structures are used in practice using programming exercises and programming projects. Systems Programming in Unix/Linux provides a wide range of knowledge about computer system software and advanced programming skills, allowing readers to interface with operating system kernel, make efficient use of system resources and develop application software. It also prepares readers with the needed background to pursue advanced studies in Computer Science/Engineering, such as operating systems, embedded systems, database systems, data mining, artificial intelligence, computer networks, network security, distributed and parallel computing.

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Learning Vulkan - Parminder Singh Cover Art

Learning Vulkan

Learning Vulkan by Parminder Singh

Discover how to build impressive 3D graphics with the next-generation graphics API—Vulkan About This Book • Get started with the Vulkan API and its programming techniques using the easy-to-follow examples to create stunning 3D graphics • Understand memory management in Vulkan and implement image and buffer resources • Get hands-on with the drawing process and synchronization, and render a 3D graphics scene with the Vulkan graphics pipeline Who This Book Is For This book is ideal for graphic programmers who want to get up and running with Vulkan. It's also great for programmers who have experience with OpenGL and other graphic APIs who want to take advantage of next generation APIs. A good knowledge of C/C++ is expected. What You Will Learn • Learn fundamentals of Vulkan programing model to harness the power of modern GPU devices. • Implement device, command buffer and queues to get connected with the physical hardware. • Explore various validation layers and learn how to use it for debugging Vulkan application. • Get a grip on memory management to control host and device memory operations. • Understand and implement buffer and image resource types in Vulkan. • Define drawing operations in the Render pass and implement graphics pipeline. • Manage GLSL shader using SPIR-V and update the shader resources with descriptor sets and push constants. • Learn the drawing process, manage resources with synchronization objects and render 3D scene output on screen with Swapchain. • Bring realism to your rendered 3D scene with textures, and implement linear and optimal textures In Detail Vulkan, the next generation graphics and compute API, is the latest offering by Khronos. This API is the successor of OpenGL and unlike OpenGL, it offers great flexibility and high performance capabilities to control modern GPU devices. With this book, you'll get great insights into the workings of Vulkan and how you can make stunning graphics run with minimum hardware requirements. We begin with a brief introduction to the Vulkan system and show you its distinct features with the successor to the OpenGL API. First, you will see how to establish a connection with hardware devices to query the available queues, memory types, and capabilities offered. Vulkan is verbose, so before diving deep into programing, you'll get to grips with debugging techniques so even first-timers can overcome error traps using Vulkan's layer and extension features. You'll get a grip on command buffers and acquire the knowledge to record various operation commands into command buffer and submit it to a proper queue for GPU processing. We'll take a detailed look at memory management and demonstrate the use of buffer and image resources to create drawing textures and image views for the presentation engine and vertex buffers to store geometry information. You'll get a brief overview of SPIR-V, the new way to manage shaders, and you'll define the drawing operations as a single unit of work in the Render pass with the help of attachments and subpasses. You'll also create frame buffers and build a solid graphics pipeline, as well as making use of the synchronizing mechanism to manage GPU and CPU hand-shaking. By the end, you'll know everything you need to know to get your hands dirty with the coolest Graphics API on the block. Style and approach This book takes a practical approach to guide you through the Vulkan API, and you will get to build an application throughout the course of the book. Since you are expected to be familiar with C/C++, there is not much hand-holding throughout the course of the book.

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Julia as a Second Language - Erik Engheim Cover Art

Julia as a Second Language

Julia as a Second Language by Erik Engheim

Learn the awesome Julia programming language by building fun projects like a rocket launcher, a password keeper, and a battle simulator. Julia as a Second Language covers: • Data types like numbers, strings, arrays, and dictionaries • Immediate feedback with Julia’s read-evaluate-print-loop (REPL) • Simplify code interactions with multiple dispatch • Sharing code using modules and packages • Object-oriented and functional programming styles Julia as a Second Language introduces Julia to readers with a beginning-level knowledge of another language like Python or JavaScript. You’ll learn by coding engaging hands-on projects that encourage you to apply what you’re learning immediately. Don’t be put off by Julia’s reputation as a scientific programming language—there’s no data science or numerical computing knowledge required. You can get started with what you learned in high school math classes. About the Technology Originally designed for high-performance data science, Julia has become an awesome general purpose programming language. It offers developer-friendly features like garbage collection, dynamic typing, and a flexible approach to concurrency and distributed computing. It is the perfect mix of simplicity, flexibility and performance. About the Book Julia as a Second Language introduces Julia by building on your existing programming knowledge. You’ll see Julia in action as you create a series of interesting projects that guide you from Julia’s basic syntax through its advanced features. Master types and data structures as you model a rocket launch. Use dictionaries to interpret Roman numerals. Use Julia’s unique multiple dispatch feature to send knights and archers into a simulated battle. Along the way, you’ll even compare the object-oriented and functional programming styles–Julia supports both! What’s Inside • Data types like numbers, strings, arrays, and dictionaries • Immediate feedback with Julia’s read-evaluate-print-loop (REPL) • Simplify code interactions with multiple dispatch • Share code using modules and packages About the Reader For readers comfortable with another programming language like Python, JavaScript, or C#. About the Author Erik Engheim is a writer, conference speaker, video course author, and software developer. Table of Contents PART 1 - BASICS 1 Why Julia? 2 Julia as a calculator 3 Control flow 4 Julia as a spreadsheet 5 Working with text 6 Storing data in dictionaries PART 2 - TYPES 7 Understanding types 8 Building a rocket 9 Conversion and promotion 10 Representing unknown values PART 3 - COLLECTIONS 11 Working with strings 12 Understanding Julia collections 13 Working with sets 14 Working with vectors and matrices PART 4 - SOFTWARE ENGINEERING 15 Functional programming in Julia 16 Organizing and modularizing your code PART 5 - GOING IN DEPTH 17 Input and output 18 Defining parametric types

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Frictionless - Nicole Forsgren Cover Art

Frictionless

Frictionless 7 Steps to Remove Barriers, Unlock Value, and Outpace Your Competition in the AI Era by Nicole Forsgren

In an era where AI can generate code in minutes, why do software teams still struggle to deliver? While artificial intelligence transforms how we build software, most organizations remain trapped by friction that turns AI's promise of speed into bottleneck nightmares. Slow deployments, brittle systems, and frustrated developers create invisible drag on innovation—costing US companies $1.52 trillion annually in technical debt alone. Frictionless: 7 Steps to Remove Barriers, Unlock Value, and Outpace Your Competition in the AI Era reveals the strategic framework that separates high-performing software organizations from the rest. Authors Nicole Forsgren and Abi Noda show how eliminating development friction isn't just about happier developers—it's about unlocking competitive advantage. Drawing from work with hundreds of software teams, this practical guide demonstrates how companies like LinkedIn transformed their trajectory by systematically removing friction, going from monthly deployments to multiple releases per day. You'll discover how poor developer experience hides catastrophic business risks and—most importantly—how to fix it. Perfect for engineering leaders, CTOs, and anyone responsible for software delivery, this book provides everything needed to transform developer experience: proven measurement frameworks, a 7-step implementation methodology, and real-world strategies that work whether teams embrace AI tools or use established workflows. The organizations investing in developer experience today will move faster, build better, and lead tomorrow. Whether you're struggling with slow deployments, frustrated developers, or unrealized AI potential, Frictionless shows you how to remove the barriers limiting your success. About the Author Nicole Forsgren is an expert in DevOps and Developer Experience and has led and advised DevEx efforts across the industry. She is the lead author of the Shingo Publication Award-winning book Accelerate: The Science of Lean Software and DevOps: Building High Performing Technology Organizations . Her work on technical practices and development has been published in industry and academic journals and is used to guide organizational transformations around the world. For more information, visit her website at nicolefv.com. Abi Noda is the founder and CEO at DX, where he leads the company's strategic direction and R&D efforts. His work focuses on developing measurement methods to help organizations improve developer experience and productivity. Before joining DX, Noda held engineering leadership roles at various companies and founded Pull Panda, which was acquired by GitHub in 2019. For more information, visit his website at abinoda.com.

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Game Mechanics - Ernest Adams & Joris Dormans Cover Art

Game Mechanics

Game Mechanics Advanced Game Design by Ernest Adams & Joris Dormans

This in-depth resource teaches you to craft mechanics that generate challenging, enjoyable, and well-balanced gameplay. You’ll discover at what stages to prototype, test, and implement mechanics in games and learn how to visualize and simulate game mechanics in order to design better games. Along the way, you’ll practice what you’ve learned with hands-on lessons. A free downloadable simulation tool developed by Joris Dormans is also available in order to follow along with exercises in the book in an easy-to-use graphical environment. In Game Mechanics: Advanced Game Design, you’ll learn how to: * Design and balance game mechanics to create emergent gameplay before you write a single line of code. * Visualize the internal economy so that you can immediately see what goes on in a complex game. * Use novel prototyping techniques that let you simulate games and collect vast quantities of gameplay data on the first day of development. * Apply design patterns for game mechanics—from a library in this book—to improve your game designs. * Explore the delicate balance between game mechanics and level design to create compelling, long-lasting game experiences. * Replace fixed, scripted events in your game with dynamic progression systems to give your players a new experience every time they play. "I've been waiting for a book like this for ten years: packed with game design goodness that tackles the science without undermining the art." --Richard Bartle, University of Essex, co-author of the first MMORPG   “Game Mechanics: Advanced Game Design by Joris Dormans & Ernest Adams formalizes game grammar quite well. Not sure I need to write a next book now!”  -- Raph Koster, author of A Theory of Fun for Game Design.

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Theory of Fun for Game Design - Raph Koster Cover Art

Theory of Fun for Game Design

Theory of Fun for Game Design by Raph Koster

Now in full color, the 10th anniversary edition of this classic book takes you deep into the influences that underlie modern video games, and examines the elements they share with traditional games such as checkers. At the heart of his exploration, veteran game designer Raph Koster takes a close look at the concept of fun and why it’s the most vital element in any game. Why do some games become boring quickly, while others remain fun for years? How do games serve as fundamental and powerful learning tools? Whether you’re a game developer, dedicated gamer, or curious observer, this illustrated, fully updated edition helps you understand what drives this major cultural force, and inspires you to take it further. You’ll discover that: Games play into our innate ability to seek patterns and solve puzzlesMost successful games are built upon the same elementsSlightly more females than males now play gamesMany games still teach primitive survival skillsFictional dressing for modern games is more developed than the conceptual elementsTruly creative designers seldom use other games for inspirationGames are beginning to evolve beyond their prehistoric origins

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The Art of Game Design - Jesse Schell Cover Art

The Art of Game Design

The Art of Game Design A Book of Lenses, Third Edition by Jesse Schell

The Art of Game Design guides you through the design process step-by-step, helping you to develop new and innovative games that will be played again and again. It explains the fundamental principles of game design and demonstrates how tactics used in classic board, card and athletic games also work in top-quality video games. Good game design happens when you view your game from as many perspectives as possible, and award-winning author Jesse Schell presents over 100 sets of questions to ask yourself as you build, play and change your game until you finalise your design. This latest third edition includes examples from new VR and AR platforms as well as from modern games such as Uncharted 4 and The Last of Us, Free to Play games, hybrid games, transformational games, and more. Whatever your role in video game development an understanding of the principles of game design will make you better at what you do. For over 10 years this book has provided inspiration and guidance to budding and experienced game designers - helping to make better games faster.

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Coders at Work - Peter Seibel Cover Art

Coders at Work

Coders at Work Reflections on the Craft of Programming by Peter Seibel

This is a who’s who in the programming world - a fascinating look at how some of the best in the world do their work. Patterned after the best selling Founders at Work, the book represents two years of interviews with some of the top programmers of our times.

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Doing Data Science - Cathy O'Neil & Rachel Schutt Cover Art

Doing Data Science

Doing Data Science Straight Talk from the Frontline by Cathy O'Neil & Rachel Schutt

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

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Practical C Programming - Steve Oualline Cover Art

Practical C Programming

Practical C Programming Why Does 2+2 = 5986? by Steve Oualline

There are lots of introductory C books, but this is the first one that has the no-nonsense, practical approach that has made Nutshell Handbooks® famous.C programming is more than just getting the syntax right. Style and debugging also play a tremendous part in creating programs that run well and are easy to maintain. This book teaches you not only the mechanics of programming, but also describes how to create programs that are easy to read, debug, and update.Practical rules are stressed. For example, there are fifteen precedence rules in C (&& comes before || comes before ?:). The practical programmer reduces these to two: Multiplication and division come before addition and subtraction.Contrary to popular belief, most programmers do not spend most of their time creating code. Most of their time is spent modifying someone else's code. This books shows you how to avoid the all-too-common obfuscated uses of C (and also to recognize these uses when you encounter them in existing programs) and thereby to leave code that the programmer responsible for maintenance does not have to struggle with. Electronic Archaeology, the art of going through someone else's code, is described.This third edition introduces popular Integrated Development Environments on Windows systems, as well as UNIX programming utilities, and features a large statistics-generating program to pull together the concepts and features in the language.

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The AI-Savvy Leader - David De Cremer Cover Art

The AI-Savvy Leader

The AI-Savvy Leader Nine Ways to Take Back Control and Make AI Work by David De Cremer

Leaders, don't let AI get the best of you. The AI transformation is underway, but where are the leaders who will ensure their companies implement AI successfully and responsibly? Up until now, leaders have largely ceded their role in the AI transformation, pushing strategy formulation out to tech teams and leaving investment decisions to groups that don't have a full view of the organization or its goals. Just when responsible leadership is more crucial than ever, leaders are abdicating their role in understanding and executing in the new world of human-machine collaboration. A generation of AI transformation failures awaits if leaders don't connect their use of AI to their strategies. This book helps leaders take control of the wildly rapid deployment of AI across organizations. Clearly and concisely, it focuses on the nine actions leaders need to take in order to successfully preside over the transition to a more AI-centric future that will lead to growth for all—companies and workers—and avoid the kinds of mistakes that author David De Cremer has seen many early adopters make. What may surprise you is that the nine actions De Cremer focuses on are based on skills that are second nature to successful leaders: creating a vision, communicating well, and executing a strategy. But here he shows you how to apply these skills in the context of AI. This is not a book about mastering machine learning or any of the latest developments in AI technology itself. Rather, it's a clarion call for leaders to take their rightful place at the front of the AI revolution and lead their organizations successfully into the new world.

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Teach Your Kids to Code - Bryson, Payne Cover Art

Teach Your Kids to Code

Teach Your Kids to Code A Parent-Friendly Guide to Python Programming by Bryson, Payne

Teach Your Kids to Code is a parent's and teacher's guide to teaching kids basic programming and problem solving using Python, the powerful language used in college courses and by tech companies like Google and IBM. Step-by-step explanations will have kids learning computational thinking right away, while visual and game-oriented examples hold their attention. Friendly introductions to fundamental programming concepts such as variables, loops, and functions will help even the youngest programmers build the skills they need to make their own cool games and applications. Whether you've been coding for years or have never programmed anything at all, Teach Your Kids to Code will help you show your young programmer how to: –Explore geometry by drawing colorful shapes with Turtle graphics –Write programs to encode and decode messages, play Rock-Paper-Scissors, and calculate how tall someone is in Ping-Pong balls –Create fun, playable games like War, Yahtzee, and Pong –Add interactivity, animation, and sound to their apps Teach Your Kids to Code is the perfect companion to any introductory programming class or after-school meet-up, or simply your educational efforts at home. Spend some fun, productive afternoons at the computer with your kids—you can all learn something!

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Think Python - Allen Downey Cover Art

Think Python

Think Python by Allen Downey

Python is an excellent way to get started in programming, and this clear, concise guide walks you through Python a step at a time—beginning with basic programming concepts before moving on to functions, data structures, and object-oriented design. This revised third edition reflects the growing role of large language models (LLMs) in programming and includes exercises on effective LLM prompts, testing code, and debugging skills. With this popular hands-on guide at your side, you'll get: A grounding in the syntax and semantics of the Python languageA clear definition of each programming concept, with emphasis on clear vocabularyHow to work with variables, statements, functions, and data structures in a logical progressionTechniques for reading and writing files and databasesA solid understanding of objects, methods, and object-oriented programmingDebugging strategies for syntax, runtime, and semantic errorsAn introduction to recursion, interface design, data structures, and basic algorithmsHow to use LLMs—including effective prompts, testing code, and debuggingAnd more

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Python for Programmers - Paul Deitel & Harvey Deitel Cover Art

Python for Programmers

Python for Programmers by Paul Deitel & Harvey Deitel

The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® Watson™, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, Spark™ and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google Translate™, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more. Features 500+ hands-on, real-world, live-code examples from snippets to case studies IPython + code in Jupyter® Notebooks Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions Procedural, functional-style and object-oriented programming Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames Static, dynamic and interactive visualizations Data experiences with real-world datasets and data sources Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression AI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® Watson™, machine learning, deep learning, computer vision, Hadoop®, Spark™, NoSQL, IoT Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and more Accompanying code examples are available here: http://ptgmedia.pearsoncmg.com/imprint_downloads/informit/bookreg/9780135224335/9780135224335_examples.zip. Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information.

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Grokking Data Structures - Marcello La Rocca Cover Art

Grokking Data Structures

Grokking Data Structures by Marcello La Rocca

Don’t be perplexed by data structures! This fun, friendly, and fully illustrated guide makes it easy to learn useful data structures you’ll put to work every day. Grokking Data Structures makes it a breeze to learn the most useful day-to-day data structures. You’ll follow a steady learning path from absolute basics to advanced concepts, all illustrated with fun examples, engaging industry stories, and hundreds of graphics and cartoons. In Grokking Data Structures you’ll learn how to: • Understand the most important and widely used data structures • Identify use cases where data structures make the biggest difference • Pick the best data structure solution for a coding challenge • Understand the tradeoffs of data structures and avoid catastrophes • Implement basic data collections like arrays, linked lists, stacks, and priority queues • Use trees and binary search trees (BSTs) to organize data • Use graphs to model relationships and learn about complex data • Efficiently search by key using hash tables and hashing functions • Reason about time and memory requirements of operations on data structures Grokking Data Structures carefully guides you from the most basic data structures like arrays or linked lists all the way to powerful structures like graphs. It’s perfect for beginners, and you won’t need anything more than high school math to get started. Each data structure you encounter comes with its own complete Python implementation so you can start experimenting with what you learn right away. Foreword by Daniel Zingaro. About the technology Data structures are vital for shaping and handling your data organization. They’re also an important part of most IT job interviews! Whether you’re new to data structures or just dusting off what you learned in school, this book will get you up to speed fast with no advanced math, abstract theory, or complicated proofs. About the book Grokking Data Structures introduces common and useful data structures that every developer needs to know. Real-world examples show you how data structures are used in practice, from making your searches faster to handling triage in an emergency room. You’ll love the fun cartoons, insightful stories, and useful Python code samples that make data structures come alive. And unlike jargon-laden academic texts, this book is easy-to-read and practical. What's inside • Fast searches using hash tables • Trees and binary search trees (BSTs) to organize data • Use graphs to model complex data • The best data structures for a coding challenge About the reader For readers who know the basics of Python. A perfect companion to Grokking Algorithms! About the author Marcello La Rocca is a research scientist and a full-stack engineer. He has contributed to large-scale web applications and machine learning infrastructure at Twitter, Microsoft, and Apple. The technical editor on this book was Beau Carnes .

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Grokking Machine Learning - Luis Serrano Cover Art

Grokking Machine Learning

Grokking Machine Learning by Luis Serrano

Discover valuable machine learning techniques you can understand and apply using just high-school math. In Grokking Machine Learning you will learn:     Supervised algorithms for classifying and splitting data     Methods for cleaning and simplifying data     Machine learning packages and tools     Neural networks and ensemble methods for complex datasets Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Discover powerful machine learning techniques you can understand and apply using only high school math! Put simply, machine learning is a set of techniques for data analysis based on algorithms that deliver better results as you give them more data. ML powers many cutting-edge technologies, such as recommendation systems, facial recognition software, smart speakers, and even self-driving cars. This unique book introduces the core concepts of machine learning, using relatable examples, engaging exercises, and crisp illustrations. About the book Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you’ll build interesting projects with Python, including models for spam detection and image recognition. You’ll also pick up practical skills for cleaning and preparing data. What's inside     Supervised algorithms for classifying and splitting data     Methods for cleaning and simplifying data     Machine learning packages and tools     Neural networks and ensemble methods for complex datasets About the reader For readers who know basic Python. No machine learning knowledge necessary. About the author Luis G. Serrano is a research scientist in quantum artificial intelligence. Previously, he was a Machine Learning Engineer at Google and Lead Artificial Intelligence Educator at Apple. Table of Contents 1 What is machine learning? It is common sense, except done by a computer 2 Types of machine learning 3 Drawing a line close to our points: Linear regression 4 Optimizing the training process: Underfitting, overfitting, testing, and regularization 5 Using lines to split our points: The perceptron algorithm 6 A continuous approach to splitting points: Logistic classifiers 7 How do you measure classification models? Accuracy and its friends 8 Using probability to its maximum: The naive Bayes model 9 Splitting data by asking questions: Decision trees 10 Combining building blocks to gain more power: Neural networks 11 Finding boundaries with style: Support vector machines and the kernel method 12 Combining models to maximize results: Ensemble learning 13 Putting it all in practice: A real-life example of data engineering and machine learning

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Deep Learning with Python, Third Edition - Francois Chollet & Matthew Watson Cover Art

Deep Learning with Python, Third Edition

Deep Learning with Python, Third Edition by Francois Chollet & Matthew Watson

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python. In Deep Learning with Python, Third Edition you’ll discover: • Deep learning from first principles • The latest features of Keras 3 • A primer on JAX, PyTorch, and TensorFlow • Image classification and image segmentation • Time series forecasting • Large Language models • Text classification and machine translation • Text and image generation—build your own GPT and diffusion models! • Scaling and tuning models With over 100,000 copies sold, Deep Learning with Python makes it possible for developers, data scientists, and machine learning enthusiasts to put deep learning into action. In this expanded and updated third edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. You'll master state-of-the-art deep learning tools and techniques, from the latest features of Keras 3 to building AI models that can generate text and images. About the technology In less than a decade, deep learning has changed the world—twice. First, Python-based libraries like Keras, TensorFlow, and PyTorch elevated neural networks from lab experiments to high-performance production systems deployed at scale. And now, through Large Language Models and other generative AI tools, deep learning is again transforming business and society. In this new edition, Keras creator François Chollet invites you into this amazing subject in the fluid, mentoring style of a true insider. About the book Deep Learning with Python, Third Edition makes the concepts behind deep learning and generative AI understandable and approachable. This complete rewrite of the bestselling original includes fresh chapters on transformers, building your own GPT-like LLM, and generating images with diffusion models. Each chapter introduces practical projects and code examples that build your understanding of deep learning, layer by layer. What's inside • Hands-on, code-first learning • Comprehensive, from basics to generative AI • Intuitive and easy math explanations • Examples in Keras, PyTorch, JAX, and TensorFlow About the reader For readers with intermediate Python skills. No previous experience with machine learning or linear algebra required. About the author François Chollet is the co-founder of Ndea and the creator of Keras. Matthew Watson is a software engineer at Google working on Gemini and a core maintainer of Keras. Table of Contents 1 What is deep learning? 2 The mathematical building blocks of neural networks 3 Introduction to TensorFlow, PyTorch, JAX, and Keras 4 Classification and regression 5 Fundamentals of machine learning 6 The universal workflow of machine learning 7 A deep dive on Keras 8 Image classification 9 ConvNet architecture patterns 10 Interpreting what ConvNets learn 11 Image segmentation 12 Object detection 13 Timeseries forecasting 14 Text classification 15 Language models and the Transformer 16 Text generation 17 Image generation 18 Best practices for the real world 19 The future of AI 20 Conclusions

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Deep Learning Crash Course - Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg & Harshith Bachimanchi Cover Art

Deep Learning Crash Course

Deep Learning Crash Course by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg & Harshith Bachimanchi

Build AI Models from Scratch (No PhD Required) Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today’s most powerful AI models from scratch. No experience with deep learning required! Designed for programmers who may be new to deep learning, this book offers practical, hands-on experience, not just an abstract understanding of theory. You’ll start from the basics, and using PyTorch with real datasets, you’ll quickly progress from your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub. You’ll build and train models to:  Classify and analyze images, sequences, and time seriesGenerate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion modelsProcess natural language with recurrent neural networks and transformersModel molecules and physical systems with graph neural networksImprove continuously through reinforcement and active learningPredict chaotic systems with reservoir computing Whether you’re an engineer, scientist, or professional developer, you’ll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With Deep Learning Crash Course , you’ll move from using AI tools to creating them.

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CERT® C Coding Standard, Second Edition, The - Robert Seacord Cover Art

CERT® C Coding Standard, Second Edition, The

CERT® C Coding Standard, Second Edition, The 98 Rules for Developing Safe, Reliable, and Secure Systems by Robert Seacord

“At Cisco, we have adopted the CERT C Coding Standard as the internal secure coding standard for all C developers. It is a core component of our secure development lifecycle. The coding standard described in this book breaks down complex software security topics into easy-to-follow rules with excellent real-world examples. It is an essential reference for any developer who wishes to write secure and resilient software in C and C++.” —Edward D. Paradise, vice president, engineering, threat response, intelligence, and development, Cisco Systems Secure programming in C can be more difficult than even many experienced programmers realize. To help programmers write more secure code, The CERT® C Coding Standard, Second Edition, fully documents the second official release of the CERT standard for secure coding in C. The rules laid forth in this new edition will help ensure that programmers’ code fully complies with the new C11 standard; it also addresses earlier versions, including C99. The new standard itemizes those coding errors that are the root causes of current software vulnerabilities in C, prioritizing them by severity, likelihood of exploitation, and remediation costs. Each of the text’s 98 guidelines includes examples of insecure code as well as secure, C11-conforming, alternative implementations. If uniformly applied, these guidelines will eliminate critical coding errors that lead to buffer overflows, format-string vulnerabilities, integer overflow, and other common vulnerabilities. This book reflects numerous experts’ contributions to the open development and review of the rules and recommendations that comprise this standard. Coverage includes Preprocessor Declarations and Initialization Expressions Integers Floating Point Arrays Characters and Strings Memory Management Input/Output Environment Signals Error Handling Concurrency Miscellaneous Issues

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Total Typescript - Matt Pocock & Taylor Bell Cover Art

Total Typescript

Total Typescript by Matt Pocock & Taylor Bell

A no-nonsense guide to all the essentials you’ll need to become a TypeScript wizard and build a TypeScript application from scratch. If you're an experienced JavaScript developer or want to level up your current TypeScript skills, with Total TypeScript , you'll learn everything you need to build a TypeScript product from scratch. Based on a series of sold-out workshops, the material in Total TypeScript has been tested by hundreds of developers to ensure their effectiveness and value. You'll explore useful patterns you can immediately apply in your projects and helpful workarounds for TypeScript’s most common pitfalls. Dozens of exercises throughout range from writing solutions from scratch to advanced typing to debugging, so you'll be prepared for the gotchas that appear in real-world applications. You'll also learn how to: Set up a TypeScript development environment and how to leverage its superpower IDE. Add types to functions, arrays, and objects, and make reusable types with type aliasesExpress object types, including index signatures, Records, and interfacesTake advantage of classic object-oriented patterns in your codeConfigure TypeScript for any situation and powerful features to design your own types With this straightforward and approachable guide, you'll go from learning the foundations to a TypeScript wizard equipped to handle any TypeScript project that comes your way with confidence.

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Spring AI in Action - Craig Walls Cover Art

Spring AI in Action

Spring AI in Action by Craig Walls

Use Spring AI to add generative AI features like virtual assistants, text summaries, and suggestions to your Java applications. No matter what kind of software you’re building, there’s a huge demand for AI features! Until recently, though, Java developers have had few good tools for adding AI features to existing and new applications. Spring AI, an exciting new extension for Spring and Spring Boot, changes the equation. Spring AI provides generative AI capabilities natively within the framework, so you can stick with Java end-to-end. Spring AI in Action shows you how! In Spring AI in Action you will: • Learn Spring AI from the ground up! • Create text summaries, virtual assistants and more in Spring Boot applications • RAG and other techniques to improve LLM responses • Text from images and images from text Spring AI makes it much, much easier to add generative AI features to Spring applications. With this powerful framework extension, you can write familiar Java code to build AI features like virtual assistants, text summaries, and smart search suggestions. About the technology When it comes to AI applications, no Python, no problem! The Spring AI framework makes it possible to add LLM-based features to any Spring application using Java or other JVM languages like Kotlin. From setting up Retrieval Augmented Generation (RAG) to creating AI agents, Spring AI is fast, powerful, and instantly familiar. About the book In Spring AI in Action , bestselling author Craig Walls shows you how to build AI applications natively using Spring AI and Spring Boot. You’ll start with a simple “Hello AI World” example and quickly advance to more sophisticated techniques, including RAG, AI agents, tool use, speech, and AI observability. You’ll see Craig’s practical example-driven approach—with a relentless emphasis on getting stuff done. What's inside • Learn Spring AI from the ground up! • Create text summaries, virtual assistants and more • RAG, agents, and multimodal AI • Chat and conversational memory • AI tool use About the reader For Spring developers. No Generative AI skills required. About the author Craig Walls is a principal engineer, a member of the Spring engineering team, and a frequent conference speaker. He is the author of Spring in Action , the bestselling book ever published on Spring Framework. Table of Contents 1 Getting started with Spring AI 2 Evaluating generated responses 3 Submitting prompts for generation 4 Talking with your documents 5 Enabling conversational memory 6 Activating tool-driven generation 7 Applying Model Context Protocol 8 Generating with voice and pictures 9 Observing AI operations 10 Safeguarding generative AI 11 Applying generative AI patterns 12 Employing agents

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Systems Programming - Peter Johnson Cover Art

Systems Programming

Systems Programming Concepts and Techniques by Peter Johnson

"Systems Programming: Concepts and Techniques" offers a comprehensive exploration of the foundational elements that underpin the operation and control of modern computing systems. Designed for beginners and those seeking to solidify their understanding, this book delves deeply into the critical areas of systems programming, from the intricacies of operating systems and memory management to the complex dynamics of concurrency and synchronization. Each chapter is meticulously structured to build upon previous knowledge, guiding the reader through a logical progression of topics essential for mastering system-level programming. This book provides a detailed examination of essential concepts such as process and thread management, interprocess communication, networking, and file systems. Readers will gain valuable insights into optimizing system performance through chapters dedicated to debugging, profiling, and advanced programming techniques. Real-world examples and case studies further enrich the learning experience, ensuring that readers are well-equipped to develop efficient, robust, and scalable system software. With its elegant and matter-of-fact style, "Systems Programming: Concepts and Techniques" serves as both an educational resource and a practical reference, empowering readers to navigate the complexities of systems programming with confidence and competence. Whether developing software on personal computers or large-scale servers, this book lays the foundation for understanding the critical components that drive today's digital infrastructure.

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Spring Boot and Angular - Devlin Basilan Duldulao & Seiji Ralph Villafranca Cover Art

Spring Boot and Angular

Spring Boot and Angular Hands-on full stack web development with Java, Spring, and Angular by Devlin Basilan Duldulao & Seiji Ralph Villafranca

Design, build, and deploy performant and maintainable web applications using Spring, Spring Boot, and Angular Key Features Find solutions to common problems faced while developing applications with Angular and Spring BootExplore tips, tricks, and best practices to overcome challenges related to source codeBuild applications faster and more efficiently using the Spring Framework and the Spring Boot extension Book Description Angular makes building applications with the web easy and Spring Boot helps get an application up and running using just a few lines of code and minimal configuration. This book provides insights into building full-stack apps using Angular and Spring Boot effectively to reduce overall development time and increase efficiency. You'll start by setting up your CI/CD pipeline and then build your web application's backend guided by best practices. You'll then see how Spring Boot allows you to build applications faster and more efficiently by letting the Spring Framework and Spring Boot extension do the heavy lifting. The book demonstrates how to use Spring Data JPA and add its dependencies along with Postgres dependencies in the project to save or persist a user's data in a database for future use. As you advance, you'll see how to write tests and test a service using Mockito. Finally, you'll create a CI workflow or pipeline for a Spring Boot and Angular application to enable operations to deliver quality applications faster. By the end of this Spring Boot and Angular book, you'll be able to build a full-stack web application and deploy it through continuous integration and continuous deployment. What you will learn Explore how to architect Angular for enterprise-level app developmentCreate a Spring Boot project using Spring InitializrBuild RESTful APIs for enterprise-level app developmentUnderstand how using Redis for caching can improve your application's performanceDiscover CORS and how to add CORS policy in the Spring Boot application for better securityWrite tests to maintain a healthy Java Spring Boot applicationImplement testing and modern deployments of frontend and backend applications Who this book is for The book is for busy Java web developers and TypeScript developers with little experience developing Angular and Spring Boot apps who want to learn best practices for building full-stack web apps. Basic knowledge of HTML, CSS, and JavaScript or the Java programming language is necessary.

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Build a Large Language Model (From Scratch) - Sebastian Raschka Cover Art

Build a Large Language Model (From Scratch)

Build a Large Language Model (From Scratch) by Sebastian Raschka

How to implement LLM attention mechanisms and GPT-style transformers. In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks. Build a Large Language Model (from Scratch) teaches you how to: • Plan and code all the parts of an LLM • Prepare a dataset suitable for LLM training • Fine-tune LLMs for text classification and with your own data • Use human feedback to ensure your LLM follows instructions • Load pretrained weights into an LLM Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you’ll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant. About the technology Physicist Richard P. Feynman reportedly said, “I don’t understand anything I can’t build.” Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning. About the book Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you’ll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you’ll really understand it because you built it yourself! What's inside • Plan and code an LLM comparable to GPT-2 • Load pretrained weights • Construct a complete training pipeline • Fine-tune your LLM for text classification • Develop LLMs that follow human instructions About the reader Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs. About the author Sebastian Raschka , PhD, is an LLM Research Engineer with over a decade of experience in artificial intelligence. His work spans industry and academia, including implementing LLM solutions as a senior engineer at Lightning AI and teaching as a statistics professor at the University of Wisconsin–Madison. Sebastian collaborates with Fortune 500 companies on AI solutions and serves on the Open Source Board at University of Wisconsin–Madison. He specializes in LLMs and the development of high-performance AI systems, with a deep focus on practical, code-driven implementations. He is the author of the bestselling books Machine Learning with PyTorch and Scikit-Learn , and Machine Learning Q and AI . The technical editor on this book was David Caswell . Table of Contents 1 Understanding large language models 2 Working with text data 3 Coding attention mechanisms 4 Implementing a GPT model from scratch to generate text 5 Pretraining on unlabeled data 6 Fine-tuning for classification 7 Fine-tuning to follow instructions A Introduction to PyTorch B References and further reading C Exercise solutions D Adding bells and whistles to the training loop E Parameter-efficient fine-tuning with LoRA

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Python Crash Course, 3rd Edition - Eric Matthes Cover Art

Python Crash Course, 3rd Edition

Python Crash Course, 3rd Edition A Hands-On, Project-Based Introduction to Programming by Eric Matthes

Python Crash Course is the world’s bestselling programming book, with over 1,500,000 copies sold to date! Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time. You’ll start by learning basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. You’ll put your new knowledge into practice by creating a Space Invaders–inspired arcade game, building a set of data visualizations with Python’s handy libraries, and deploying a simple application online. As you work through the book, you’ll learn how to: Use powerful Python libraries and tools, including pytest, Pygame, Matplotlib, Plotly, and DjangoMake increasingly complex 2D games that respond to keypresses and mouse clicksGenerate interactive data visualizations using a variety of datasetsBuild apps that allow users to create accounts and manage their own data, and deploy your apps online Troubleshoot coding errors and solve common programming problems New to this edition : This third edition is completely revised to reflect the latest in Python code. New and updated coverage includes VS Code for text editing, the pathlib module for file handling, pytest for testing your code, as well as the latest features of Matplotlib, Plotly, and Django. If you’ve been thinking about digging into programming, Python Crash Course will provide you with the skills to write real programs fast. Why wait any longer? Start your engines and code! Covers Python 3.x

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An Introduction to Programming Using Swift - Randall Hyde Cover Art

An Introduction to Programming Using Swift

An Introduction to Programming Using Swift by Randall Hyde

An Introduction to Programming Using Swift Swift is a modern, powerful programming language—but learning it well requires more than memorizing syntax. An Introduction to Programming Using Swift teaches programming fundamentals from first principles, using Swift as the vehicle rather than the obstacle. This book is designed for beginners with no prior programming experience, as well as experienced programmers who want a deep, systematic understanding of Swift. Instead of treating Swift as “just another language,” it explains how programming concepts actually work—data representation, control flow, abstraction, design, and problem solving—and then shows how Swift expresses those ideas cleanly and safely. Topics include: Core programming concepts such as variables, control flow, functions, and data structures Swift’s strong type system, value vs. reference semantics, and memory management Enumerations, structures, classes, protocols, and protocol-oriented design Error handling, optionals, pattern matching, and generics Practical program design techniques, including top-down design and refactoring Realistic examples and larger case studies that reinforce problem-solving skills Unlike many Swift books that focus narrowly on app frameworks, this book emphasizes language mastery and software design, making it suitable for classroom use, self-study, or as a reference for developers transitioning to Swift. Whether you are learning to program for the first time or expanding your expertise, An Introduction to Programming Using Swift provides a clear, rigorous, and practical foundation for writing correct, expressive, and maintainable Swift code. Note: This is a special pre-release beta edition of the book.

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PowerShell for Sysadmins - Adam Bertram Cover Art

PowerShell for Sysadmins

PowerShell for Sysadmins Workflow Automation Made Easy by Adam Bertram

Learn to use PowerShell, Microsoft's scripting language, to automate real-world tasks that IT professionals and system administrators deal with every day. Save Time. Automate. PowerShell® is both a scripting language and an administrative shell that lets you control and automate nearly every aspect of IT. In PowerShell for Sysadmins , five-time Microsoft® MVP "Adam the Automator" Bertram shows you how to use PowerShell to manage and automate your desktop and server environments so that you can head out for an early lunch. You'll learn how to: Combine commands, control flow, handle errors, write scripts, run scripts remotely, and test scripts with the PowerShell testing framework, PesterParse structured data like XML and JSON, work with common domains (like Active Directory, Azure, and Amazon Web Services), and create a real-world server inventory scriptDesign and build a PowerShell module to demonstrate PowerShell isn't just about ad-hoc scriptsUse PowerShell to create a hands-off, completely automated Windows deploymentBuild an entire Active Directory forest from nothing but a Hyper-V host and a few ISO filesCreate endless Web and SQL servers with just a few lines of code!Real-world examples throughout help bridge the gap between theory and actual system, and the author's anecdotes keep things lively. Stop with the expensive software and fancy consultants. Learn how to manage your own environment with PowerShell for Sysadmins and make everyone happy. Covers Windows PowerShell v5.1

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Take Control of the Mac Command Line with Terminal, Third Edition - Joe Kissell Cover Art

Take Control of the Mac Command Line with Terminal, Third Edition

Take Control of the Mac Command Line with Terminal, Third Edition by Joe Kissell

Learn how to unleash your inner Unix geek! Version 3.5, updated January 8, 2026 Release your inner geek and harness the power of the Unix underpinnings of macOS! This book from Joe Kissell explains everything you need to know to become comfortable working on the command line in Terminal, and provides numerous "recipes" for performing useful tasks. If you've ever thought you should learn to use the Unix command line that underlies macOS, or felt at sea when typing commands into Terminal, Joe Kissell is here to help! With this 229-page book, you'll become comfortable working on the Mac's command line, starting with the fundamentals and adding more advanced topics as your knowledge increases. Joe includes 67 real-life "recipes" for tasks that are best done from the command line, as well as directions for working with permissions, carrying out grep-based searches, creating shell scripts, and installing Unix software. The book begins by teaching you these core concepts: • The differences among Unix, a command line, a shell, and Terminal • Exactly how commands, arguments, and flags work • The basics of Terminal's interface and how to customize it Next, it's on to the command line, where you'll learn: • How to navigate your Mac's directory structure • Basic file management: creating, copying, moving, renaming, opening, viewing, and deleting files • Creating symbolic links • The types of command-line programs • How to start and stop a command-line program • How to edit a text file in nano • How to customize your prompt and other shell defaults • The importance of your PATH and how to change it, if you need to • How to get help (Joe goes way beyond telling you to read the man pages) You'll extend your skills as you discover how to: • Create basic shell scripts to automate repetitive tasks. • Make shell scripts that have variables, user input, conditional statements, loops, and math. • See which programs are running and what system resources they're consuming. • Quit programs that refuse to quit normally. • Enable the command line to interact with the Finder. • Control another Mac via its command line with ssh. • Understand and change an item's permissions, owner, and group. • Run commands as the root user using sudo. • Handle output with pipe (|) or redirect (> or <). • Use grep to search for text patterns in files and filter output. • Install new command-line software from scratch or with a package manager. • Use handy shortcuts in the Terminal app itself and in zsh. Questions answered include: • What changed on the command line in recent versions of macOS? • What are the differences between the zsh shell and the bash shell? • Which shell am I using, and how can I change my default shell? • How do I quickly figure out the path to an item on my Mac? • How can I customize my Terminal window so I can see man pages behind it? • How can I make a shortcut to avoid retyping the same long command? • Is there a trick for entering a long path quickly? • What should I say when someone asks if I know how to use vi? • How do I change my prompt to suit my mood or needs? • What is Command Line Tools for Xcode? • When it comes to package managers, which one should I use? Finally, to help you put it all together, the book showcases 67 real-world "recipes" that combine commands to perform useful tasks, such as listing users who've logged in recently, manipulating graphics, using a separate FileVault password, creating and editing user accounts, figuring out why a disk won't eject, copying the source code of a webpage, determining which apps have open connections to the internet, flushing the DNS cache, finding out why a Mac won't sleep, sending an SMS message, and deleting stubborn items from the Trash.

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Grokking Algorithms, Second Edition - Aditya Y. Bhargava Cover Art

Grokking Algorithms, Second Edition

Grokking Algorithms, Second Edition by Aditya Y. Bhargava

A friendly, fully-illustrated introduction to the most important computer programming algorithms. Master the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you’ll actually enjoy learning about algorithms with this fun and friendly guide! In Grokking Algorithms, Second Edition you will discover: • Search, sort, and graph algorithms • Data structures such as arrays, lists, hash tables, trees, and graphs • NP-complete and greedy algorithms • Performance trade-offs between algorithms • Exercises and code samples in every chapter • Over 400 illustrations with detailed walkthroughs The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This revised second edition contains brand new coverage of trees, including binary search trees, balanced trees, B-trees and more. You’ll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book’s fully annotated code samples have been updated to Python 3. Foreword by Daniel Zingaro. About the technology The algorithms you use most often have already been discovered, tested, and proven. Grokking Algorithms, Second Edition makes it a breeze to learn, understand, and use them. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, it’s the perfect way to unlock the power of algorithms in your everyday work and prepare for your next coding interview—no math required! About the book Grokking Algorithms, Second Edition teaches you important algorithms to speed up your programs, simplify your code, and solve common programming problems. Start with tasks like sorting and searching, then build your skills to tackle advanced problems like data compression and artificial intelligence. You’ll even learn to compare the performance tradeoffs between algorithms. Plus, this new edition includes fresh coverage of trees, NP-complete problems, and code updates to Python 3. What's inside • Search, sort, and graph algorithms • Data structures such as arrays, lists, hash tables, trees, and graphs • NP-complete and greedy algorithms • Exercises and code samples in every chapter About the reader No advanced math or programming skills required. About the author Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Table of Contents 1 Introduction to algorithms 2 Selection sort 3 Recursion 4 Quicksort 5 Hash tables 6 Beadth-first search 7 Trees 8 Balanced trees 9 Dijkstra’s algorithm 10 Greedy algorithms 11 Dynamic programming 12 k-nearest neighbors 13 where to go next

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JavaScript All-in-One For Dummies - Chris Minnick Cover Art

JavaScript All-in-One For Dummies

JavaScript All-in-One For Dummies by Chris Minnick

A developer’s resource to learning one of the most-used scripting languages JavaScript All-in-One For Dummies saves you shelf space by offering a complete introduction to JavaScript and how it’s used in the real world. This book serves up JavaScript coding basics before diving into the tools, libraries, frameworks, and runtime environments new and experienced coders need to know. Start by learning the basics of JavaScript and progress through the techniques and tools used by professional JavaScript developers, even if you’ve never written code before. You also get the details of today’s hottest libraries and frameworks—React.js, Vue.js, Svelte, and Node.js.  Learn the basics of web and application development with the JavaScript language Grasp the similarities and differences between React.js, Vue.js, and Svelte Discover how to write server-side JavaScript and how to access databases with Node.js Gain a highly marketable skill, with one of the most popular coding languages Launch or further your career as a coder with easy-to-follow instruction This is the go-to Dummies guide for future and current coders who need an all-inclusive guide JavaScript. This is the go-to Dummies guide for future and current coders who need an all-inclusive guide to the world of JavaScript.

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SwiftUI for iOS 26 &amp; Xcode 26 — Complete Developer’s Guide - J.R. Mulroy Cover Art

SwiftUI for iOS 26 & Xcode 26 — Complete Developer’s Guide

SwiftUI for iOS 26 & Xcode 26 — Complete Developer’s Guide How to Master Swift 6 & Liquid Glass Design to Build Amazing Apps for iPhone, iPad & Mac by J.R. Mulroy

Are you ready to stop guessing your way through SwiftUI — and finally understand how to build beautiful, modern apps for iPhone, iPad & Mac with confidence? SwiftUI for iOS 26 & Xcode 26 — Complete Developer’s Guide is not a copy-paste project book. It’s a professional-level roadmap that teaches you the foundations, patterns, and mental models every serious iOS developer must master to build scalable, maintainable apps. Instead of walking you through one disposable sample app, this guide shows you how SwiftUI actually works, how to think in SwiftUI, and how to structure real features the way working developers do. Inside, you’ll discover how to: — Set up Xcode 26 and your development workflow the right way, avoiding beginner mistakes that slow progress. — Apply Swift 6’s clean syntax, concurrency updates, and speed improvements to write safer, faster code. — Understand the core SwiftUI building blocks so you can build any interface — not just follow a template. — Use Liquid Glass design principles to create modern, fluid layouts that match iOS 26’s visual language. — Combine SwiftUI with UIKit effectively, manage state with confidence, and architect features that scale. This is a concept-first, mastery-focused guide designed to build long-term skill — not a quick tutorial you forget tomorrow. Whether you’re new to SwiftUI or leveling up for iOS 26, you’ll learn the frameworks, patterns, and thinking processes used in real development today. Most tutorials show you what to type. This book teaches you how to build well — and that’s what separates hobbyists from true developers. If you’re ready to understand SwiftUI at a deeper level, work faster in Xcode, and design apps that look and feel like iOS 26, this guide will take you there.

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SwiftUI for iOS 26 &amp; Xcode 26 — Beginner's Developer’s Guide - J.R. Mulroy Cover Art

SwiftUI for iOS 26 & Xcode 26 — Beginner's Developer’s Guide

SwiftUI for iOS 26 & Xcode 26 — Beginner's Developer’s Guide How to Master Swift 6 and Liquid Glass Design to Build Next Generation Apps for iPhone, iPad & Mac by J.R. Mulroy

SwiftUI for iOS 26 & Xcode 26 — Beginner’s Developer’s Guide Ready to build your first real app — and finally understand how SwiftUI, Swift 6, and Xcode 26 all work together? This isn’t just another collection of snippets or quick tips. SwiftUI for iOS 26 & Xcode 26 — Beginner’s Developer’s Guide is your complete step-by-step path to learning modern iOS development — from setup to your first full-featured app. Inside, you’ll discover how to: — Build a strong foundation in Swift 6 and understand the core language concepts every iOS developer needs. — Use SwiftUI’s declarative design system to create beautiful, responsive interfaces for iPhone, iPad, and Mac. — Learn layout, navigation, and state management the right way — no outdated hacks or boilerplate. — Master Liquid Glass design principles to craft sleek, modern interfaces that feel alive. — Connect your apps to real data using SwiftData, Apple’s next-generation persistence framework. — Explore Apple Intelligence features and discover how to integrate AI-driven assistance in your projects. — Gain confidence with testing, debugging, and project structure — the skills that separate beginners from developers. This isn’t about copying code. It’s about learning the why behind each line — and gaining the clarity to design, build, and ship your own iOS apps with confidence. Whether you’re completely new to Swift or finally ready to move from hobbyist to hands-on developer, this guide gives you everything you need to start building the future — one SwiftUI project at a time.

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iOS 26 App Development Essentials - SwiftUI Edition - Neil Smyth Cover Art

iOS 26 App Development Essentials - SwiftUI Edition

iOS 26 App Development Essentials - SwiftUI Edition Developing iOS 26 Apps using SwiftUI, Swift and Xcode 26 by Neil Smyth

This book teaches the skills needed to build iOS applications using SwiftUI, Xcode, and the Swift programming language. Beginning with the basics, this book outlines the steps to set up an iOS development environment, along with an introduction to using Swift Playgrounds for learning and experimenting with the Swift programming language. The book also includes in-depth chapters that introduce the Swift programming language, covering data types, control flow, functions, object-oriented programming, property wrappers, structured concurrency, and error handling. This guide begins with an introduction to key concepts of SwiftUI and project architecture, followed by a detailed tour of Xcode and AI-assisted development using Coding Intelligence. The book also covers how to create custom SwiftUI views, combine them to build user interface layouts, including stacks, frames, and forms. Other topics covered include data handling using state properties and observable, state, and environment objects, as well as key user interface design concepts such as modifiers, lists, tabbed views, context menus, user interface navigation, and outline groups. The book also includes chapters covering graphics and Liquid Glass effects, user interface animation, view transitions, and gesture handling, as well as WidgetKit, Live Activities, document-based apps, Core Data, SwiftData, and CloudKit. Throughout the book, each concept is reinforced with hands-on tutorials and downloadable source code. Additionally, over 50 online quizzes are available to test your knowledge and understanding.

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iOS Architecture Patterns - Raúl Ferrer García Cover Art

iOS Architecture Patterns

iOS Architecture Patterns MVC, MVP, MVVM, VIPER, and VIP in Swift by Raúl Ferrer García

Develop well-structured applications using tested techniques and patterns. When you start to develop an application, you not only have to think about the idea of the finished application, but also about how it will evolve as it is built. This book shows you how to plan for changes, scope creep, and for the possibility of other developers joining in.  Start by learning what architecture patterns for an application are. You’ll find out why it’s important for your applications to be based on these patterns and which ones are the most common. Then you’ll look at the MVC as one of the best known and used patterns. You’ll see how and when it can be implemented in your applications, as well as its advantages and disadvantages.  From there, you’ll discover the first evolution of the MVC model: the MVP, which introduces a new layer (Presenter) to better manage views. The next evolution after that is the MVVM, which introduces the ViewModel layer and its connection with the views through Data Binding. With those prominent patterns covered, you’ll read about VIPER and VIP, Architecture Patterns that seeks to make applications easily maintainable, modularized, and highly scalable. All of which are hallmarks of Clean Architecture.   Architecture patterns have developed and evolved to give your applications solid foundations. Understanding these patterns, you will reduce the problems that may arise when modifying existing functions, adding new ones, or correcting errors that may arise in the development process.

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Ultimate Django for Web App Development Using Python - Leonardo Luis Lazzaro Cover Art

Ultimate Django for Web App Development Using Python

Ultimate Django for Web App Development Using Python Build Modern, Reliable and Scalable Production-Grade Web Applications with Django and Python by Leonardo Luis Lazzaro

Craft Scalable and Dynamic Web Apps using Django and Python Book Description This comprehensive guide is an indispensable resource for developers seeking to elevate their web development skills in Django and Python. The book begins by establishing a strong foundation and understanding of Django's architecture, emphasizing the Model-View-Template (MVT) pattern and a pivotal service layer for creating scalable web applications. The book then progresses to practical aspects, guiding readers through the development of a Task Management App. This hands-on approach reinforces fundamental concepts and showcases Django's flexibility and efficiency in real-world scenarios. The advanced sections of the book will help you tackle complex challenges, covering topics like preventing double-form submissions, implementing offline pessimistic and optimistic locking techniques, mastering API development with Django Ninja, and ensuring application reliability through exhaustive testing with pytest. The book culminates in practical insights for deploying Django applications with Docker and Kubernetes, this guide equips you to tackle real-world challenges effectively. Table of Contents 1. Introduction to Django and Python 2. Setting Up Your Development Environment 3. Getting Started with Django Projects and Apps 4. Django Models and PostgreSQL 5. Django Views and URL Handling 6. Using the Django Template Engine 7. Forms in Django 8. User Authentication and Authorization in Django 9. Django Ninja and APIs 10. Testing with pytest 11. Deploying Django Applications with Gunicorn and Docker 12. Final Thoughts and Future Directions Index

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Quantum Computing Algorithms - Barry Burd Cover Art

Quantum Computing Algorithms

Quantum Computing Algorithms Discover how a little math goes a long way by Barry Burd

Explore essential quantum computing algorithms and master concepts intuitively with minimal math expertise required Key Features Learn the fundamentals with an introduction to matrix arithmeticWrite quantum computing programs in Qiskit—IBM’s publicly available quantum computing websiteEmail your questions directly to the author—no question is too elementaryPurchase of the print or Kindle book includes a free PDF eBook Book Description Navigate the quantum computing spectrum with this book, bridging the gap between abstract, math-heavy texts and math-avoidant beginner guides. Unlike intermediate-level books that often leave gaps in comprehension, this all-encompassing guide offers the missing links you need to truly understand the subject. Balancing intuition and rigor, this book empowers you to become a master of quantum algorithms. No longer confined to canned examples, you'll acquire the skills necessary to craft your own quantum code. Quantum Computing Algorithms is organized into four sections to build your expertise progressively. The first section lays the foundation with essential quantum concepts, ensuring that you grasp qubits, their representation, and their transformations. Moving to quantum algorithms, the second section focuses on pivotal algorithms — specifically, quantum key distribution and teleportation. The third section demonstrates the transformative power of algorithms that outpace classical computation and makes way for the fourth section, helping you to expand your horizons by exploring alternative quantum computing models. By the end of this book, quantum algorithms will cease to be mystifying as you make this knowledge your asset and enter a new era of computation, where you have the power to shape the code of reality. What you will learn Define quantum circuitsHarness superposition and entanglement to solve classical problemsGain insights into the implementation of quantum teleportationExplore the impact of quantum computing on cryptographyTranslate theoretical knowledge into practical skills by writing and executing code on real quantum hardwareExpand your understanding of this domain by uncovering alternative quantum computing models Who this book is for This book is for individuals familiar with algebra and computer programming, eager to delve into modern physics concepts. Whether you've dabbled in introductory quantum computing material or are seeking deeper insights, this quantum computing book is your gateway to in-depth exploration.

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Superintelligence - Nick Bostrom Cover Art

Superintelligence

Superintelligence Paths, Dangers, Strategies by Nick Bostrom

The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains. If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of the gorillas now depends more on us humans than on the gorillas themselves, so the fate of our species then would come to depend on the actions of the machine superintelligence. But we have one advantage: we get to make the first move. Will it be possible to construct a seed AI or otherwise to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation? To get closer to an answer to this question, we must make our way through a fascinating landscape of topics and considerations. Read the book and learn about oracles, genies, singletons; about boxing methods, tripwires, and mind crime; about humanity's cosmic endowment and differential technological development; indirect normativity, instrumental convergence, whole brain emulation and technology couplings; Malthusian economics and dystopian evolution; artificial intelligence, and biological cognitive enhancement, and collective intelligence. This profoundly ambitious and original book picks its way carefully through a vast tract of forbiddingly difficult intellectual terrain. Yet the writing is so lucid that it somehow makes it all seem easy. After an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in Nick Bostrom's work nothing less than a reconceptualization of the essential task of our time.

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Diving In - iOS App Development for Non-Programmers - Kevin J McNeish Cover Art

Diving In - iOS App Development for Non-Programmers

Diving In - iOS App Development for Non-Programmers The Series on How to Create iPhone & iPad Apps by Kevin J McNeish

Winner of the Publishing Innovation Award! "Dedicated to Steve Jobs, this self published book highlights much of what Jobs himself strove for - clear, crisp design, intuitive interface and user experience coupled with high quality, clear content." - Digital Book World "Most of the books I scanned, even the "Dummies" series, assumed a basic knowledge of computer programming even for iOS beginners. What I like about Kevin's writing is that he doesn't make any assumptions - he just takes you there - step by step." - Lorraine Akemann - Moms With Apps "Great for developers too! With this book, I finally understand the relationship between Xcode, Swift, Cocoa Framework, and the related Mac tips. If I don't get a concept, the video at the end of each chapter brings it all together. - Dan Neuman This first book in the series from Kevin McNeish, winner of the Publishing Innovation award, award-winning App Developer, highly acclaimed iOS trainer and conference speaker , is specifically designed to teach non-programmers how to create an App for the iPhone and iPad. Many books designed for the beginning Apple developer assume way too much. In contrast, this book series assumes you know nothing about programming. This first book is your "easy in" and builds confidence that you can write Apps for the iPhone and iPad. The entire book has been reviewed by people like you--with no experience in how to make an App. Diagrams were added and examples improved until all "beta readers" completely understood each key concept. Up to Date With the Latest Technologies The information in this book is up to date with the latest iOS technologies, including the iOS 9 and the latest version of Xcode . You will learn about storyboards, scenes, navigation, displaying lists of data, animating transitions between scenes, using maps, and much more. Includes Step-by-Step Instructional Videos! There are seven step-by-step instructional videos in which you watch the author create each part of the App. This is great for non-programmers who might need some extra help. About the Author Kevin McNeish is a featured writer and blogger for iPhoneLife magazine as well as author of the best-selling iOS App Development for Non-Programmers book series, winner of the prestigious Publishing Innovation Award . Kevin is creator of iOS apps including iElectionDay (awarded iPad App of the week) and is also Chief Software Architect of Oak Leaf Enterprises, Inc. He has a knack for explaining difficult concepts in a way that you can truly understand. Kevin is a well-known speaker and trainer throughout North America and abroad including conferences such appsworld, MobileConnections, DevConnections, MobileTeach as well as numerous Code Camps and software developer groups. Kevin's iPhoneLife blog: http://www.iphonelife.com/blog/kevin%20mcneish Follow Kevin on Twitter: @kjmcneish

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Cocoa and Objective-C: Up and Running - Scott Stevenson Cover Art

Cocoa and Objective-C: Up and Running

Cocoa and Objective-C: Up and Running by Scott Stevenson

Build solid applications for Mac OS X, iPhone, and iPod Touch, regardless of whether you have basic programming skills or years of programming experience. With this book, you'll learn how to use Apple's Cocoa framework and the Objective-C language through step-by-step tutorials, hands-on exercises, clear examples, and sound advice from a Cocoa expert. Cocoa and Objective-C: Up and Running offers just enough theory to ground you, then shows you how to use Apple's rapid development tools -- Xcode and Interface Builder -- to develop Cocoa applications, manage user interaction, create great UIs, and more. You'll quickly gain the experience you need to develop sophisticated Apple software, whether you're somewhat new to programming or just new to this platform. Get a quick hands-on tour of basic programming skills with the C languageLearn how to use Interface Builder to quickly design and prototype your application's user interfaceStart using Objective-C by creating objects and learning memory managementLearn about the Model-View-Controller (MVC) method of sharing data between objectsUnderstand the Foundation value classes, Cocoa's robust API for storing common data typesBecome familiar with Apple's graphics frameworks, and learn how to make custom views with AppKit.

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