Written for programmers with a background in another high-level language, in this book Harvey Deitel teaches modern Java development hands on using the latest Java idioms and features and genAIs. In the context of 200+ real-world code examples, readers begin with Java fundamentals then move on to arrays, strings, regular expressions, JSON/CSV processing with the Jackson library.

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This book covers the essential mathematics that will take you from basic coding to serious software development. Ronald T. Kneusel shows how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms.

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This book asks the question "Can you trust results from modeling and simulation?" and provides a framework for assessing the reliability of and uncertainty included in the results used by decision makers and policy makers in industry and government. The emphasis is on models described by PDEs and their numerical solution. William L. Oberkampf and Christopher J. Roy consider procedures and results from all aspects of verification and validation, integrated with modern methods in uncertainty quantification and stochastic simulation.

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Web browsers are the most common and widely-used platform  for code to run on. In this book Pavel Panchekha and Chris Harrelson describe how they work and how that impacts web developers and other software engineers whose work touches the web. The authors build their own web browser, including rich visual effects, multithreaded architecture, JavaScript APIs, and comprehensive security policies, and explore the challenges, interesting algorithms, and clever optimizations this entails.

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This book, written for developers comfortable with another programming language, concisely covers programming basics, while introducing Python's comprehensive standard library and unique features in depth and detail. In this fourth edition, Naomi Ceder has added new coverage of AI coding tools like Copilot and Google's Colaboratory (Colab), new interactive notebooks, quick-check questions, and end-of-chapter labs.

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Subtitled "A Playful Introduction to Algorithms through Puzzles and Strategy Games", in this book Elliot Lichtman explores computer science concepts by exploring them through word games, board games, and strategy games.  Learn recursion by playing tic-tac-toe, efficient search through puzzle games like sudoku and Wordle, and machine learning by way of the playground classic rock-paper-scissors.

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This recipe-based guide looks at using ASP.NET Core 9 for building modern web APIs that are both scalable and secure. Luke Avedon and Garry Cabrera demonstrate how to build, optimize, and secure APIs using this cutting-edge technology. Recipes include creating RESTful APIs, implementing advanced data access strategies, securing APIs, creating custom middleware, and enhancing logging capabilities.

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This book teaches SQL in just 24 fun and friendly lessons. Jeff Iannucci emphasizes practical uses for the language in the real-world, so you’ll just learn the most useful skills for business data analysis. Readers will learn how to write their own queries, modify existing SQL statements, and work with data like a pro.

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This book is a guide to creating robust, fault-tolerant cloud systems.  Mariya Breyter and Carlos Rojas provide actionable strategies and expert insights for designing, building, and maintaining cloud infrastructure. The book is aimed at software engineers, DevOps professionals, and business/engineering leaders, and provides tools and knowledge to create highly available, fault-tolerant cloud systems.

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In this book Darryl Campbell argues that a lot of software has exposed us to immense risk at the societal and the individual levels. He blames “managerial software”: programs created and overseen not by engineers but by professional managers with only the most superficial knowledge of technology itself. Campbell shows how managerial software fails, and when it does what sorts of disastrous consequences ensue, from the Boeing 737 MAX crashes to a deadly self-driving car to PowerPoint propaganda, and beyond. Yet just because the tech industry is currently breaking its core promise does not mean the industry cannot change.  Campbell argues that the solution is tech workers with actual expertise establishing industry-wide principles of ethics and safety that corporations would be forced to follow. 

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With the subtitle "Infrastructure as Code with Terraform and OpenTofu" this book looks at Terraform and its open-source fork OpenTofu’s approach for infrastructure management. Robert Hafner considers its premise: to be able to provision, update, scale, and replicate infrastructure with the same ease as application code. The book covers the latest versions, standards, and approaches of Terraform and OpenTofu, from absolute basics all the way to advanced production uses. Every technique is illustrated with real-world examples.

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In this book, Pulitzer Prize-winning journalist Gary Rivlin looks into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment. The people he follows include LinkedIn founder Reid Hoffman, the investor the Wall Street Journal once called, “the most connected person in Silicon Valley.” Through Hoffman, Rivlin is granted access to a number of companies on the cutting-edge of AI research, including OpenAI during their work on ChatGPT, and DeepMind, the AI startup that Google bought for $650  million in 2014. Rivlin also brings readers inside Microsoft, Meta, Google and other tech giants scrambling to keep pace.

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