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.

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.

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. 

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.

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.

This book demonstrates how to interact with the Raspberry Pi Compute Module 5, CM5. Harry Fairhead shows both the use of Linux drivers, the accepted way of accessing external devices, and via Gpio5, a new open source IoT library specifically for the Raspberry Pi 5 and CM5 that provides direct access to the CM5’s hardware, with functions for working with GPIO, PWM, I2C, SPI and more.

This book offers an interdisciplinary exploration into the rapidly evolving field of artificial intelligence and its societal implications. Written by leading scholars Soenke Ziesche and Roman V. Yampolskiy, the book delves into topics that address the rapid technological advancements in AI and the ethical dilemmas that arise as a result. The topics explored range from an in-depth look at AI welfare science and policy frameworks to the mathematical underpinnings of machine intelligence. 

This book is a comprehensive history of computer graphics in Hollywood cinema. As the first such work of its kind, it is an essential reference for anyone interested in the history of cinema, visual effects, or computer graphics, and the industries of which they are a part. 

This book discusses how to use modern software engineering practices for machine learning. Comprising a broad overview of how to design machine learning pipelines as well as the state-of-the-art tools we use to make them, Marco Scutari and Mauro Malvestio provide a multi-disciplinary view of how traditional software engineering can be adapted to and integrated with the workflows of domain experts and probabilistic models.

This book shows how to use a proven framework for developing practical agents that handle real-world business and personal tasks. Micheal Lanham shows how to use prompt engineering to create agents with distinct personas and profiles, and develop multi-agent collaborations that thrive in unpredictable environments.

At the ripe age of three, Mike Drucker got his very first Nintendo console—the Nintendo Entertainment System—and he was hooked. Every video game felt like a new chapter was opening in his life, expanding his world for the better and—sometimes—for worse. Final Fantasy VII, for example, helped him navigate the pitfalls of an early crush. And Dance Dance Revolution taught him how to almost, kinda move his body appropriately to music.

This book offers a structured approach to understanding database fundamentals, SQL programming, and data modeling best practices. James M. Reneau bridges the gap between theory and practical application by covering fundamental topics such as data modeling, normalization, and entity-relationship diagrams, all while introducing real-world database management principles. He includes step-by-step instructions on how to use MySQL, MariaDB, SQLite, and Microsoft SQL Server.