Software Development

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points.

When Derek Yu released Spelunky for free in 2008, his roguelike-inspired platformer took the indie game community by storm with its combination of classic platform mechanics, extreme difficulty, and random level generation. Four years later, Spelunky's HD remake went on to become PC Gamer's Game of the Year and earn perfect scores from Polygon and Eurogamer. But how is a "perfect" game made?

There aren’t many computer games that can justify an entire book, but for superfans, Alien: Isolation is truly extraordinary and Perfect Organism reveals all there is to know about every aspect of this masterful game. Discover the rationale and authenticity of the set design and art direction, learn about the alien’s unnerving abilities to second-guess the players and the importance of its unique height, find out more about the importance of the dynamic audio and the use of seventies archive soundbites, as well as the darkly beautiful music.

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.