This book, the latest edition of a book that has established itself as the definitive references for successive versions of Ada,  covers the full details of the core language Ada 2022 as approved by ISO in 2023, including new features that aid program proof and the efficient use of multicore architectures. John Barnes a founder member of the Ada design team, begins with the key ideas to the newcomer. The algorithmic features, structural features such as OOP and multitasking, and details of the standard library and interaction with the external environment are all covered in subsequent parts. 

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Exhorting "Use R!" on the cover, this book is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. Maria Rizzo and Jim Albert present R functions in the context of interesting applications with real data. The book is aimed at users who have at least the equivalent of  undergraduate level calculus-based courses in statistics. The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods.

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Written by one of the foremost experts in high-performance computing and the inventor of Gustafson’s law, this book explains the foundations of a new way for computers to calculate that saves time, storage, energy, and power by packing more information into every bit than do legacy approaches. Both the AI and HPC communities are increasingly using the posit approach that Prof. John L. Gustafson introduced in 2017. The book is made engaging by including the human and historical side of the struggle to represent numbers on machines. It is richly illustrated in full color throughout, with every effort made to make the material as clear and accessible as possible, and even humorous.

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This book from the makers of HackSpace, now part of The MagPi magazine, is filled with all the best projects, tutorials, and articles from the magazine for makers and hackers. The authors say the book distils the essence of HackSpace down to their favourite maker projects. Whether you want to build a rocket or hot air balloon, learn 3D-printed mechanical engineering, or control the world around you with a Raspberry Pi Pico, there’s something for you here. This book is full of projects perfect for an hour, afternoon, or weekend.

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This book shows how to improve Python programming with 125 actionable best practices to write more efficient, readable, and maintainable code. Drawing on years of experience at Google, Brett Slatkin offers clear, concise, and practical advice for both new and experienced Python developers. This updated edition expands from 90 to 125 best practices that are essential for writing high-quality Python code.

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This book is a deeply reported business history of the chip-designer Nvidia, from its founding in 1993 to its recent emergence as one of the most valuable corporations in the world, explaining how the company’s culture, overseen by cofounder and CEO Jensen Huang, has powered its incredible success. Author Tae Kim draws on more than one hundred interviews, including Jensen and his cofounders, the two original venture capital investors, early former employees, and current senior executives to show how Nvidia played the longest of long games, repeatedly creating new markets and outmaneuvering competitors, including the original semiconductor giant, Intel, which now finds itself well behind the upstart. 

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This is a guide to creative projects, from crafting one-of-a-kind holiday gifts to designing heartwarming home decor. Sarah Browne sets out to make AI accessible and fun for everyone — especially women. Whether you love tech, are curious about AI, or just want fresh holiday ideas, these projects bring a modern twist to classic festivities. The book has easy, step-by-step guidance — from prompts to specific apps to holiday hacks — that turn AI into your personal Santa's helper.

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According to The Guinness Book of World Records, the Commodore 64 (C64) is officially the best-selling desktop computer model of all time. but is strangely overlooked in many computer histories. In this book Jesper Juul argues that the C64 was so popular because it was so versatile, a machine developers and users would reinvent again and again over the course of 40 years.

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This book reveals what you can do with the ESP32's GPIO lines together with widely used sensors, servos and motors and ADCs. After covering the GPIO, outputs and inputs, events and interrupts, Harry Fairhead gives you hands-on experience of PWM (Pulse Width Modulation), the SPI bus, the I2C bus and the 1-Wire bus, the UARTs and, of course, WiFi. To round out, Harry covers direct access to the hardware, adding an SD Card reader, sleep states to save power, the RTC, RMT and touch sensors. He also devotes a chapter to FreeRTOS which takes us into the realm of asynchronous processing.

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This book guides the reader, as if looking over the shoulder of an expert, through situations that are likely to arise in data analysis projects. Will Ayd and Matt Harrison cover topics ranging from fundamental data manipulation tasks to advanced techniques for handling big data, and visualization. This latest edition covers pandas 2.x onwards. Whether you're a beginner or an experienced data analyst, this book offers a wealth of practical recipes to help you excel in your data analysis projects.

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This book dives deep into the world of programming, exploring the lives of the groundbreaking pioneers who built the foundation of modern computing. From Charles Babbage and Ada Lovelace to Alan Turing, Grace Hopper, and Dennis Ritchie, Robert C. Martin (Uncle Bob) shines a light on the figures whose brilliance and perseverance changed the world. The book provides a rich human history filled with technical insights for developers, examining the coding breakthroughs that shaped computing at the bit and byte level.

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This book offers a refreshing approach to complex concepts by blending humor, imaginative examples, and practical Python implementations to reveal the power and versatility of graph based problem-solving in the real world. Through clear diagrams, engaging examples, and Python code, Jeremy Kubica builds a solid foundation for addressing graph problems in your own projects.

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