Found 668 books
Get started with MicroPython on Raspberry Pi Pico, 2nd Edition

Fully updated for Raspberry Pi Pico 2 and 2 W, this book gets you started with Raspberry Pi Pico - whether you're using Raspberry Pi Pico for a home project, industrial automation, or learning (or teaching!) electronics and programming. Microcontrollers, like the RP2350 chip at the heart of Raspberry Pi Pico 2, are computers stripped back to their bare essentials. You don't use monitors

Accelerating Data Pipeline Development

Today's data engineering teams are overwhelmed - juggling fire drills and endless requests while relying on manual, repetitive processes for building data pipelines. This much-needed tech guide from author Josh Hall introduces a practical approach to streamlining pipeline development, empowering teams to work smarter, not harder. Using Coalesce, a modern development platform, you'll lear

Introducing MLOps

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scienti

The Crystal Ball Instruction Manual, Volume 1

Stephen Davies notes that if this marks the reader's first exposure to data science, they occupy an enviable position, with all the "cool stuff" still ahead of them. He expresses a sense of jealousy but also excitement to explore the field again with the reader. The text states that this field has changed the world on an incredibly short time scale. Davies observes that just decades ago,

The Crystal Ball Instruction Manual, Volume 2

This book, The Crystal Ball Instruction Manual: Volume Two, Foundations for Data Science, continues the series. The author, Stephen Davies, explains that the first volume was titled "Introduction to Data Science" because it provided an initial, broad tour of the field. He notes that the reader's continued interest indicates a readiness to explore the next level. In Foundations, the text

OpenJDK Migration For Dummies

Modern business runs on Java. It's the programming language of choice for large-scale applications, whether they're running in the cloud or in a private data center. Despite being nearly 30 years old, Java remains one of the most widely used programming languages in the world thanks to its versatility, reliability, and stability. Java is also far more pervasive than meets the eye. The Ja

802.11ax For Dummies

802.11ax is the next fast-approaching Institute of Electrical and Electronics Engineers (IEEE) standard that addresses today's biggest Wi-Fi challenges: high density and performance. It addresses those challenges by increasing capacity by up to four times and improving spectral efficiency to benefit both 2.4 gigahertz (GHz) and 5 GHz bands in a variety of environments. 802.11ax will hand

ChatOps

Increase efficiency with ChatOps, an approach that helps IT teams collaborate and perform daily actions from a unique, turbocharged chatroom. With this 75-page report, you'll learn how your team can query information, work together on solutions, enter commands with bots and scripts, and comment on the work - all in one place and in real time. Author Jason Hand takes you through key ChatO

Beyond the Twelve-Factor App

In 2012, early cloud pioneer Heroku developed the Twelve Factor App, a set of rules and guidelines for helping organizations build cloud-native applications. It served as an excellent starting point, but as technology inevitably marched forward, some areas needed revisiting. To accommodate current best practices, this practical book expands on the original guidelines to help you build ap

Algorithmic Aspects of Machine Learning

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the fiel