This comprehensive self-study guide clearly explains what you need to know—and gets you fully prepared—for the RHCSA and RHCE certification exams.

This practical book shows C# programmers how to use functional programming features without having to navigate an entirely new language. Because of the shared runtime environment common to C# and F# languages, it's possible to use most of F#'s functional features in C# as well.

Technology, Users and Uses explores and discusses ethical issues around the use of technology and AI, by focusing on the way they affect individual, social and global interactions. The collection addresses topics including social networks, public opinion, fake news and information warfare; digitalisation and datafication of society and individuals; and transhumanism, super-intelligent machines and the technological singularity.

This easy-to-read guide helps you cultivate good development practices based on classic software design patterns and new patterns unique to embedded programming.

Jennifer Pahlka shows why we must stop trying to move the government we have today onto new technology and instead consider what it would mean to truly recode American government.

With Kurzweil’s signature humanity and humor, in boundary-pushing, gorgeous handmade drawings, Artificial guides us through nuanced questions about art, memory, and technology, demonstrating that love, a process of focused attention, is what grounds a meaningful life.

A collection of 21 pragmatic rules, each presented in a standalone chapter, captures the essential wisdom that every freshly minted programmer needs to know and provides thought-provoking insights for more seasoned programmers.

Get a better understanding of how quantum computing is revolutionizing networking, data management, cryptography, and artificial intelligence in ways that would have previously been unthinkable.

This demystifies the explosion of artificial intelligence by explaining what happened, when it happened, why it happened, how it happened, and what AI is actually doing "under the hood."

In this practical and relevant book, Brown uses his experience as a proven science communicator to cover three levels of writing: fundamental craft considerations, such as narrative tension, structure, sentences, and audience; unique scientific considerations, such as conveying numbers and utilizing metaphors; and finally, social considerations, such as public speaking and writing inside and outside of silos.

An introduction to the Python programming language and its most popular tools for scientists, engineers, students, and anyone who wants to use Python for research, simulations, and collaboration.

Using real life examples in JavaScript, PHP, Java, Python, and many other programming languages, this cookbook provides proven recipes to help you scale and maintain large systems.

Person, Thing, Robot not only addresses the issues that are relevant to students, teachers, and researchers working in the fields of moral philosophy, philosophy of technology, science and technology studies (STS), and AI/robot law and policy but it also speaks to controversies that are important to AI researchers, robotics engineers, and computer scientists concerned with the social consequences of their work.

Real-world code examples and test cases throughout will elevate your programming with C# and show you how best to implement the principles you’re learning.

The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy.

An introduction to the Python programming language for library and information professionals with little or no prior experience.

Through fun, compelling, and realistic examples, authors Marc Loy, Patrick Niemeyer, and Dan Leuck introduce you to Java's fundamentals, including its class libraries, programming techniques, and idioms, with an eye toward building real applications.

This contains real use cases where organizations have reduced incidents by employing predictive analytics to foresee and mitigate future risks. It discusses how Predictive Safety Analytics is an opportunity to break through the plateau problem where safety rate improvements have stagnated in many organizations.

This beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond.

With this practical book, open-source author, trainer, and DevOps director Brent Laster explains everything you need to know about using and getting value from GitHub Actions.

With humor and teacherly guidance, Code to Joy brings into view a future where programming is like reading—something everyone can learn.