Computer Engineering

In this comprehensive guide, authors Kelly Shortridge and Aaron Rinehart help you navigate the challenges of sustaining resilience in complex software systems by using the principles and practices of security chaos engineering. By preparing for adverse events, you can ensure they don't disrupt your ability to innovate, move quickly, and achieve your engineering and business goals.

The world has never been so unstable. Now, more than ever, we need to understand our history, learn from our mistakes, and embrace science and technology as we push into the future. In his debut book, New Thinking: The Technology and Science That Transformed Our World, Dagogo Altraide of YouTube's ColdFusion breaks down the history of gamechanger breakthroughs in the world of science and technology that have shaped our modern world and will impact the future.

Operations Anti-Patterns, DevOps Solutions shows how to implement DevOps techniques in the kind of imperfect environments most developers work in. Part technology tutorial, part reference manual, and part psychology handbook, this practical guide shows you realistic ways to bring DevOps to your team when you don't have the flexibility to make sweeping changes in organizational structure.

Success isn’t a clear road for software developers. There’s too much information, and it can feel overwhelming. Many developers get stuck and have no idea what to do next. Soft Skills aims to solve this. To give you a clear path with actionable steps for your career (and life). So you can get back to what you enjoy doing...solving unique puzzles and fun problems.

An insider look at the Large Language Models (LLMs) that are revolutionizing our relationship to technology, exploring their surprising history, what they can and should do for us today, and where they will go in the future—from an AI pioneer and neuroscientist In this accessible, up-to-date...

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

Humanity's first reusable spacecraft and the most complex machine ever built, NASA's space shuttle debuted with great promise and as a dependable source of wonder and national pride. But with the Challenger catastrophe in 1986, the whole space shuttle program came into question, as did NASA itself, so long an institution that was seemingly above reproach. Wheels Stop tells the stirring story of how, after the Challenger disaster, the space shuttle not only recovered but went on to perform its greatest missions.

As Nazi Germany launched its campaign of racial terror and pushed the world toward war, three misfits banded together to challenge Hitler’s dominance at the apex of motorsport: the Grand Prix. Their quest for redemption culminated in a remarkable race that is still talked about in racing circles to this day - but which, soon after it ended, Hitler attempted to completely erase from history.

Most companies developing software employ something they call "Agile." But there's widespread misunderstanding of what Agile is and how to use it. If you want to improve your software development team's agility, this comprehensive guidebook's clear, concrete, and detailed guidance explains what to do and why, and when to make trade-offs.

Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more.

To ensure that applications are reliable and always available, more businesses today are moving applications to AWS. But many companies still struggle to design and build these cloud applications effectively. With this practical guide, software, DevOps, and cloud engineers will learn how to implement resilient designs and configurations in the cloud using hands-on independent labs.

Paul Scharre, a Pentagon defense expert and former U.S. Army Ranger, explores what it would mean to give machines authority over the ultimate decision of life or death. Scharre's far-ranging investigation examines the emergence of autonomous weapons, the movement to ban them, and the legal and ethical issues surrounding their use. Through interviews with defense experts, ethicists, psychologists, and activists, Scharre surveys what challenges might face "centaur warfighters" on future battlefields.

Are you grappling with the complexities of the NIST 800 Framework? Eager to amplify your risk management framework expertise with AI? Or maybe you're ready to dive into the cutting-edge field of AI-powered cybersecurity? Look no further–this is the ultimate guide to kickstart your journey.

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.

Do you know that there's a lot more to Excel, but have no idea what to learn? This audiobook could be the answer you're looking for. You'll learn: Introduction to Advanced Excel, Optimization using the Solver Function, Sensitivity Analysis, and much more.

Instead of jumping right into the instructions, this book will provide you first with all the necessary concepts that you need to learn in order to make the learning process a whole lot easier. This way, you're sure not to get lost in confusion once you get to the more complex lessons provided in the latter chapters. Examples are provided for a more knowledgeable approach on your learning.

From facial recognition—capable of checking us onto flights or identifying undocumented residents—to automated decision systems that inform everything from who gets loans to who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn't just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to the development of Google search.

This book is for engineering leaders and experienced developers who want to build serious software with AI—and actually unlock the leverage it offers. It introduces a clear, step-by-step workflow that makes this approach reliable, repeatable, and scalable. You’ll learn a practical, disciplined approach to building applications—not with AI as a co-pilot, but as the primary developer.

Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey, this book presents ninety-seven concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data.

For a beginner, programming can seem like something scary or hard to do. With all the technical terms and concepts out there, as well as the numerous programming languages available at your disposal, it is so important - now more than ever before - to build a strong foundation. When you understand the fundamentals of programming, learning any programming language is a piece of cake. In addition, programming is not just all about coding; it is also about knowing how to plan your work, how to set deadlines, how to communicate with team members, how to use existing components, etc.