Books

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, debugging, crash dump analysis, memory forensics, software trace and log analysis written in June 2014 - November 2014.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, debugging, crash dump analysis, software trace and log analysis, malware analysis and memory forensics written in November 2011 - May 2014.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about memory dump analysis, software trace and log analysis, software troubleshooting, and debugging written in November 2010 - October 2011.

This book will help you explore the foundations of Python programming and learn how Python can be used to achieve results.

With interactive exercises, practical examples, and hands-on demos, the book encourages active learning and empowers young coders to apply their knowledge in real-world scenarios, reinforcing their understanding of GitHub.

Efficient Algorithm Design provides a deep dive into advanced algorithm topics, combining theory with practical applications. Ideal for software engineers, data scientists, and computer science students looking to enhance their algorithmic skills.

"How Does Computer Science Work?" answers 28 key questions every software engineer should know, unraveling the technologies that shape our digital world. From how browsers work and cryptography secures data to AI, Web3, and quantum computing, this book bridges curiosity and understanding. Perfect for students, self-taught programmers, and seasoned developers, it’s your ultimate guide to mastering foundational concepts and cutting-edge innovations in computer science.

Unlock the power of YAML with this comprehensive guide! Whether you're just starting or looking to enhance your skills, From Zero to YAML offers step-by-step instructions, practical examples, and real-world applications to help you master this essential tool for DevOps, cloud infrastructure, and configuration management. Learn how to write, structure, and manipulate YAML files with ease, and apply it to modern technologies like Docker, Kubernetes, AWS, and more. Ready to streamline your workflows and optimize your configurations? Dive into the world of YAML and transform the way you work with data!

This book is your complete guide to seamless ML operations on OpenShift. You’ll master MLOps concepts, explore OpenShift Data Science, Pachyderm, and Intel OpenVino, along with the provision, configuration, and operationalization of the MLOps platform.

Learn how to integrate cutting-edge AI technology into business operations and tap into AI services within Power Platform to enable automation and develop apps and chatbots to achieve heightened productivity and efficiency.

Designed for JavaScript developers, this handbook dives into the practical implementation of advanced data structures such as B-Trees, Tries, and probabilistic models like Bloom Filters. Focused on real-world challenges, it explains how to handle large datasets, optimize caching, and implement efficient searches. With clear examples and technical depth, this book offers a realistic approach to applying advanced concepts in scalable and reliable systems.

"The Void in Agile" uncovers the hidden challenges that often derail Agile practices. Packed with actionable insights, it reveals how to overcome pitfalls like velocity traps, bloated backlogs, and technical debt, empowering teams to focus on what truly matters—delivering value to customers. If you're ready to make Agile work more effectively, this book is for you!

This book provides step-by-step tutorials and hands-on examples for effectively implementing GitOps practices in your Kubernetes deployments. You’ll learn how to automate, monitor, and secure your infrastructure for efficient application delivery.

This comprehensive guide equips you with Git and GitHub mastery, advanced DevOps workflows, and hands-on experience in code, automation, and AI integration. It will help you revolutionize your development practices and unlock peak team performance.

This guide unveils strategies to cultivate enduring customer relationships. Grounded in effective communication and problem-solving, it shows you how to harness cross-functional collaboration for competitive advantage.