Software

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, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in December 2019 - July 2020.

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, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in December 2018 - November 2019.

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, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in June 2017 - November 2018.

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, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in October 2016 - May 2017.

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, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in March - September 2016.

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, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in August 2015 - February 2016.

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 December 2014 - July 2015.

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.

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.