Subtitled "Doing History in the Digital Age", this book offers an original methodological framework for approaching the web of the past, both as a source and as an object of study in its own right. Niels Brügger approaches the archived web as a semiotic, textual system in order to offer the first book-length treatment of its scholarly use.

<ASIN:0262549719 >

In this book, subtitled "For Web Scraping, Test Engineering, Data Mining, and Automation", Michael Schrenk shows how to develop bots with Selenium Python. He argues that there isn't a website that you can't scrape, control, or automate with Selenium Python. The book includes ten bot projects that explore specific aspects of Selenium Python. It also sets out techniques for bot architectures, handling big data, how Webdriver works, and fault tolerance.

<ASIN:B0CMJXS46V >

This book shows how to build fast and secure microservices with the gRPC high-performance messaging protocol and Go language. Hüseyin Babal shows how to utilize these tools to build production-grade microservices. The book also shows how to design backward compatible APIs and apply hexagonal architecture to microservices.

<ASIN:1633439208>

This book, subtitled "17 Experts Share How to Self-Assess and Prepare for the Worst" sets out the case that you will get hacked. Through real-life stories of cyberattacks, data breaches, and digital threats, Chris Wiser and a group of IT and security experts expose the dangers and high costs of inadequate cybersecurity to show how businesses just like yours suffered catastrophic losses from ransomware, phishing, wire fraud, and more.

<ASIN:1990830412>

Written by machine-learning researchers and members of the Android Security team, this guide subtitled "Detection and Analysis by Human and Machine" tackles discovering and understanding the malware that targets the Android operating system. Qian Han et al provide a comprehensive introduction to detecting common threats facing the Android ecosystem today.

<ASIN:171850330X>

This book looks at how to work with graphics processing units (GPUs). Tom Deakin and Timothy Mattson show how to use OpenMP to program a GPU using just a few directives and runtime functions. The authors share best practices for writing performance portable programs, and look at how to go further to maximize performance by using CPUs and GPUs in parallel.

<ASIN:0262547538 >

In this book, with the subtitle "An Entrepreneur's Journey from Idea to Exit",  serial entrepreneur Martin Warner takes a fledgling company all the way from zero to hero, selling it for $50 million after a mere 17 months.

<ASIN:1510778780 >

With the subtitle "Using Data Science to Transform Information into Insight", this book is a field guide to building statistics, machine learning, and powerful artificial intelligence concepts inside the  spreadsheet. In this updated edition, author Jordan Goldmeier shows how to implement data science problems using Excel while exposing how things work behind the scenes.

<ASIN:111993138X >

This book looks at C#'s type system, the foundation upon which all C# programs are built. Steve Love shows how to define and implement value types effectively, and write more performant and robust code. Real-world code examples and test cases throughout are designed to improve your programming with C# and show how best to implement the principles you’re learning.

<ASIN: 1718501587>

This full-color guide will help you start creating cloud-based apps and games fast, even if you've never done it before. Rob Miles has revamped the tutorial for beginners providing challenges from debugging to step-by-step Make Something Happen exercises replicated as YouTube videos linked directly from the book.

<ASIN: 0138065403>

This book will teach you all you need to know to be immediately productive with MySQL 8. Ben Forta provides 30 highly focused hands-on lessons.

<ASIN:0138223025>

This book is a comprehensive introduction to the language, making it accessible even if you’re new to programming. Lee Phillips dives in with a thorough guide to Julia’s syntax, data types, and best practices, then moves on to craft solutions for challenges in physics, statistics, biology, mathematics, and scientific machine learning. Whether you’re solving computational problems, visualizing data, writing simulations, or developing specialized tools, this book will show you how.

<ASIN:1718502761 >