This book is part of a set of Something Completely Different books that look at what makes Python special and sets it apart from other programming languages. Mike James looks at how Python treats data in a distinctly Pythonic way, providing data objects that are very usable and very extensible. From the unlimited precision integers, referred to as bignums, through the choice of a list to play the role of the array, to the availability of the dictionary as a built-in data type, Python never fails to please and this book is what you need to help you make the most of these special features.

<ASIN:‎ 1871962595>

This book shows how to write practical, reusable Java code with straightforward tutorials and tips. In this 8th edition, Dr. Barry Burd covers the latest developments in Java, including the new ‘switch’ statement syntax. The book has easy-to-understand explanations that make learning easy, for beginners and experienced coders alike.

<ASIN:1119861640>

This book, subtitled 101 Illustrated References for Cloud Engineers and Architects, is a fully illustrated, visual guide to matching the best Google Cloud Platform services to your own unique uses. After a brief introduction to the major categories of cloud services offered by Google, Priyanka Vergadia offers approximately 100 solutions divided into eight categories of services included in Google Cloud Platform

<ASIN:1119816327>

This book reveals a systemic and effective approach to software testing aimed at making the entire development process more efficient. .Dr. Maurício Aniche looks at how to customize your testing coverage and catch bugs in tricky corner cases. The book shows techniques drawn from proven research in software engineering, and each chapter puts a new technique into practice. The real-world cases and detailed code samples show how to enginee tests that find bugs in edge cases and parts of code normally untested.

<ASIN:1633439933>

This is a Python-specific design patterns guide that's friendly and practical, and aimed at every Python developer, regardless of experience. James W. Cooper presents visual, example-driven explanations of 23 proven patterns for writing object-oriented code. Through clear and intuitive code samples, he introduces modern techniques for creating Python objects that interact effectively in powerful, flexible programs. Python newcomers, including those moving from other languages, will find a succinct introduction designed to get them up to speed fast.

<ASIN:0137579934>

This down-to-earth guide shows how to secure your own data (and your company’s, too). Joseph Steinberg provides step-by-step guidance on how to implement reasonable security measures, prevent cyber attacks, deal securely with remote work, and what to do in the event that your information is compromised. In this updated edition, you get the latest facts about what happens to the stuff you put online. Work from home securely and avoid misinformation. Make sure your photos, passwords, and other important stuff are safe from hackers.

<ASIN:1119867185>

This book teaches C++ in manageable chunks with Mike Murach’s distinctive “paired-pages” format. where each topic is presented in a 2-page spread. You get clear syntax and coding examples along with easy-to-understand bullets on the righthand page and in-depth explanations and perspective on the left.

<ASIN:‎ 1943872961>

Part of the Pearson Digital Enterprise Series from Thomas Erl, in this book on digital transformation, Thomas Erl and Roger Stoffers combine to provide coverage of essential digital transformation concepts, practices, and technologies in the format of a plain-English tutorial written for IT professionals, students, or decision-makers. With more than 160 diagrams, this guide provides a highly visual exploration of what digital transformation is, how it works, and the techniques and technologies required to successfully build modern-day digital transformation solutions

<ASIN:0137571844>

Subtitled Disciplines, Standards, and Ethics, in this book Robert C. Martin, aka Uncle Bob, has written the principles that define the profession, and the craft, of software development. The book looks at the disciplines, standards, and ethics you need to deliver robust, effective code. This is a pragmatic, technical, and prescriptive guide to the foundational disciplines of software craftsmanship that discusses standards, showing how the world's expectations of developers often differ from their own and helping you bring the two in sync.

<ASIN:‎ 013691571X>

This book claims to combine rigor and comprehensiveness. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein cover a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. This comprehensive update has new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.

<ASIN:026204630X>

This book provides a highly-illustrated introduction to deep learning that offers visual and conceptual explanations instead of equations. Andrew Glassner shows how to use key deep learning algorithms without the need for complex math. For readers ready to write their own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository.

<ASIN:1718500726>

This book shows how to go about creating your own home control system that can be accessed through a cell phone or a web page on your home computer. ? George Babec's real world examples show how to go about it. 

<ASIN:0997022272>