With the subtitle "Building Quality Into Software" Alexander Tarlinder offers insights that help you accelerate through the typical software assurance learning curve so you can write testable code leading to build high-quality software, focusing on technology-agnostic approaches you can keep using with any new language, platform, or toolset. Along the way, he answers many questions development teams often ask about testing.
<ASIN:0134291069>
- What makes code testable? What makes it hard to test?
- When have I done enough testing on a piece of code?
- How many unit tests do I need to write?
- Exactly what should my test verify?
- How do I transform monolithic legacy code into manageable pieces I can test?
- What's the best way to structure my tests?
Author: Alexander Tarlinder Publisher: Addison Wesley Date: September 2016 Pages: 336 ISBN: 978-0134291062 Print: 0134291069 KIndle: B01LHSV9ZI Audience: Software Developers Level: Advanced Category: Theory & Techniques
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Foundational Python For Data Science
Author: Kennedy Behrman Publisher: Pearson Pages:256 ISBN: 978-0136624356 Print: 0136624359 Kindle: B095Y6G2QV Audience: Data scientists Rating: 4.5 Reviewer: Kay Ewbank
This book sets out to be a simple introduction to Python, specifically how to use it to work with data.
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The Joy of JavaScript (Manning)
Author: Luis Atencio Publisher: Manning Date: March 2021 Pages: 360 ISBN: 978-1617295867 Print: 1617295868 Audience: JavaScript developers Rating: 4 Reviewer: Ian Elliot Joy you say!
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