In this book, subtitled "A testing guide for the 2020s", Matthew Heusser and Michael Larsen cover a wide range of topics in the field of software testing, providing practical insights and strategies for professionals at every level. With equal emphasis on theoretical knowledge and practical application, this book is a valuable resource for programmers, testers, and anyone involved in software development.
<ASIN:1837638020>
Authors: Matthew Heusser and Michael Larsen Publisher: Packt Date: December 2023 Pages: 378 ISBN: 978-183768024 Print: 1837638020 Kindle:B0CLLDMJW9 Audience: Programmers, testers, and DevOps specialists Level: Intermediate
- Explore accessibility, functional testing, performance testing, and more as an integral part of testing
- Find out how to implement a wide range of testing approaches
- Develop the skills needed to create effective testing strategies tailored to your project's needs
- Discover how to prioritize and execute the most impactful test ideas
- Gain insight into when and how to apply different testing elements
- Defend your chosen testing strategy with a comprehensive understanding of its components
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Machine Learning For Dummies, 2e (Wiley)
Author: John Paul Mueller Publisher: For Dummies Date: January 2021 Pages: 464 ISBN: 978-1119724018 Print: 1119724015 Kindle: B08SZHJGJW Audience: General, but not too dumb Rating: 4 Reviewer: Mike James Dummies probably need machine learning to cope...
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Data Structures & Algorithms in Python
Author: Dr. John Canning, Alan Broder and Robert Lafore Publisher: Addison-Wesley Date: October 2022 Pages: 928 ISBN:978-0134855684 Print: 013485568X Kindle: B0B1WJF1K9 Audience: Python developers Rating: 4 Reviewer: Mike James Data structures in Python - a good idea!
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