Overview
- Translates best practices of programming to Python programmers
- Conveys practical coding from debugging, testing, and maintenance perspectives
- The techniques in this book allow you to solve problems from web development to big data and more
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Table of contents (17 chapters)
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Automated Testing
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Maintenance
Keywords
About this book
Learn software engineering and coding best practices to write Python code right and error free. In this book you’ll see how to properly debug, organize, test, and maintain your code, all of which leads to better, more efficient coding.
Software engineering is difficult. Programs of any substantial length are inherently prone to errors of all kinds. The development cycle is full of traps unknown to the apprentice developer. Yet, in Python textbooks little attention is paid to this aspect of getting your code to run. At most, there is a chapter on debugging or unit testing in your average basic Python book. However, the proportion of time spent on getting your code to run is much higher in the real world. Pro Python Best Practices aims to solve this problem.
What You'll Learn
- Learn common debugging techniques that help you find and eliminate errors
- Gain techniques to detect bugs more easily
Who This Book Is For
Experienced Python coders from web development, big data, and more.
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Bibliographic Information
Book Title: Pro Python Best Practices
Book Subtitle: Debugging, Testing and Maintenance
Authors: Kristian Rother
DOI: https://doi.org/10.1007/978-1-4842-2241-6
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Kristian Rother 2017
Softcover ISBN: 978-1-4842-2240-9Published: 17 March 2017
eBook ISBN: 978-1-4842-2241-6Published: 15 March 2017
Edition Number: 1
Number of Pages: XXVII, 264
Number of Illustrations: 44 b/w illustrations, 19 illustrations in colour
Topics: Python, Programming Techniques, Programming Languages, Compilers, Interpreters