Pro Python Best Practices
Debugging, Testing and Maintenance
Published on 15. March 2017
XXVII, 264 pages
978-1-4842-2241-6 (ISBN)
Description
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 LearnLearn common debugging techniques that help you find and eliminate errorsGain techniques to detect bugs more easilyWho This Book Is ForExperienced Python coders from web development, big data, and more.
Reviews / Votes
"As your Python programs grow, so do your problems: debugging gets harder; the need for well-written tests becomes more urgent; and maintenance issues intrude; bringing the need for a better approach to version control, code organisation, and documentation. Pro Python Best Practices is a neat exploration of all of these topics, which starts by making the case for best practices. . Essential material." (The MagPi, Issue 59, July, 2017)More details
Series
Edition
1st ed.
Language
English
Place of publication
Berkeley
United States
Publishing group
APRESS
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XXVII, 264 p. 63 illus., 19 illus. in color.
File size
5,52 MB
ISBN-13
978-1-4842-2241-6 (9781484222416)
DOI
10.1007/978-1-4842-2241-6
Schweitzer Classification
Other editions
Additional editions
Book
03/2017
APress
€29.95
Shipment within 15-20 days
Person
Kristian Rother is a freelance Python developer and trainer with over 30 years of experience.
Content
1. Introduction: Why Do We Need Best Practices?.- 2. Exceptions in Python.- 3. Semantic Errors in Python.- 4. Debugging with the Scientific Method.- 5. Debugging with print Statements.- 6. Debugging with Introspection Functions.- 7. Using an Interactive Debugger.- 8. Writing Automated Tests.- 9. Organizing Test Data.- 10. Writing a Test Suite.- 11. Testing Best Practices.- 12. Version Control.- 13. Setting Up a Python Project.- 14. Cleaning Up Code.- 15. Decomposing Programming Tasks.- 16. Static Typing in Python.- 17. Documentation.div>
