Pro Python best practices: debugging, testing and maintenance

By: Rother, Kristian
Material type: TextTextPublisher: New York Apress Media 2017Description: xxvii, 264 p.: ill. Include indexISBN: 9781484240366Subject(s): Python - Computer program language | Computer programming | Software development | Scripting language | Debugging - Computer scienceDDC classification: 005.133 Summary: 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. https://www.springer.com/jp/book/9781484222409
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Slot 68 (0 Floor, West Wing) Non-fiction 005.133 R6P7 (Browse shelf) Checked out 16/03/2022 204192

Table of Contents

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.

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.

https://www.springer.com/jp/book/9781484222409

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