Pro Python Best Practices, 1st ed. Debugging, Testing and Maintenance
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.
- Learn common debugging techniques that help you find and eliminate errors
- Gain techniques to detect bugs more easily
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
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
Date de parution : 03-2017
Ouvrage de 264 p.
17.8x25.4 cm
Mots-clés :
Python; debugging; testing; tdd; unit; code; best practices; software; programming; development; web; big data; code organization; version control
