Synopses & Reviews
Synopsis
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
Use best practices to maintain a project over a long time
- Learn techniques to keep your project under control
Who This Book Is For Experienced Python coders from web development, big data, and more.
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Synopsis
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
Synopsis
- Python is highly relevant and salient meme in terms of revenue in ebook database engines.
- Python is highly relevant in MIS, Tiobe and is one of today's most applied programming languages with many applications in Big Data, Finance, Web, Maker, Game development and more.
- Author has over 30 years of experience with Python.
- Fills a hole in Apress Python Roadmap and more.