Pro Python Best Practices
Apress (Verlag)
978-1-4842-2240-9 (ISBN)
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
- Learn techniques to keep your project under control
This book is for experienced Python coders from web development, big data, and more.
Kristian Rother is a freelance Python developer and trainer with over 30 years of experience.
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
“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)
| Erscheinungsdatum | 24.03.2017 |
|---|---|
| Zusatzinfo | 44 black & white illustrations, 19 colour illustrations, biography |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 566 g |
| Einbandart | kartoniert |
| Themenwelt | Informatik ► Programmiersprachen / -werkzeuge ► Python |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Informatik ► Theorie / Studium ► Compilerbau | |
| Mathematik / Informatik ► Informatik ► Web / Internet | |
| Schlagworte | Best Practices • Big Data • Code • code organization • Debugging • Development • programming • Python • Software • TDD • Testing • Unit • Version Control • Web |
| ISBN-10 | 1-4842-2240-7 / 1484222407 |
| ISBN-13 | 978-1-4842-2240-9 / 9781484222409 |
| Zustand | Neuware |
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