Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Place of publication not identified]
Apress
[2017]
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| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781484222416/?ar |
| 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. You will: Learn common debugging techniques that help you find and eliminate errors Gain techniques to detect bugs more easily ver best="" practices="" to="" prevent="" bugscarry="" out="" automated="" testing="" discover="" problems="" faster Use best practices to maintain a project over a long time Learn techniques to keep your project under control. |
| Item Description: | Online resource; title from cover (Safari, viewed April 17, 2017) |
| Physical Description: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 1484222415 9781484222416 |
Staff View
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| spelling | Rother, Kristian VerfasserIn aut Pro Python best practices debugging, testing and maintenance Kristian Rother [Place of publication not identified] Apress [2017] ©2017 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from cover (Safari, viewed April 17, 2017) 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. You will: Learn common debugging techniques that help you find and eliminate errors Gain techniques to detect bugs more easily ver best="" practices="" to="" prevent="" bugscarry="" out="" automated="" testing="" discover="" problems="" faster Use best practices to maintain a project over a long time Learn techniques to keep your project under control. Python (Computer program language) Debugging in computer science Python (Langage de programmation) Débogage 1484222407 Erscheint auch als Druck-Ausgabe 1484222407 |
| spellingShingle | Rother, Kristian Pro Python best practices debugging, testing and maintenance Python (Computer program language) Debugging in computer science Python (Langage de programmation) Débogage |
| title | Pro Python best practices debugging, testing and maintenance |
| title_auth | Pro Python best practices debugging, testing and maintenance |
| title_exact_search | Pro Python best practices debugging, testing and maintenance |
| title_full | Pro Python best practices debugging, testing and maintenance Kristian Rother |
| title_fullStr | Pro Python best practices debugging, testing and maintenance Kristian Rother |
| title_full_unstemmed | Pro Python best practices debugging, testing and maintenance Kristian Rother |
| title_short | Pro Python best practices |
| title_sort | pro python best practices debugging testing and maintenance |
| title_sub | debugging, testing and maintenance |
| topic | Python (Computer program language) Debugging in computer science Python (Langage de programmation) Débogage |
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