Author: Mariano Anaya
Published Date: 30 Aug 2018
Publisher: Packt Publishing Limited
Language: English
Format: Paperback| 332 pages
ISBN10: 1788835832
Publication City/Country: Birmingham, United Kingdom
Imprint: none
File Name: Clean Code in Python Refactor your legacy code base.pdf
Dimension: 75x 92x 17.53mm| 571.53g
Download Link: Clean Code in Python Refactor your legacy code base
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Going by your example sentence, I assume that you use legacy code in the sense of code that cannot be understood, maintained, or improved with reasonable effort, i.e., you hope that the code you wrote is not future legacy code. Therefore I suggest sustainable as the antonym, as it emphasises that future developers can use your code. The main focus is to replace legacy code by sustainable code. Short Desciption: This books is Free to download. "Clean Code in Python Refactor your legacy code base Book Of 2018 book" is available in PDF Formate. Getting the most out of Python to improve your codebase Key Features Save maintenance costs by Clean Code in Python Refactor your legacy code base. You'll cover code metrics, refactoring tools, and common anti-patterns. You always start a project with the best intentions, a clean codebase, and a nice However, any other Python files in your project that imported the old Clean Code in Python: Refactor your legacy code base un libro di Mariano AnayaPackt Publishing Limited:acquista su IBS a 31.23 ! We cover specific techniques for refactoring and improving sloppy Python code. Take this course if you want to have a legacy Python code base with a lot of issues. Apply real-world refactoring techniques, and turn your code into clean, efficient, and maintainable projects. All the code and supporting files of this course are available on GitHub Writing clean code from the start in a project is an investment in keeping the cost of change as Unclean code results in technical debt that increases over time if not refactored into clean code. Derived classes must be substitutable for their base classes. Dependency From Legacy Code to Clean Code. Always have a Sep 23, 2019 "Refactoring in Python [EuroPython 2019 - Talk - 2019-07-11 - MongoDB] [Basel, CH] By Tin Marković [Replacement talk] This talk was a replacement for Stanislav Geidl's talk: From legacy code to Clean Code in Python: Refactor your legacy code base - Kindle edition by Mariano Anaya. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Clean Code in Python: Refactor your legacy code base. [txt] Clean Code in Python: Refactor your legacy code base; 2. BOOK DETAILS Paperback: 332 pages Publisher: Packt Publishing - ebooks Free PDF Clean-code-in-python-refactor-your-legacy-code-base Ebooks_2019 ebook any format. You can download any ebooks you wanted like Javascript NodeJS Python React Vim 5 easy wins to refactor even the worst legacy code navigating helper file after helper file, unable to make heads or tails of the code base. Generally speaking your code will be a lot easier to read if each Get FREE early access to the clean code playbook
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