Writing clean, testable, high quality code in PythonNoah Gift
Writing maintainable and clean code in software development isn’t just good practice; it is a must-have skill. Clean code helps to ensure that software is readable, easy to understand, and efficient to maintain. In contrast, poorly written code can cause problems ranging from simple bugs to...
Use alternative text on<img>tags for clean code principles validity. This attribute plays vital role for SEO, search engines, web crawlers, screen readers, etc. Bad code: <imgsrc="demo.jpg"> Good code: <imgsrc="demo.jpg"alt="This is placeholder of the image"> ...
To test this code with unittest, you can do something like the following: Python test_vehicles.py import unittest import vehicles class TestVehicles(unittest.TestCase): def test_vehicle_is_instance_of_car(self): car = vehicles.Car("Chevrolet", "Corvette", 194) self.assertIsInstance(car, ve...
Commenting previously written code, whether your own or another developer’s, is a great way to practice writing clean comments in Python. As you learn more about documenting your code, you can consider moving on to the next level of documentation. Check out our tutorial on Documenting Python ...
An example of a language that by many is considered “clean” and readable is Python. The language itself enforces some level of white space discipline and the built in APIs are plentiful and fairly consistent. That said, it’s possible to create unspeakable monsters. For example, one can ...
In order to guarantee that allTestCasecode starts with a clean database, the Django test runner reorders tests in the following way: AllTestCasesubclasses are run first. Then, all other Django-based tests (test case classes based onSimpleTestCase, includingTransactionTestCase) are run with no...
《Writing clean code》读书笔记 这篇书评可能有关键情节透露 写在前面的话: 这两天看了《Writing Clean Code》,很受启发,感觉值得再读,于是整理了一点笔记,作为checklist,以备速查。 原书共8章,每章都举一些例子,指出不足,再用通用的规则改写,每章结束时会总结一下要点,其中覆盖了比较重要的规则。附录A是作者...
Chapter 1 describes some aspects ofcleancode. The impact of a subsection for the cleanliness of the code is indicated by one to five 🚿-symbols, where five 🚿's want to say that following the given suggestion is of great importance for the comprehensibility of the code. ...
Linters can help us to identify common mistakes in coding. However, linters only provide a baseline for clean code. As can be seen from the code inlintfolder, the function name, variable names and variable types are chosen badly. WhenConvert(c)is call in some application, programmers can ...