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FULL VIDEO
Video link https://youtu.be/uW9j_3FpSzc
Blog post https://www.runthat.blog/python-naming-conventions-best-practices-for-writing-clean-and-readable-code/
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Chapters in this video
00:00 Introduction
00:21 What we do
00:38 Python package names
01:01 __init__.py file
01:26 Python module names
01:45 Python class names
02:13 Python method and function names
03:02 Importing packages and modules
03:36 Python variable names
04:00 #runthat
04:11 Summary of naming conventions in Python
05:10 Exceptions: like constants
05:30 .env files (constants)
Video summary
When writing Python code, following consistent naming conventions is critical to creating clean, readable, and maintainable programs. Python naming conventions provide guidelines for naming variables, functions, classes, and other elements in your code. In this blog post, we explore the importance of naming conventions and discuss some best practices to help you write Python code that is not only functional, but also easy to understand and collaborate on.
Why naming conventions are important
It is important to use meaningful and consistent names for your code elements for the following reasons:
1. Readability: Descriptive names make your code easier to understand, especially for yourself and other developers who may be collaborating on your project.
2. Code clarity: Clear and concise names can convey the purpose or functionality of a code element.
3. Avoid conflicts: By following naming conventions, you can avoid name conflicts between different elements in your code.
4. Consistency: Consistent naming throughout your code base ensures a consistent and professional look.
Python naming conventions
Let's take a closer look at some commonly accepted naming conventions in Python:
1. Variables and functions: Use lowercase letters and separate words with underscores ('_') for variable and function names. Choose descriptive names that convey the purpose or meaning of the variable or function. Example: num_students, calculate_average.
2. Constants: Use uppercase letters and separate words with underscores ('_') for constant names. Constants are usually used for values that do not change throughout the program. Example: MAX_VALUE, PI.
3. Classes: Use CamelCase (capitalize the first letter of each word) for class names. Class names should be nouns or noun phrases that describe the purpose of the class. Example: Person, CustomerData.
4. Modules: Use lowercase letters and separate words for module names with underscores ('_'). Module names should be short and descriptive and avoid using reserved keywords. Example: utils, data_processing.
5. Packages: Package names follow the same conventions as module names, but can have multiple levels. Use lowercase letters and separate words with underscores ('_'). Example: my_package, data_analysis.
PEP 8: The Python style guide for naming conventions
PEP 8 is a document that provides guidelines for writing Python code in a consistent and readable manner. It covers various aspects of code style, including naming conventions. PEP stands for Python Enhancement Proposal, and PEP 8 serves as the de facto standard for Python code style.
Tools to help you
Linters: Linters are tools that analyze your code for potential problems and enforce coding standards. Tools like Flake8, pylint, and pyflakes can check your code against PEP 8 guidelines, including naming conventions. Integrating a linter into your development environment can provide real-time feedback.
IDE support: Many integrated development environments (IDEs) such as PyCharm, Visual Studio Code, and Atom provide built-in or plugin-based support for PEP 8. These tools can automatically format your code according to the guidelines, including naming conventions.
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