6 Python Best Practices for Writing Better Code
From Good to Great, Python Best Practices to Make you BETTER Developers
Coding is the art of writing instructions — called algorithms; they write to instruct computers for specific tasks using programming languages.
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Just like natural languages, programming languages have their own syntactic and semantic rules that form the foundation for communication. While natural languages are inherently more complex, flexible, and dynamic, these qualities are still present in programming languages, albeit to a lesser degree.
There are numerous ways to write even the most straightforward algorithm. While flexibility in coding is beneficial, it can sometimes hinder efficiency and clear communication, mainly when multiple people collaborate on the project.
This article will explore the best coding practices for Python, one of data science’s most widely used languages. The guidelines outlined in the following sections are primarily based on PEP 8, the official style guide for writing Python code effectively.
What is PEP 8?
“Code is read much more often than it is written. Code should always be written in a way that promotes readability” — Guido van…
