Best practices to follow while Programming in Python

Best practices to follow while Programming in Python

This article will explain a few of the best practices that one should follow while programming in Python.

In this article, I am going to discuss some of the best practices that a programmer must follow while programming in python. Python as a language has evolved to a great extent over the last few decades and has gained popularity amongst a lot of software programmers, data enthusiasts, and system administrators. This is because of the ease of writing code in python and the large community behind it.

Figure 1 – Programming Language Survey (Source)

In the above figure, you can see the trend of python as compared to the other popular programming languages. This survey was conducted by Stack Overflow and reflects that developers love programming in python and the popularity is still rising.

Overview of PEP

As per the official documentation – “PEP stands for Python Enhancement Proposal. A PEP is a design document providing information to the Python community, or describing a new feature for Python or its processes or environment. The PEP should provide a concise technical specification of the feature and a rationale for the feature.”_ You can read more about PEP here. Basically, PEP enables the developers to propose new features to the python community, raise and track issues with the community and also document the design decisions for implementing a particular feature within python. If you are beginning to programming in python, I would suggest understanding how python and the community around it work for a better understanding of the community standards.

PEP Workflow - Programming in Python

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