Ignoring Comments: Failing to add comments to your code can make it hard for others (and yourself) to understand it later

Vidya Gopinath for keySkillset Vidya Gopinath for keySkillset
Vidya Gopinath for keySkillset
Ignoring Comments: Failing to add comments to your code can make it hard for others (and yourself) to understand it later

In the world of programming, comments act as valuable companions to code, providing insights and explanations that enhance its understandability. Just like breadcrumbs guiding us through a dense forest, comments in Python lead developers on a journey of comprehension, making it easier to navigate through complex logic and understand the purpose of each line. Neglecting to include comments in your code can be likened to embarking on a thrilling adventure without a map – it might be exciting initially, but it can quickly turn into a confusing and frustrating ordeal.

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Should you add comments to your code? 

Comments in Python are brief descriptions added alongside the code to improve its readability. Developers use them to document their thought process while writing code, explaining the logic behind each line. Python interpreter ignores comments, making them exclusively for developers to understand the code better. 

Advantages of Using Comments in Python

Comments in Python offer several advantages, including:

  • Enhancing code understandability for other programmers.
  • Making the code self-explanatory.
  • Helping remember the purpose of specific commands, methods, or functions.
  • Enabling the interpreter to ignore code portions during testing.

Different Types of Comments in Python

There are three types of comments in Python:

  • Single-line comments: Begin with "#" and extend till the end of the line.
  • Multi-line comments: Achieved using "#" at the start of each line or using triple quotes (''' or """).
  • Python Docstrings: Special comments for modules, functions, and classes, defined with triple quotes.

Writing Good Comments in Python

To write effective comments, consider the following best practices:

  • Keep comments concise and informative.
  • Avoid redundant or generic comments.
  • Describe the overall task of a function or method, not specific details.
  • Ensure comments are self-explanatory and add value to the code.


Embracing the power of comments in Python is akin to donning a pair of enlightenment glasses – it allows developers to see beyond the lines of code and truly understand the intricacies of their creations. By incorporating insightful comments, you pave the way for seamless collaboration, efficient debugging, and the cultivation of a codebase that is not just functional but also a pleasure to work with. 

Remember, each line of code holds a story, and it is through the artful narration of comments that these stories come to life, leaving behind a legacy of clarity and understanding for future developers to cherish. So, embark on this journey of comment crafting, and watch your Python code transform into an enlightening tale of brilliance and coherence.

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