Understanding Python Comments: A Beginner's Guide
Posted in Python by Dirk - last update: Jan 04, 2024
In Python, comments are annotations within the code that are not executed when the program runs. They serve as explanatory notes to provide information about the code to developers or anyone reading the code. Comments are ignored by the Python interpreter and are solely for human understanding.
Documentation: Comments act as documentation, helping developers understand the purpose and functionality of different parts of the code.
Clarity and Readability: Well-commented code is more readable and understandable, making it easier for others (or even yourself) to follow the logic and flow of the program.
Debugging: Comments can be used to temporarily disable or comment out code segments during debugging, without deleting them. This helps in isolating issues and testing different sections of code.
Python supports two types of comments:
- Single-line Comments: These are created using the
# symbol. Everything following the
# on that line is considered a comment.
# This is a single-line comment
variable = 10 # This is also a comment on the same line
- Multi-line Comments / Docstrings: For longer explanations or documentation, you can use triple quotes (
"""). Although not true multi-line comments, they serve a similar purpose.
This is a multi-line comment or docstring.
It can span across multiple lines.
Be Clear and Concise: Write comments that are clear and concise, avoiding unnecessary details.
Update Comments: Regularly update comments to reflect changes in the code. Outdated comments can be more confusing than helpful.
Avoid Redundancy: Don’t state the obvious; focus on explaining the why, not the what.
Use Proper Grammar: Maintain proper grammar and spelling to enhance overall professionalism
In summary, comments in Python are essential for code documentation, improving readability, and aiding in the debugging process. By using both single-line and multi-line comments judiciously, developers can create more maintainable and understandable code, fostering collaboration and easing the overall development process.