Chapter Overview
In this chapter, you’ll learn how to use comments in Python to make your code clear, readable, and easier to maintain. You’ll understand why comments matter, how Python processes them, and the different types of comments available, including single-line, inline, block-style, and docstring comments. This chapter also covers best practices, PEP 8 guidelines, and common beginner mistakes to avoid. By the end of this chapter, you’ll be able to write meaningful comments that explain intent, improve code understanding, and support long-term code maintenance.
What You Will Learn in This Chapter
In this chapter, you will learn:
- What Python comments are and how they help explain code logic clearly
- Why comments are important for code readability, maintenance, and collaboration
- How to write single-line and multi-line comments correctly in Python
- When to use comments and when to let the code speak for itself
- Common mistakes developers make while writing Python comments
- How to follow PEP 8 guidelines for clean and professional commenting
- Best practices for writing meaningful and effective code documentation
- Answers to common questions about Python comments and documentation
This chapter will give you a strong, practical understanding of Python comments and code documentation—helping you write cleaner, more readable, and maintainable Python programs.
Lessons in This Chapter
Below is a list of all the lessons included in this chapter. Click on any topic to dive into the full tutorial.
Lesson 1: Python Comments Explained — Best Practices & Guidelines for Clean Code
This lesson explains Python comments, covering what they are, why they matter, and how to use them effectively. You’ll learn best practices for writing clear, meaningful comments that improve readability without cluttering or repeating the code.
What you’ll learn:
- What Are Python Comments? (Explained for Beginners)
- Why Are Comments Important in Python?
- How to Create Comments in Python
- Understanding How Python Processes Comments
- Types of Comments in Python (With Clear Examples)
- Best Practices for Writing Comments in Python
Lesson 2: Python Single-Line and Multi-Line Comments Explained (With Examples & Best Practices)
This lesson focuses on single-line and multi-line Python comments, explaining their syntax, usage, and practical differences. You’ll learn when to use each type and how comments improve code clarity without cluttering your logic.
What You’ll Learn:
- Single-Line Comments in Python
- Why Use Single-Line Comments?
- Syntax of Single-Line Comments in Python
- Inline Comments in Python (Subtype of Single-Line Comments)
- Multiline Comments in Python
- Method 1: Using Multiple Single-Line Comments (
#) - Method 2: Using Triple-Quoted String Literals
- Difference in Placement of Triple Quotes
- Single-Line vs Multi-Line Comments in Python
Lesson 3: PEP 8 Guidelines for Python Comments: How to Write Clean Code and Avoid Common Mistakes
This lesson introduces PEP 8 guidelines for Python comments, explaining how to write clear, consistent, and readable comments. You’ll learn why proper comment formatting matters and how to avoid common mistakes that reduce code quality and clarity.
What You’ll Learn:
- What is PEP 8 and Why It’s Important
- PEP 8 Guidelines for Python Comments
- Common Mistakes to Avoid When Writing Python Comments
Lesson 4: Python Comments FAQ: Everything You Need to Know (Beginner to Advanced)
This lesson is the final FAQ wrap-up for Chapter 3, answering common questions that arise while learning Python comments and code documentation.
It helps clear confusion around comment usage, placement, best practices, and common mistakes using simple, beginner-friendly explanations.
Complete this lesson to reinforce what you’ve learned before moving on to more advanced Python documentation concepts.
What’s Next After This Chapter
You’ve made solid progress by learning how to use Python comments to explain your code clearly and effectively. By understanding different types of comments, best practices, and PEP 8 guidelines, you now know how to add meaningful explanations that improve code readability and long-term maintainability.
Now it’s time to move ahead to Chapter 4: Python Docstrings – Complete Guide, where you’ll take code documentation to the next level. In the next chapter, you’ll learn what Python docstrings are, how they differ from comments, how Python uses them at runtime, and how to write well-structured docstrings following standard conventions. This chapter will help you create professional, self-documented Python code and prepare you for writing maintainable, real-world applications—let’s continue the journey!