How to Use Comments in PySpark | How to Write Comments Like a Pro | PySpark Tutorial

Using Comments in Notebook - Databricks

Using Comments in Databricks Notebook

In this post, you'll learn how to add comments in Databricks notebooks using different techniques.

🔹 What is a Comment?

A comment in PySpark (Databricks notebooks) is a line in the code that is ignored by the interpreter. It is used to:

  • Explain the code for better readability.
  • Temporarily disable code during debugging.
  • Document the logic of the program.

🔹 Single-Line Comments

Use # to create a single-line comment.

# This is a single-line comment in PySpark print("Hello, World!") # This is an inline comment

🔹 Multi-Line Comments

You can use triple quotes ''' or """ to write multi-line comments or docstrings.

''' This is a multi-line comment. It spans multiple lines. ''' print("Hello, World!")

🔹 Shortcut in Databricks Notebook

For commenting multiple lines in a Databricks notebook:

  • On Windows: Ctrl + /
  • On Mac: Cmd + /
💡 Pro Tip: Use comments to explain complex code and improve collaboration with your team!

🎬 Watch the Video Tutorial

📌 Additional Video on Comments in Databricks

3 comments:

  1. In a Databricks notebook, comments help explain and document your code. Use # for single-line comments and """ """ for multi-line comments. For instance, when analyzing puffer jacket sales or inventory, you can add comments to clarify steps like data cleaning, transformations, and visualizations for easier understanding.

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