What can you do with a CSV in Python?

🐍 Things you can do with the csv module in Python

When we talk about data handling in Python, we often think straight away of pandas.

But the standard csv module has more power than it looks, and this KDnuggets article demonstrates it with practical examples.

What you can do with csv:

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• Read and write CSVs without external libraries
  • Supports comma-, tab-, or any delimiter-separated files.
• Work with dictionaries
  • With csv.DictReader and csv.DictWriter you can map columns by name, which makes your code more readable.
• Handle large files
  • Processing row by row uses less memory than loading everything into a DataFrame.
• Support for custom configurations
  • You can change the delimiter, quote character, or escape character to adapt to any format.
• Easy integration with other libraries
  • Data read with csv can then be passed to pandas, NumPy, or directly to a database.

💡 Tip:

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If you need to process data quickly, with low memory usage and no dependencies, csv remains Python’s standard library of choice.

More information at the link 👇

Surprising Things You Can Do with Python's csv Module - KDnuggets

Think it's just for reading simple tables? See what else you can do with this Python standard library module.

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