LM Working with Files (CSV)

Working with Files (CSV)

Reading and writing files, especially CSV files, is crucial for data analysis and sharing results. In Python, you can use:

  • The built-in open() function
  • The csv module for simple CSV operations
  • The pandas library for powerful data import and export

Practicing file handling helps you work with real-world data in your projects.

Example: Importing CSV with pandas

import pandas as pd

# Read a CSV file
df = pd.read_csv("data.csv")

# Show the first few rows
print(df.head())

# Write to a new CSV file
df.to_csv("output.csv", index=False)

Using pandas makes working with CSV files fast and convenient, especially for data analysis tasks.

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