What are the best practices for importing data in Python?

What are the best practices for importing data in Python?

When importing data in Python, it's important to use libraries like Pandas for structured data. Always check for missing values and data types.

Can you explain how to handle missing values?

Certainly! You can handle missing values by using methods like dropna() to remove them or fillna() to replace them with a specific value.

What about importing large datasets?

For large datasets, consider using chunking with pd.read_csv() to load data in smaller portions, which helps manage memory usage.

Are there any performance tips for data import?

Yes! Use efficient file formats like Parquet or Feather, and avoid unnecessary data transformations during the import process.