tags: 📥️/📰/🟥️ publish: true aliases: - 10 Hidden Python Libraries Programmers Must Use in 2023 cover: '![rw-book-cover](https://readwise-assets.s3.amazonaws.com/static/images/article3.5c705a01b476.png)' general_subject: specific_subject: source: medium isbn: doi: url: 'https://medium.com/p/a26732562b1c' author: "[[@Abhinaba Banerjee]]" guest: publish_date: reviewed_date: --- ![rw-book-cover](https://readwise-assets.s3.amazonaws.com/static/images/article3.5c705a01b476.png) ## Highlights - import pandas as pd import fastparquet as fp # Create a sample dataframe data = {'name': ['Alice', 'Bob', 'Charlie'], 'age': [25, 30, 35]} df = pd.DataFrame(data) # Write the dataframe to a Parquet file fp.write('example.parquet', df) # Read the Parquet file into a new dataframe new_df = fp.ParquetFile('example.parquet').to_pandas() # Print the new dataframe print(new_df) Output: name age 0 Alice 25 1 Bob 30 2 Charlie 35