python pandas read parquet

Apache Parquet is a columnar storage file format that is popular for its efficiency and compatibility with big data processing frameworks. In this tutorial, we'll explore how to use the Python Pandas library to read Parquet files.
Before we begin, make sure you have Python and Pandas installed on your system. You can install Pandas using:
Start by importing the Pandas library in your Python script or Jupyter Notebook:
Pandas uses the pyarrow library to read Parquet files. Install it using:
Once you've read the Parquet file, you can explore the contents of the DataFrame using Pandas functions. For example:
Here's a complete example that combines all the steps:
Adjust the code according to your specific use case and data.
That's it! You've successfully learned how to read Parquet files using Python Pandas. Feel free to explore and analyze your data using Pandas capabilities.
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