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Update README.md
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polars-vs-pandas/README.md

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Your download bundle contains the following files:
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Online_Retail.parquet - This parquet file contains retail data used in some of the queries.
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data_generation.py - This script contains the data_generation() function used to generate different quantities of data.
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code_speed_test.py - This script performs time tests for pandas and Polars DataFrames.
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dataframe_and_lazyframe_time_tests.py - This script performs time tests for DataFrames and a LazyFrame.
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dataframe_and_lazyframe_time_tests_v2.py - This script performs time tests for a LazyFrame with streaming enabled.
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dataframe_conversions.py - This file contains the code used to convert between pandas and Polars DataFrames, plus a Narwhals example.
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sample_pandas_and_polars_code.py - This file contains the code used to illustrate the differences between pandas and Polars syntax.
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DataFrame_Plots.ipynb - This Jupyter Notebook file contains the plotting code to demonstrate default plotting capabilities.
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Online_Retail.parquet - This parquet file contains retail data used in some of the queries.
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data_generation.py - This script contains the generate_data() function used to generate different quantities of data.
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dataframe_and_lazyframe_time_tests.py - This script performs time tests for DataFrames and a LazyFrame.
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streaming_test.py - This script performs time tests for a LazyFrame with streaming enabled.
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dataframe_conversions.py - This file contains the code used to convert between pandas and Polars DataFrames, plus a Narwhals example.
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sample_pandas_and_polars_code.py - This file contains the code used to illustrate the differences between pandas and Polars syntax.
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DataFrame_Plots.ipynb - This Jupyter Notebook file contains the plotting code to demonstrate default plotting capabilities.

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