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Use Pandas 2.0 with PyArrow Backend to read CSV files faster
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With Pandas 2.0 you can use PyArrow instead of NumPy as the Backend engine. This makes reading CSV files faster.
00:00 Introduction Pandas 2.0 with PyArrow Backend
00:25 Import pandas 2.0
00:37 Python function to generate CSV file
01:49 read_csv with Numpy and read_csv with pyarrow engine
02:50 Compare the execution time using timeit
03:20 Conclusion and connecting the dots
00:00 Introduction Pandas 2.0 with PyArrow Backend
00:25 Import pandas 2.0
00:37 Python function to generate CSV file
01:49 read_csv with Numpy and read_csv with pyarrow engine
02:50 Compare the execution time using timeit
03:20 Conclusion and connecting the dots
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