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Learn how to use the built-in csv module and the external pandas module to read CSV files in Python, and compare their features and performance.
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I have quite a sparse dataset in CSV format. A wide table that has several rows but many (32k) columns. Total size ~540K. When I read the dataset using pyarrow.csv.read_csv it hangs, gradually eats ...
Take CSV files for example. CSV, of course, stands for "Comma Separated Values", more often than not though, it seems that CSV files use tabs to separate values rather than commas. And let's not even ...