The six most important read_csv arguments in Pandas

The six most important read_csv arguments in Pandas

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The six most important read_csv arguments in Pandas
Do you work with CSV files? Of course you do! It's by far the most common format. And the read_csv function supports dozens of arguments -- so many that it's often hard to know where to start reading the documentation. In this video, I show you the six arguments for read_csv that you're most likely to need. I then demonstrate them with real data files, in Jupyter. (You can download my notebook, plus the data files, from https://github.com/reuven/youTube-notebooks .)