this post was submitted on 18 Mar 2024
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Parsing a CSV file really really fast in Python (datapythonista.me)
submitted 8 months ago by [email protected] to c/python
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If you care about performance, you may want to avoid CSV files. But since our data sources are often like our family, we can't make a choice, we'll see in this blog post how to process a CSV file as fast as possible.

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[โ€“] [email protected] 2 points 8 months ago

That really depends on how much of it you're doing. If you're just handing a few times at a time, the difference between 0.1s and 3s isn't that big of a deal. If you're handling thousands or even millions in a day, it can be an order of magnitude cost savings to make it more efficient.

We use a CSVs at work, but it's not a common thing so we just use the built-in csv library. If we did more with it, pandas would be the way to go (or maybe we'd rewrite that service in Rust).