Re:Who needs MLflow when you have SQLite?
by chaps on Wednesday November 16, 2022 @07:05PM
(#33632932)
Yeah, I think for your audience, pandas makes total sense! When I first started using it, it was through an ambitiously large project with tons of gaps in data, untype-able text for 1% of rows, didn't fit in memory.. etc. So my personal experience is a bit tainted by putting myself through a hell that could have solved sooner by spending more time learning instead of bashing my keyboard with a hammer.
However, I always though the 10 minutes to Pandas page was decent for getting started. I picked up Polars recently and thought it was more difficult than Pandas because there wasn't any quick intro docs. What projects have great introductory docs for you?
Also, I am curious to learn more about the specifics of interop libraries you are referring to.
Learning a new tool is generally a challenge. I think another challenge with a lot of data tools is that non-programmers tend to be the major audience. I make my living teaching "non-programmers" how to use these tools.
That said, I always teach "go to the docstrings and stay in your environment (to not break flow) if you can." The pydata docstrings are better than most, including Python (the language).