pandas-stubs
pfun
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pandas-stubs | pfun | |
---|---|---|
4 | 3 | |
210 | 146 | |
3.3% | - | |
8.6 | 6.5 | |
5 days ago | 5 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
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pandas-stubs
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We are the developers behind pandas, currently preparing for the 2.0 release :) AMA
There is a typing effort that is led by some core members (unfortunately none of them takes part today). You can check the stubs package out at https://github.com/pandas-dev/pandas-stubs. I am not really familiar with the progress there
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Is there a way to have Eglot pickup the virtual env?
I think the issue is that pandas provides its stubs via a separate package namely pandas-stubs. It seems some packages provide their stubs in a separate package i.a.w PEP561. If I install this package I get completions etc. as you might expect.
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TypeScript is terrible for library developers
It gets a lot more complicated than that. One of many, many examples: https://github.com/pandas-dev/pandas-stubs/blob/v1.4.3.22082...
pfun
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good examples of functional-like python code that one can study?
Another examples: pfun - stuff you'd find in FP language, but in Python (like using monads for effects)
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Effectful Programming in Machine Learning pipeline
I am a long-time Coconut user, so functional ideas are relatively easy to play with. But I recently discovered pfun which has a lovely system for Effectful programming.
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How To Make Functional Programming in Python Go Fast
In pfun 0.12.0 the interpreter for the effect system was completely re-written as a Python C extension. Lets do some benchmarking to see how big a difference this actually makes in terms of performance. We'll use the performance of the the Scala library ZIO as a baseline, as the pfun effect system draws most of its inspiration from there. ZIO has a fairly extensive benchmarking suite. The most obvious benchmark for testing raw interpreter speed, without any parallelism, is called deepLeftBind (bind is the canonical name for the and_then operation, also called flatMap in Scala):
What are some alternatives?
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