awesome-functional-python

https://github.com/mpkocher/Functional-Programming-Technique... I covered a few core concepts (e.g., functions as first-class citizens, closures, partial application, etc...) and added a few real world examples of using a functional centric design. The text/format has some rough edges, but overall I think the text is useful for internalizing how to leverage a functional-ish approach. Other resources. https://github.com/sfermigier/awesome-functional-python

I see there is a short section about Python (6 resources). I have been maintaining for the last 5 years a slightly richer collection at: https://github.com/sfermigier/awesome-functional-python/

1) It's not released on PyPI (there is a different project with the same name). 2) How different / better is it that the similar projects listed on: https://github.com/sfermigier/awesome-functional-python ? (Also: feel free to make a pull request if you want your project listed).

Cool, I thought it was dead (like the fictional character called, coincidently, "Snake"). I see that active development has restarted 6 months ago, seemingly. Kudos to everyone involved, specially @Kodiologist who seems the main contributor over the recent period. (Shameless plug: more functional languages that look like Python, or compile to one of the Python VMs: https://github.com/sfermigier/awesome-functional-python#lang... ).

Perhaps a custom compose function can help with these use cases? This series has a few examples of composing computation in Python that might be useful. https://github.com/mpkocher/Functional-Programming-Technique... And there's a general list of resources here. https://github.com/sfermigier/awesome-functional-python

In Python: https://pypi.org/project/effect/ (Effect library) https://www.youtube.com/watch?v=fM5d_2BS6FY (talk from PyConNZ 2015). (Shameless plug: this is one of the libraries listed in https://github.com/sfermigier/awesome-functional-python ).

I'm a big fan of @mhashemi's work in Python in general, even if I don't use Boltons personally. The discussion regarding inclusion in the stdlib is sensible, and I fully agree with @mhashemi's comments. See similar discussions, for instance, regarding dataclasses vs. attrs (https://github.com/ericvsmith/dataclasses/issues/19). Sometimes, however, it's a bit annoying when something that you think should be widely available isn't included in the stdlib. The cons of course are: - Fragmentation (several project pursuing similar objectives) - Not being able to use a powerful construct to simplify code in the stdlib itself (the stdlib can only depend on the stdlib). Regarding, for instance, functional programming, I maintain a list of interesting projects in this domain in Python: https://github.com/sfermigier/awesome-functional-python/blob...

Shameless plug: https://github.com/sfermigier/awesome-functional-python (a list of documents and projects related to FP in Python, including, already, the OP's project). I'm personally using Toolz so far, probably because it's the most popular of the maintained ones. Would be happy to see both some standardisation (a PEP?) and consolidation between the various projects.

Shameless plug, if you are interested in functional programming in Python: https://github.com/sfermigier/awesome-functional-python (PR welcome).

I have started a few weeks ago an index of useful resources (docs and code) related to functional programming in Python: https://github.com/sfermigier/awesome-functional-python I'm going to include this blog post as well. Pull requests are welcome, BTW.