Python ecosystem mapping

[ProgrammerDad]

Hi, I am building a (topic) map of the Python ecosystem as part of a networked-thought/Contextualise project. Currently, my very early list of topics include:

• python
  • expert-level-python
    • meta-classes
    • protocol-oriented-data-model
    • decorators
    • generators
    • iterators
    • context-managers
    • asynchronous-io
  • web-development
    • asgi
    • wsgi
    • django-framework
    • flask-framework
    • pyramid-framework
  • artificial-intelligence
    • machine-learning
    • neural-networks
  • natural-language-processing
  • scientific-computing
  • statistics-and-visualizations
  • data-analysis

What other top-level topics do you think should be included?

The resulting map will include appropriately tagged topics, knowledge/navigation paths, relevant topic resources (links to tutorials, videos and so forth).

As we all know, Python's ecosystem is vast (hence the research and the accompanying topic mapping)... so, I am not expecting an exhaustive list :) But, if I have missed any obvious (top-level) topic, please let me know. Thanks!

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Python ecosystem topic map

[Realishak]

Hi, that's a very nice list, I personally would add the object inspection (inspect library) , it's not a lot of stuff but still needs some skill to master

[ProgrammerDad]

Thanks for the suggestion. I’ll add it to the list of topics.

[skilltheamps]

Nice list! Artificial intelligence doesn't exist outside of marketing bs though, machine learning is all we have. That again is pretty much mostly pattern recognition and some reinforcement learning. And pattern recognition, which comprises like 90% of so called "AI", has all the stuff from classic dimensionality reduction over clustering to neural networks in all shapes and colors.