Software Alternatives & Reviews

[Python] A Journey to Python Async - 1. Intro

Pandas NumPy FastAPI
  1. 1
    Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
    Pricing:
    • Open Source
    But whereas I took for granted that async syntax in JS, async in Python was quite unfamiliar to me when I saw it for the first time. I had some experiences of using Python for writing really simple scripts, without ever worrying about those async features. That was probably because many big popular libraries such as numpy, pandas, or even selenium didn’t require any async logics to be considered. And those libraries were(and still are) the main reasons for using Python at all.

    #Data Science And Machine Learning #Data Science Tools #Python Tools 198 social mentions

  2. 2
    NumPy is the fundamental package for scientific computing with Python
    Pricing:
    • Open Source
    But whereas I took for granted that async syntax in JS, async in Python was quite unfamiliar to me when I saw it for the first time. I had some experiences of using Python for writing really simple scripts, without ever worrying about those async features. That was probably because many big popular libraries such as numpy, pandas, or even selenium didn’t require any async logics to be considered. And those libraries were(and still are) the main reasons for using Python at all.

    #Data Science And Machine Learning #Data Science Tools #Python Tools 107 social mentions

  3. FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
    Pricing:
    • Open Source
    • Free
    However, after I joined the current company and started using FastAPI, I had to use that async feature in Python, although I didn’t really need to understand what those syntaxes meant - I only guessed that they’re acting pretty much like the ones in JS/Node.js. That was quite correct, and everything works just fine.

    #Developer Tools #API Tools #Python Programming 233 social mentions

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