wtfpython VS python-small-examples

Compare wtfpython vs python-small-examples and see what are their differences.

python-small-examples

告别枯燥,致力于打造 Python 实用小例子,更多Python良心教程见 Python中文网 http://www.zglg.work (by jackzhenguo)
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wtfpython python-small-examples
48 1
35,051 7,828
- -
3.4 4.5
4 days ago 8 months ago
Python Python
Do What The F*ck You Want To Public License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

wtfpython

Posts with mentions or reviews of wtfpython. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-29.

python-small-examples

Posts with mentions or reviews of python-small-examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-23.
  • Ask HN: What are the best tutorial sites for Python?
    3 projects | news.ycombinator.com | 23 Nov 2022
    All these are neither recent (they are updated though) nor AI related. Here you go :

    If you are new to dev, I like "think python"

    If you are already into programming, I personally find sifting through organized small code snippets helpful for learning a new language :

    https://github.com/jackzhenguo/python-small-examples

    https://github.com/satwikkansal/wtfpython/blob/master/README...

    https://www.30secondsofcode.org/python/p/1

    Finally, "The Hitchhiker’s Guide to Python" is good for everything configuration, and usage.

What are some alternatives?

When comparing wtfpython and python-small-examples you can also consider the following projects:

deno - A modern runtime for JavaScript and TypeScript.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

wtfjs - 🤪 A list of funny and tricky JavaScript examples

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

pfFocus - Generate meaningful output from your pfSense configuration backup, like Markdown documentation.

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

setup.py - 📦 A Human's Ultimate Guide to setup.py.

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

macropy - Macros in Python: quasiquotes, case classes, LINQ and more!

Pycco - Literate-style documentation generator.

Django - The Web framework for perfectionists with deadlines.