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I recently discovered setup.py by navdeep-G, and it’s truly impressive.

📦 A Human’s Ultimate Guide to setup.py.

I like WaylonWalker’s project pyDataVizDay.

A python implementation of the Data Viz Day visualization.

If you’re into interesting projects, don’t miss out on iplotter, created by niloch.

JavaScript charting in ipython/jupyter notebooks -

Just starred apistar by encode. It’s an exciting project with a lot to offer.

The Web API toolkit. 🛠

I recently discovered pypyjs by pypyjs, and it’s truly impressive.

PyPy compiled to JavaScript

If you’re into interesting projects, don’t miss out on pandas-highcharts, created by gtnx.

Beautiful charting of pandas.DataFrame with Highcharts

Check out PythonDataScienceHandbook by jakevdp. It’s a well-crafted project with great potential.

Python Data Science Handbook: full text in Jupyter Notebooks

I like timofurrer’s project colorful.

Terminal string styling done right, in Python 🐍 🎉

Just starred cookiecutter by cookiecutter. It’s an exciting project with a lot to offer.

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

I recently discovered jupyterlab by jupyterlab, and it’s truly impressive.

JupyterLab computational environment.

Just starred tidy-data-python by nickhould. It’s an exciting project with a lot to offer.

Tidy Data in Python Jupyter Notebook

The work on write-pythonic-code-demos by mikeckennedy.

Write Pythonic Code Like a Seasoned Developer video course demo materials.

mikeckennedy has done a fantastic job with write-pythonic-code-for-better-data-science-webcast. Highly recommend taking a look.

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I came across dlgroup from rajshah4, and it’s packed with great features and ideas.

Deep Learning Group

I recently discovered pandas by pandas-dev, and it’s truly impressive.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more