Today I Learned

⭐ encode apistar

Just starred apistar [1] by encode [2]. It’s an exciting project with a lot to offer. The Web API toolkit. 🛠 References: [1]: https://github.com/encode/apistar [2]: https://github.com/encode

⭐ pypyjs pypyjs

I recently discovered pypyjs [1] by pypyjs [2], and it’s truly impressive. PyPy compiled to JavaScript References: [1]: https://github.com/pypyjs/pypyjs [2]: https://github.com/pypyjs

⭐ gtnx pandas-highcharts

If you’re into interesting projects, don’t miss out on pandas-highcharts [1], created by gtnx [2]. Beautiful charting of pandas.DataFrame with Highcharts References: [1]: https://github.com/gtnx/pandas-highcharts [2]: https://github.com/gtnx

⭐ jakevdp PythonDataScienceHandbook

Check out PythonDataScienceHandbook [1] by jakevdp [2]. It’s a well-crafted project with great potential. Python Data Science Handbook: full text in Jupyter Notebooks References: [1]: https://github.com/jakevdp/PythonDataScienceHandbook [2]: https://github.com/jakevdp

⭐ timofurrer colorful

I like timofurrer’s [1] project colorful [2]. Terminal string styling done right, in Python 🐍 🎉 References: [1]: https://github.com/timofurrer [2]: https://github.com/timofurrer/colorful

⭐ cookiecutter cookiecutter

Just starred cookiecutter [1] by cookiecutter [2]. 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. References: [1]: https://github.com/cookiecutter/cookiecutter [2]: https://github.com/cookiecutter

⭐ jupyterlab jupyterlab

I recently discovered jupyterlab [1] by jupyterlab [2], and it’s truly impressive. JupyterLab computational environment. References: [1]: https://github.com/jupyterlab/jupyterlab [2]: https://github.com/jupyterlab

⭐ nickhould tidy-data-python

Just starred tidy-data-python [1] by nickhould [2]. It’s an exciting project with a lot to offer. Tidy Data in Python Jupyter Notebook References: [1]: https://github.com/nickhould/tidy-data-python [2]: https://github.com/nickhould

⭐ mikeckennedy write-pythonic-code-demos

The work on write-pythonic-code-demos [1] by mikeckennedy [2]. Write Pythonic Code Like a Seasoned Developer video course demo materials. References: [1]: https://github.com/mikeckennedy/write-pythonic-code-demos [2]: https://github.com/mikeckennedy

⭐ mikeckennedy write-pythonic-code-for-better-data-science-webcast

mikeckennedy [1] has done a fantastic job with write-pythonic-code-for-better-data-science-webcast [2]. Highly recommend taking a look. No description available. References: [1]: https://github.com/mikeckennedy [2]: https://github.com/mikeckennedy/write-pythonic-code-for-better-data-science-webcast

⭐ rajshah4 dlgroup

I came across dlgroup [1] from rajshah4 [2], and it’s packed with great features and ideas. Deep Learning Group References: [1]: https://github.com/rajshah4/dlgroup [2]: https://github.com/rajshah4

⭐ pandas-dev pandas

I recently discovered pandas [1] by pandas-dev [2], 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 References: [1]: https://github.com/pandas-dev/pandas [2]: https://github.com/pandas-dev