Looking for inspiration? datacamp_facebook_live_titanic by datacamp. DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, data cleaning and machine leaning. Enjoy.
Publishing rhythm
I’m really excited about standard-readme, an amazing project by RichardLitt. It’s worth exploring! A standard style for README files
Check out lepture and their project python-livereload. livereload server in python
I recently discovered tqdm by tqdm, and it’s truly impressive. ⚡ A Fast, Extensible Progress Bar for Python and CLI
I’m really excited about cmder, an amazing project by cmderdev. It’s worth exploring! Lovely console emulator package for Windows
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. No description available.
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