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.
All posts with the tag "github-stars"
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.
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 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 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 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