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Awesome Data Science with Python

r0f1 profile image Florian Rohrer ・1 min read

I have created a list of useful python packages for data science.

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Curated list of Python resources for data science.

Awesome Data Science with Python

A curated list of awesome resources for practicing data science using Python, including not only libraries, but also links to tutorials, code snippets, blog posts and talks.

Core

pandas - Data structures built on top of numpy.
scikit-learn - Core ML library.
matplotlib - Plotting library.
seaborn - Data visualization library based on matplotlib.
pandas_summary - Basic statistics using DataFrameSummary(df).summary().
pandas_profiling - Descriptive statistics using ProfileReport.
sklearn_pandas - Helpful DataFrameMapper class.
missingno - Missing data visualization.
rainbow-csv - Plugin to display .csv files with nice colors.

Environment and Jupyter

General Jupyter Tricks
Fixing environment: link
Python debugger (pdb) - blog post, video, cheatsheet
cookiecutter-data-science - Project template for data science projects.
nteract - Open Jupyter Notebooks with doubleclick.
papermill - Parameterize and execute Jupyter notebooks, tutorial.
nbdime - Diff two notebook files, Alternative GitHub App: ReviewNB.
RISE -…

Sometimes, I have also linked to Youtube Talks, other Github Repos that contain short examples, etc.

Want to contribute? Let me know.

Discussion

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Short examples are great in this space. Appreciate the list.