Jake Vanderplas

Python Data Science Handbook. I wrote a free interactive textbook teaching data analysis with Python.

NFFT. I made a lightweight Python tool for processing irregularly-spaced data.

Static Widgets. I built interactive controls for Jupyter notebooks that anyone can click.

Scikit-learn PyCon 2013. I made a scikit-learn tutorial with notebooks and setup guides.

Asteroid Visualization. I created source materials for a Scientific American article on visualizing asteroids.

Altair Examples. I collected examples of charts built with Altair for people to learn from.

Bayesian Astronomy. I made a workshop teaching astronomers how to use probability to analyze space data.

Vanderplas. I made a personal website that auto-generates your CV as a PDF.

Lomb-Scargle Guide. I wrote an interactive guide to finding patterns in unevenly-spaced data.

Oslo Workshop 2014. I wrote a complete three-day course on data analysis and modeling.

Nufftpy. I wrote a pure Python implementation of the NUFFT algorithm.

Scientific Computing Course. I created a complete course teaching Python for science and math work.

JSAnimation. I built a tool that turns matplotlib animations into shareable HTML files.

Supsmu. I wrapped a decades-old smoothing algorithm to make it easy to use.

Astronomy 599. I created a complete course on scientific computing in Python.

WPCA. I made a data simplification tool that handles measurement errors automatically.

GitIntro. I wrote interactive Git tutorials that teach you by doing.

Pythonic Perambulations. I built a blog platform that publishes directly from Jupyter notebooks.

BinaryTree. I wrote a fast search tool that organizes data in tree structures.

Bicycle Data. I collected Seattle bike traffic and weather data for teaching data analysis.

Colab Snippets. I collected useful code snippets for Google Colaboratory.

State Data. I made spreadsheet files with US state data ready to combine.

Kdsphere. I built a tool that searches spherical data efficiently.

PyPropack. I built a fast matrix decomposition tool for large sparse datasets.

Pronto Data. I analyzed Seattle's bike-share data to find real patterns in how people commute.

Open Recipe Data. I collected and organized open recipe data for anyone to use.

Whirlwind Tour of Python. I wrote a guided tour through Python's essential building blocks.

Jupyter Workflow. I made a video guide for turning exploratory data work into reproducible analysis.

Python Lectures. I wrote a collection of Python teaching notebooks for self-paced learning.

Notebook Generator. I made a tool that builds data notebooks from code automatically.

Locality. I made a data compression tool that keeps relationships between similar items intact.

PyLLE. I built a fast Python tool for visualizing complex, high-dimensional data.

Travis Setup. I made a template that automates testing for Python projects on GitHub.

Scikit-learn Tutorial. I created hands-on lessons teaching machine learning to conference attendees.

Scikit-Learn Tutorial. I created a machine learning tutorial with working code examples.

ESAC Stats 2014. I wrote lecture notes teaching statistics with Python examples.

Scikit-learn Tutorial. I wrote interactive notebooks teaching machine learning with scikit-learn.

Scikit-Learn Tutorial. I created a hands-on tutorial for learning machine learning with real examples.

Scikit-learn Tutorial. I created a machine learning tutorial with notebooks and video.

CRFsuite. I made a tool that teaches software to understand and label text patterns.

Marathon Data. I collected and organized real marathon finishing time data from the web.

TreeCluster. I built a clustering tool that handles noisy data better than common alternatives.

Pythonic Perambulations. I wrote a blog exploring data science and Python through long-form essays.

Chart Basics. I wrote a tutorial that teaches you to make charts from data.

Wave Solver. I wrote a quantum particle simulator in Python.

Multiband Periodogram. I wrote a method to find hidden patterns in irregularly-timed observations.