This repository is meant to be a growing collection of interesting and useful algorithms implemented in Python and presented in IPython notebooks. IPython notebooks, because they offer a convenient way for describing the algorithm, benchmarking, maybe even visualization, and eventually sharing and viewing.
If you have any suggestions or want to make additions, I would be very happy if you could send me
- an email,
- leave me a message on google+,
- or even send me a tweet on twitter (given you can fit it within the 140 character limit ;)).
- Or even better: It would be great if you would simply fork this project and send me a pull request.
- Sorting Algorithms [ IPython nbviewer ]
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Linear regression via the least squares fit method [ IPython nbviewer ]
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Dixon's Q test to identify outliers for small sample sizes [ IPython nbviewer ]
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Rejection sampling [ IPython nbviewer ]
- Sequential Selection Algorithms [ IPython nbviewer ]
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Counting points inside a hypercube [ IPython nbviewer ]
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Vectorizing a classic
for-loop in NumPy for calculating Euclidean distances [ IPython nbviewer ]