NumPy is an open source mathematical and scientific computing library for Python programming tasks. The name NumPy is shorthand for Numerical Python. The NumPy library offers a collection of ...

Use NumPy's RNG to make random arrays for quick testing of stats functions. Generate normal data and set mean/std by adding and scaling; visualize with Seaborn. Run regressions and correlations ...

[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and was ...

While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead. Here are some ...

Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...