DailyNumpy is a website for learning about Numpy, Scipy, and related libraries. Every day (or as often as I can manage), I will create a little IPython notebook that shows how to use some functionality in Numpy. The goal is to have a useful small tutorial that someone can read while sipping their morning coffee.
Each tutorial will be rated Novice, Intermediate, or Advanced. Most things will Novice or Intermediate, and those functions will be prioritized over Advanced functionality.
- Creating new arrays
- Creating random arrays
- Shapes & reshaping
- Data types
- Loading from files
- Matrices
- Stacking arrays
- Record arrays
- Memory maps
- Histograms & bins
- Searching for values
- Filtering idioms
- Basic timeseries
- Special matrices
- Really big arrays
- Fitting data
- Testing & numpy code
- NumExpr
- Cython
- Numba