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Arrays_numpy.ipynb  |
Arrays_numpy.md | Most common Array type in scientific computing which API is the de-facto standard |
After covering the background and scope of the library, we will have a look at severl basic aspects before moving on to prolonged exercises. There will be a general introduction with only one small breakout room. The following will be covered:
- basic comparison to the Python built-in
listtype - concept of vectorized operations
- basic functions (methods) for mathematical computation
- different data types (
dtypes) - the concept of boolean masks
- multidimensional arrays (tables) and their axes.