a powerful python library for numerical computing, it provides support for large, multi-dimensional arrays and matrices, along with a collection of high-level mathematical functions to operate on these arrays.
hyperlinks to view notebooks
- introduction to numpy
- creating arrays
- indexing and slicing
- reshaping and resizing
- vectorized expressions
you can install numpy using either of the following methods:
# conda
conda install numpy# or PyPI
pip install numpythe source code is hosted on github: numpy gitHub
insights and summaries from the book: Robert, J. (2019). Numerical Python, 2nd Edition. Chiba: Apress