This tutorial will provide an introduction to the NumPy library intended for beginners.
NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.
This tutorial will provide an introduction to the NumPy library intended for beginners.
You are encouraged to type along with me. For this you bring your laptop with a Firefox 90+ or Chromium 89+ installed. We will work through this repository: https://github.com/maikia/numpy-demo
NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.
This tutorial will notably introduce the following aspects:
- n-dimensional arrays (`ndarray`)
- indexing of `ndarray`
- operations on `ndarray`
