NumPy is Python's fundamental package for scientific computing. It is a 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.

NumPy is used at the core of many popular packages in the world of Data Science and machine learning.

Learning NumPy

NumPy examples

Many examples of NumPy usage can be found at

from numpy import *

from PIL import Image

ar = ones((100,100),float32)

ar = ar * 100

for i in range(0,100):
    ar[i,:] = 100 + (i * 1.5)

im = Image.fromarray(ar,"F")

NumPy (last edited 2023-05-05 12:42:41 by eriky)

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