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Tutorial NumPy

George Karanikolas
Mobile Developer, IT Student
Updated on ・1 min read

What is NumPy?

Numpy is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays.

NumPy is often used along with packages like SciPy (Scientific Python) and Matplotlib (plotting library). This combination is widely used as a replacement for MatLab, a popular platform for technical computing. However, Python alternative to MatLab is now seen as a more modern and complete programming language.

Install NumPy

pip install numpy
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Import NumPy

import numpy as np
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Create Arrays

a = np.array([1,2,3])
b = np.array([(1.5,2,3), (4,5,6)], dtype = float)
c = np.array([[(1.5,2,3), (4,5,6)], [(3,2,1), (4,5,6)]], dtype = float)
d = np.array( [ [1,2], [3,4] ], dtype=complex )
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Print Arrays

>>> a = np.arange(6)                         # 1d array
>>> print(a)
[0 1 2 3 4 5]
>>>
>>> b = np.arange(12).reshape(4,3)           # 2d array
>>> print(b)
[[ 0  1  2]
 [ 3  4  5]
 [ 6  7  8]
 [ 9 10 11]]
>>>
>>> c = np.arange(24).reshape(2,3,4)         # 3d array
>>> print(c)
[[[ 0  1  2  3]
  [ 4  5  6  7]
  [ 8  9 10 11]]
 [[12 13 14 15]
  [16 17 18 19]
  [20 21 22 23]]]
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For many resources on NumPy or anything else on Python, check out Github:
https://github.com/SeijinD/Python-World/blob/master/main/extends_libraries/numpy.md

Discussion (1)

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zenulabidin profile image
Ali Sherief

This is a great writeup! 👍