Numpy

>>> # The standard way to import NumPy:
>>> import numpy as np

>>> # Create a 2-D array, set every second element in
>>> # some rows and find max per row:

>>> x = np.arange(15, dtype=np.int64).reshape(3, 5)
>>> x[1:, ::2] = -99
>>> x
array([[  0,   1,   2,   3,   4],
       [-99,   6, -99,   8, -99],
       [-99,  11, -99,  13, -99]])
>>> x.max(axis=1)
array([ 4,  8, 13])

>>> # Generate normally distributed random numbers:
>>> rng = np.random.default_rng()
>>> samples = rng.normal(size=2500)

Source: numpy.org

Similar codes

11 votes241 views3 answers
How to convert a list into string with \n
Python
0 vote260 views1 answer
Any and all in python3
Python
0 vote278 views1 answer
Django versatileimagefield
Python
0 vote255 views1 answer
Settings urls
Python
83 votes249 views3 answers
Deleting a file using python
Python
0 vote295 views2 answers
Matplotlib-Object oriented interface
Python
86 votes289 views6 answers
CSV.DictReader
Python
25 votes276 views6 answers
Import python module from another directory
Python
3 votes254 views1 answer
Convert epoch to date time in python
Python
1 vote246 views2 answers
Factors addition in pyhone
Python