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

34 votes102 views6 answers
How to update a python package
Python
0 vote101 views1 answer
Creating a record in python
Python
7 votes106 views1 answer
Pip pickle
Python
0 vote96 views1 answer
Rasperry pi camera
Python
0 vote101 views1 answer
First line of input contains integer N (size of the array) Second line contains N space seperated integers (elements of the array) Third line contains two integers L and R. (L<=R)
Python
0 vote104 views1 answer
Mat.at(row,col) Opencv
Python
1 vote90 views2 answers
Python Non-UTF-8 code starting with
Python
1 vote105 views2 answers
Java Array objects
Python
0 vote96 views1 answer
Blender change text during animation
Python
0 vote104 views1 answer
Gtk entry focus python
Python