Generate random numbers with normal distribution

 1.Generate normal distribution data of Size 2 × 3

   from numpy import random
   x = random.normal(size=(2, 3))

2. Generate normal distribution with mean 250 and standard deviation 10

    from numpy import random
    x = random.normal(loc=250, scale=10, size=(2, 3))

Python Random Module

 import random

random.random() 

random.uniform(1, 10)

random.randint(1, 10)

random.randrange(0, 101, 2)

random.choice('abcdefghij') 

items = [1, 2, 3, 4, 5, 6, 7]

random.shuffle(items)

items

random.sample([1, 2, 3, 4, 5],  3)

Python may get pattern matching syntax

PEP 622 -- Structural Pattern Matching is PEP proposes adding pattern matching statements  to Python in order to create more expressive ways of handling structured heterogeneous data. The authors take a holistic approach, providing both static and runtime specifications.

Python program to open a web browser using webbrowser module

import webbrowser webbrowser.open('https://pythonforengineers.blogspot.com')  webbrowser.open_new('https://pythonforengineers.blogspot.com')  webbrowser.open_new_tab('https://pythonforengineers.blogspot.com')

PsychoPy - Precise enough for psychophysics

PsychoPy is a package for the generation of experiments for neuroscience and experimental psychology.It is designed to allow the presentation of stimuli and collection of data for a wide range of neuroscience, psychology, and psychophysical experiments