Python: random library cheatsheet

From basic random number generation to advanced techniques like Gaussian distribution, discover how Python random library adds controlled randomness to Python projects.

The random library in Python provides functions and classes for generating random numbers and data.

random(): Generating a random floating-point number between 0 and 1.

random_num = random.random()

randint() : Generating a random integer within a specified range.

import random 
random_int = random.randint(start, end)

uniform(): Generating a random floating-point number within a specified range.

import random 
random_float = random.uniform(start, end)

choice():Selecting a random item from a sequence (list, tuple, string, etc.).

import random 
random_item = random.choice(sequence)

shuffle():Shuffling the elements of a list randomly. It change the list. It is an inplace operation. You cannot assign it a new variable.

import random 
random.shuffle(my_list)

sample(population,k):Chooses k unique random elements from a population sequence…