Python Programming Training Certification
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Course Overview
Python is one of the world’s top programming languages used today and Python training has become the most popular training across individuals. Training Basket’s Python Training & Certification course covers basic and advanced Python concepts and how to apply them in real-world applications.Python is a flexible and powerful open-source language that is easy to learn and consists of powerful libraries for data analysis and manipulation. Our Python training course content is curated by experts as per the standard Industry curriculum. The curriculum, coding challenges and real-life problems cover data operations in Python, strings, conditional statements, error handling, shell scripting, web scraping and the commonly used Python web framework Django. Take this Python training and certification course and become job-ready now.
Python Random module
The Python random module functions depend on a pseudo-random number generator function random(), which generates the float number between 0.0 and 1.0.
There are different types of functions used in a random module which is given below:
random.random()
This function generates a random float number between 0.0 and 1.0.
random.randint()
This function returns a random integer between the specified integers.
random.choice()
This function returns a randomly selected element from a non-empty sequence.
Example
-
# importing “random” module.
import random
# We are using the choice() function to generate a random number from
# the given list of numbers.
print (“The random number from list is : “,end=””)
print (random.choice([50, 41, 84, 40, 31]))
Output:
- The random number from list is : 84
random.shuffle()
This function randomly reorders the elements in the list.
random.randrange(beg,end,step)
This function is used to generate a number within the range specified in its argument. It accepts three arguments, beginning number, last number, and step, which is used to skip a number in the range. Consider the following example.
-
# We are using randrange() function to generate in range from 100
# to 500. The last parameter 10 is step size to skip
# ten numbers when selecting.
import random
print (“A random number from range is : “,end=””)
print (random.randrange(100, 500, 10))
Output:
- A random number from range is : 290
random.seed()
This function is used to apply on the particular random number with the seed argument. It returns the mapper value. Consider the following example.
-
# importing “random” module.
import random
# using random() to generate a random number
# between 0 and 1
print(“The random number between 0 and 1 is : “, end=””)
print(random.random())# using seed() to seed a random number
random.seed(4)
Output:
- The random number between 0 and 1 is : 0.4405576668981033
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