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Attend our Free Webinar on How to Nail Your Next Technical Interview

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How To Nail Your Next Tech Interview

Hosted By
Ryan Valles
Founder, Interview Kickstart
Our tried & tested strategy for cracking interviews
How FAANG hiring process works
The 4 areas you must prepare for
How you can accelerate your learnings

Random Numbers in Python

Attend our Free Webinar on How to Nail Your Next Technical Interview

WEBINAR +LIVE Q&A

How To Nail Your Next Tech Interview

Hosted By
Ryan Valles
Founder, Interview Kickstart
Our tried & tested strategy for cracking interviews
How FAANG hiring process works
The 4 areas you must prepare for
How you can accelerate your learnings

Random Numbers in Python

# Random numbers in Python Random numbers play a major role in computing, from cryptography and security to games and gambling. It is thus important for a programmer to be able to generate random numbers in their code. In Python, this is possible using the random module, which contains a variety of functions for generating random numbers. In this article, we will be exploring the different methods available in the Python random module and how to use them effectively. The random module in Python is part of the standard library and contains various functions for generating random numbers. The primary function used to generate random numbers is the `random()` function. This function will generate a number between 0 and 1, which is then used to generate random numbers in a range or sequence. Other functions in the module can also be used to generate random integers, floating-point numbers, sequences, and even sets of random numbers. In addition to the `random()` function, the Python random module also contains functions for generating pseudo-random numbers. These functions use an algorithm to generate random numbers that appear to be random, but are actually generated using a predetermined sequence. Examples of such functions include `randint()`, `randrange()`, `sample()`, and `shuffle()`. The random module also contains functions for generating distributions of random numbers. This includes functions such as `normalvariate()`, `expovariate()`, `gammavariate()`, `lognormvariate()`, and `weibullvariate()`. These functions are useful for generating random numbers from a specific probability distribution. Lastly, the random module also contains a set of functions for generating random strings. These functions are useful for generating passwords and other random strings that need to be secure. Examples of such functions include `choice()`, `choices()`, and `sample()`. In conclusion, the random module in Python provides a variety of functions for generating random numbers and strings. These functions can be used to generate random numbers and strings for a variety of purposes, such as security, gaming, and gambling.

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The algorithm for generating random numbers in Python is a simple four-step process. 1. Import the Random module: To generate random numbers, first we must import the random module. This can be done using the following code: ``` import random ``` 2. Specify the range: We must then specify the range of numbers that we want to generate. For example, to generate a random integer between 1 and 10, we can use the following code: ``` rand_int = random.randint(1, 10) ``` 3. Generate a random number: To generate a random number, we use the randint() function. For example, to generate a random integer between 1 and 10, we can use the following code: ``` rand_int = random.randint(1, 10) ``` 4. Print the random number: We can then print the random number using the print() function. For example: ``` print(rand_int) ```