In this sample program, you will learn to generate random integer numbers and show the result using the print() function.

## Write a Python Program to Generate a Random Integer

To understand this demo program, you should have the basic Python programming knowledge:

### Steps to Generate a Random Integer

In the sample below, we are taking the following two inputs from the user and storing them in two different variables.

- Total number of random numbers to generate
- The Upper Limit for the random numbers

To generate random integer numbers, you can use Python’s ** random** module and one of its functions known as the

**.**

`randint()`

#### Import the `random`

module

To get started, you need to import the `random`

module. This module offers a range of functions for generating random data. Import it at the beginning of your Python script like this:

import random

To generate multiple random numbers, you should call the `randint()`

inside a Python for loop.

#### Generating a single random integer

The most straightforward way to generate a single random integer is to use the `random.randint()`

function. It takes two arguments: the lower and upper bounds for the generated number (inclusive). Here’s an example:

import random

# Find a random integer between 3 and including 333

random_number = random.randint(3, 333)

print("Random Integer:", random_number)

#### Sample code: Generate random integer numbers

# Program to generate random integer numbers

# Import Random Module

import random

count = int(input("How many random numbers do you want to generate? "))

rmax = int(input("Enter Upper Limit for the random numbers: "))

for r in range(count):

print(random.randint(0, rmax))

The output of the above code is as follows:

How many random numbers do you want to generate? 10 Enter Upper Limit for the random numbers: 1000 703 153 247 481 971 505 794 589 968 126

#### Generating random integers within a range

Suppose you need random integers within a specific range. In that case, you can use the `random.randrange()`

function, which takes three arguments: `start`

, `stop`

, and `step`

. The `start`

/ `step`

arguments are optional.

Here’s an example that generates random integers between 10 and 50 (inclusive) with a step of 5:

import random # Generate random integers between 10 and 50 (inclusive) with a step of 5 for _ in range(10): random_number = random.randrange(10, 55, 5) print("Random Integer:", random_number)

In this code, `random.randrange(10, 55, 5)`

will yield random integers between 10 and 55 (inclusive) with intervals of 5.

#### Generating random integers with a random range

To add an element of surprise, you can generate random integers within a dynamically determined range. Here’s how:

import random

# Determine a random range for the random integers

lower_bound = random.randint(1, 10)

upper_bound = random.randint(11, 20)

# Generate a random integer within the determined range

random_number = random.randint(lower_bound, upper_bound)

print("Lower Bound:", lower_bound)

print("Upper Bound:", upper_bound)

print("Random Integer within Range:", random_number)

In this example, `lower_bound`

and `upper_bound`

are randomly defined, and a random integer is generated within that range.

#### Using random choices from a seq

In some cases, you might want random integers selected from a predefined sequence of values. The function`random.choice()`

is perfect for this:

import random # Define a list of possible random integer values integer_list = [10, 20, 30, 40, 50] # Generate a random integer from the list random_number = random.choice(integer_list) print("Random Integer from List:", random_number)

This code snippet will pick a random integer from the `integer_list`

.

### Seeding for Reproducibility

By default, Python’s random module generates pseudorandom numbers. If you want to reproduce the same sequence of random numbers in the future, you can set a seed using `random.seed()`

. This is especially useful for debugging and testing. Here’s an example:

import random # Set a seed for reproducibility random.seed(42) # Generate random integers for _ in range(5): random_number = random.randint(1, 100) print("Random Integer:", random_number)

In this example, setting the seed to 42 ensures that the same sequence of random integers will be generated each time the script is run.

### Where to use random numbers?

Random integer numbers are useful in a variety of Python applications. For example, they play an important role in creating games, simulations, and statistical models.

Here are a few examples of how you can use random integer numbers in Python applications:

**Create a dice game:**You can use the`randint()`

function to generate random numbers between 1 and 6 to simulate the roll of a die.**Create a random number generator:**The`randint()`

function can also be used to create a random number generator for a variety of purposes, such as generating passwords or creating random samples of data.**Create a simulation:**You can use random integer numbers to create simulations of real-world issues such as to simulate the spread of a disease or the growth of a population.**Create a statistical model:**You can use random integer numbers to generate statistical models from real-world data. For example, you can build a model to show the income of a group or to visualize customer data that visits a store each day.

### Before you leave

Congratulation. Today, you have learned different ways to generate random integers in Python. This is a common task in many applications. Python’s `random`

module simplifies this process.

On top of it, we taught you how to set a seed value so that you can always produce the same sequence of random numbers. It is sometimes required for testing and debugging purposes.

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**Enjoy coding,TechBeamers.**