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Table of Contents
1. Generate random integers ( randint and randrange )
2. Generate random floating point numbers
3. Randomly select elements from the list
4. Disrupt the order of lists (shuffle)
5. Set random seeds (for reproducible results)
Home Backend Development Python Tutorial python random number example

python random number example

Jul 29, 2025 am 02:42 AM
programming language

Random.randint(a, b) generates random integers containing a and b, random.randrange(a, b, step) generates random integers starting from a, not including b, and can be set step size; 2. random.random() generates random floating point numbers between [0.0, 1.0), random.uniform(a, b) generates random floating point numbers in the interval [a, b]; 3. random.choice(seq) randomly selects an element from the sequence, random.choices(seq, k=n) can repeatedly select n, random.sample(seq, k=n) does not repeat; 4. random.shuffle(list) directly disrupts the order of the list and does not return the new list; 5. random.seed(n) sets a random seed so that subsequent random results can be reproduced. It is suitable for debugging and testing. All operations are implemented based on the random module. You need to import the module first. When using it, you need to pay attention to the boundary inclusion situation and whether the sampling is repeated. The above method covers the main common scenarios of random number generation in Python and can meet most daily programming needs.

python random number example

Generating random numbers is a very common operation in Python, mainly using the random module. Below are some commonly used examples covering common scenarios such as integers, floating point numbers, interval selection, etc.

python random number example

1. Generate random integers ( randint and randrange )

 import random

# Generate random integers between 1 and 10 (including 1 and 10)
num = random.randint(1, 10)
print(num)

# Generate random integers between 0 and 9 (not including 10)
num2 = random.randrange(0, 10)
print(num2)

randint(a, b) : both a and b contain
randrange(a, b) : contains a, not b, you can also add step size, such as randrange(0, 10, 2) only generates even numbers


2. Generate random floating point numbers

 # Generate random floating point number between 0.0 and 1.0 f = random.random()
print(f)

# Generate floating point numbers in the specified range, such as between 1.5 and 10.5 f2 = random.uniform(1.5, 10.5)
print(f2)
  • random() : Returns the number between [0.0, 1.0)
  • uniform(a, b) : Returns the floating point number in the interval [a, b]

3. Randomly select elements from the list

 colors = ['red', 'blue', 'green', 'yellow']

# Choose a random choice = random.choice(colors)
print(choice)

# Randomly select multiple (repeatable)
choices = random.choices(colors, k=3)
print(choices)

# Select multiple randomly (no duplicate)
sample = random.sample(colors, k=2)
print(sample)
  • choice() : choose one
  • choices() : Repeatable sampling
  • sample() : No repeated sampling, k cannot be greater than the list length

4. Disrupt the order of lists (shuffle)

 numbers = [1, 2, 3, 4, 5]
random.shuffle(numbers) # Scramble in place and do not return the new list print(numbers)

Note: shuffle directly modifys the original list and does not return the new list.

python random number example

5. Set random seeds (for reproducible results)

 random.seed(42) # Set seed print(random.randint(1, 100)) # The result is the same for each run

In debugging or experimenting, setting seed can make random numbers "predictable" and facilitate testing.


Basically these common operations. The random module is simple and practical, suitable for most daily needs. Not complicated but it is easy to ignore details, such as whether the boundary is contained, whether it is repeatable, etc.

python random number example

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