To generate a random number from an interval in Python, you can use the random module. Here’s how you can do it for both integers and floating-point numbers:

Generating a Random Integer

To generate a random integer within a specific interval, you can use the randint function from the random module. For example, to generate a random integer between a and b (inclusive):

import random

a = 1
b = 10

random_integer = random.randint(a, b)
print(random_integer)

Generating a Random Floating-Point Number

To generate a random floating-point number within a specific interval, you can use the uniform function from the random module. For example, to generate a random float between a and b:

import random

a = 1.0
b = 10.0

random_float = random.uniform(a, b)
print(random_float)

Example Usage

Here is an example that combines both integer and float generation:

import random

# Generate a random integer between 5 and 15
random_integer = random.randint(5, 15)
print(f"Random Integer: {random_integer}")

# Generate a random float between 5.5 and 15.5
random_float = random.uniform(5.5, 15.5)
print(f"Random Float: {random_float}")

Using the random module for more complex intervals

If you need to generate a random number within a non-uniform distribution, you can use other functions from the random module, such as gauss, betavariate, or expovariate, depending on your specific requirements. Here is an example using gauss for a normal distribution:

import random

# Generate a random float with a mean of 0 and a standard deviation of 1
random_normal = random.gauss(0, 1)
print(f"Random Normal: {random_normal}")