# NumPy: Generate a random number between 0 and 1

## NumPy: Basic Exercise-17 with Solution

Write a NumPy program to generate a random number between 0 and 1.

This NumPy program generates a random number between 0 and 1. By utilizing NumPy's random number generation functions, it efficiently produces a floating-point number within the specified range. This program demonstrates the ease of generating random values using NumPy's built-in capabilities.

**Sample Solution** :

**Python Code :**

```
# Importing the NumPy library with an alias 'np'
import numpy as np
# Generating a random number from a normal distribution with mean 0 and standard deviation 1 using np.random.normal()
rand_num = np.random.normal(0, 1, 1)
# Printing a message indicating a random number between 0 and 1
print("Random number between 0 and 1:")
# Printing the generated random number
print(rand_num)
```

Output:

Random number between 0 and 1: [-1.15262276]

**Explanation:**

In the said code -

The np.random.normal() function generates a random number from a normal distribution with a mean (loc) of 0 and a standard deviation (scale) of 1. The third argument, 1, specifies the number of random numbers to generate, which is a single number in this case.

Finally print(rand_num) prints the generated random number to the console. The output will vary each time the code is executed due to the random nature of the function.

**Visual Presentation:**

**Python-Numpy Code Editor:**

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