python-scipyHow can I use Python Scipy to generate random numbers?

Scipy is a python library that contains a variety of modules for scientific computing. It provides functions for generating random numbers from various distributions.

One way to generate random numbers using Scipy is to use the scipy.stats.uniform function. This function will generate random numbers from a uniform distribution between two given numbers.

For example, to generate 10 random numbers between 1 and 10, you can use the following code:

from scipy.stats import uniform

# Generate 10 random numbers between 1 and 10
rand_nums = uniform.rvs(size=10, loc=1, scale=10)
print(rand_nums)

Output example

[7.81910238 4.7351252  5.52031802 8.72389741 8.81722884 5.71712097
 2.08716585 8.96568159 9.1212093  7.94477239]

The code above consists of the following parts:

1. from scipy.stats import uniform: This imports the uniform module from the scipy.stats library.
2. uniform.rvs(size=10, loc=1, scale=10): This generates 10 random numbers from a uniform distribution between 1 and 10. The size argument is used to specify the number of random numbers to generate, the loc argument is used to specify the lower limit of the range, and the scale argument is used to specify the upper limit of the range.
3. print(rand_nums): This prints the generated random numbers.

For more information about generating random numbers using Scipy, see this page.

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