Coding Ref

`numpy.random.uniform()`

is a function in the Python numpy library that generates random numbers from a uniform distribution.

A uniform distribution is a distribution where all values have an equal probability of being drawn from the distribution.

The syntax for `numpy.random.uniform()`

is as follows:

main.py

```
numpy.random.uniform(low=0.0, high=1.0, size=None)
```

Here, `low`

is the lower bound of the interval from which the random numbers will be drawn, `high`

is the upper bound of the interval, and `size`

is the number of random numbers to generate.

All of these parameters are optional, with default values of `0.0`

for `low`

, `1.0`

for `high`

, and `None`

for `size`

.

Here are some examples of using numpy.random.uniform():

main.py

```
import numpy as np
# Generate 10 random numbers from a uniform distribution
# between 0 and 1 (the default range)
np.random.uniform(size=10)
# Generate 5 random numbers from a uniform distribution
# between 10 and 20
np.random.uniform(low=10, high=20, size=5)
# Generate 3 random numbers from a uniform distribution
# between -5 and 5
np.random.uniform(low=-5, high=5, size=3)
```

In each of these examples, numpy.random.uniform() generates random numbers from a uniform distribution within the specified range and returns them as a numpy array.

The array will have the specified number of elements, as determined by the size parameter.

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