Coding Ref

`numpy.arange()`

is a function in the NumPy library that returns an array containing evenly spaced values within a given range.

It is similar to the `range()`

function in Python, but it returns an array instead of a list, which allows it to be used with other NumPy functions.

Here is the syntax for numpy.arange():

```
numpy.arange(start, stop, step, dtype)
```

`start`

: The starting value for the sequence. This parameter is optional and the default value is`0`

.`stop`

: The end value for the sequence. This parameter is required and the returned array will include all values from start up to, but not including, stop.`step`

: The distance between consecutive values in the sequence. This parameter is optional and the default value is`1`

.`dtype`

: The data type of the returned array. This parameter is optional and the default value is int64.

Here are some examples:

main.py

```
import numpy as np
# Create an array with values from 0 to 9
a = np.arange(0, 10)
print(a) # prints [0 1 2 3 4 5 6 7 8 9]
# Create an array with values from 0 to 9, with a step size of 2
b = np.arange(0, 10, 2)
print(b) # prints [0 2 4 6 8]
# Create an array with values from 10 to 1, with a step size of -1
c = np.arange(10, 0, -1)
print(c) # prints [10 9 8 7 6 5 4 3 2 1]
```

In the first example, we create an array with values from 0 to 9, with a default step size of 1.

In the second example, we create an array with values from 0 to 9, with a step size of 2.

In the third example, we create an array with values from 10 to 1, with a step size of -1.

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