Coding Ref

In Python, `numpy.linspace()`

is a function that is used to create a NumPy array of evenly spaced numbers over a specified interval.

This function is often used in mathematical and scientific calculations, as it allows you to easily generate a sequence of numbers that can be used as input to other functions or algorithms.

Here is the syntax for `numpy.linspace()`

:

```
numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None)
```

This function takes the following arguments:

`start`

: The starting value of the sequence.`stop`

: The ending value of the sequence.`num`

(optional): The number of evenly spaced values to generate. The default is`50`

.`endpoint`

(optional): Whether to include the stop value in the sequence. The default is`True`

, which means that the stop value will be included. If`False`

, the stop value will not be included.`retstep`

(optional): Whether to return the step size used to generate the sequence. The default is`False`

, which means that the step size will not be returned. If`True`

, the step size will be returned as the second element of the tuple returned by numpy.linspace().`dtype`

(optional): The data type of the array. This specifies the type of the array elements. The default is`None`

, which means that the data type will be inferred from the other arguments. You can also specify a specific data type, such as float for floating-point numbers or int for integers.

main.py

```
import numpy as np
# Create an array of evenly spaced numbers over the interval [0, 5] with 10 elements
numbers = np.linspace(0, 5, 10)
print(numbers) # [0. 0.56 1.12 1.68 2.24 2.8 3.36 3.92 4.48 5. ]
# Create an array of evenly spaced numbers over the interval [0, 5] with 5 elements
numbers = np.linspace(0, 5, 5)
print(numbers) # [0. 1.25 2.5 3.75 5. ]
# Create an array of evenly spaced numbers over the interval [2, 10] with 7 elements
numbers = np.linspace(2, 10, 7)
print(numbers) # [ 2. 3.6 5.2 6.8 8.4 10. ]
```

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