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Function array()

Course Content

# NumPy in a Nutshell

NumPy in a Nutshell

## Function array()

In fact, there are various functions in NumPy for creating arrays. Now, we'll explore one of the most commonly used ones, namely `np.array()`. Below, you'll find an example of how to use this function:

Let's now determine the type of object that this function creates. We can do this using the well-known function `type()`.

Note

The `type()` function takes an object of any type and returns its type. The argument can indeed be of any type: number, string, list, dictionary, tuple, function, class, module, etc.

We can see the type of the created array is `ndarray`. But what does that mean? ndarray - This object is a multidimensional homogeneous array with a predetermined number of elements.

Now it's time to practice!

1. You have to create two NumPy arrays. The first one should look like this: `[65, 2, 89, 5, 0, 1]` and the second one should look like this: `[1, 2, 3]`.