How about more complex arrays? What is a one-dimensional array?

**One-dimensional array** is a table of elements, **all of the same type**, indexed by sequences of natural numbers. Let's take a look at the example of creating a 1-D array:

import numpy as np

# Creating array
arr = np.array([1, 2, 0, 0])

# Displaying array
print(arr)

 > Note the syntax for creating a 1-dimensional array. Unlike a 0-dimensional array, here we need to call the `np.array()` function and enclose your 1-dimensional array in parentheses, which is enclosed in square brackets. Like this example: `np.array([value1, value2, value3])`.

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In this section we will get acquainted with what the NumPy library is, as well as learn how to create an array.

In this section we will get acquainted with arrays of different dimensions, and understand the difference between them.

In this section we should recall what slices are and learn how to make them for arrays of different dimensions. We shall also learn to refer to elements in an array using their indexes.

In this section we will learn how to reshape arrays and also how to concatenate an array. Moreover we will learn how to sort an array. Also we will learn about such an interesting method that is often used for arrays, namely: copy().

NumPy in a Nutshell

1-D Arrays

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