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-# Arrays
-
-In computer programming, an array is a structure for storing and retrieving data. We often talk about an array as if it were a grid in space, with each cell storing one element of the data. For instance, if each element of the data were a number, we might visualize a “one-dimensional” array like a list:
-
-| 1 | 5 | 2 | 0 |
-
-A two-dimensional array would be like a table:
-
-| 1 | 5 | 2 | 0 |
-| 8 | 3 | 6 | 1 |
-| 1 | 7 | 2 | 9 |
-
-A three-dimensional array would be like a set of tables, perhaps stacked as though they were printed on separate pages.
-
-- From [Numpy documentation](https://numpy.org/doc/2.2/user/absolute_beginners.html)
-
----
-
-In this tutorial we will be introducing arrays and we will be using the numpy library. Arrays, lists, vectors, matrices, sets - You might've heard of them before, they all store data. In programming, an array is a variable that can hold more than one value at a time. We will be using the Numpy python library to create arrays.
-
-Since we already have installed Numpy previously, we can start using the package.
-
-## Import Numpy
-When using packages in python, we need to let it know what package we will be using. This is called importing. To import numpy we need to declare it a the start of a script as follows:
-```
-import numpy as np
-```
-<code> import </code> calls for a library to use, in our case it is Numpy.
-<code> as </code> gives the library an alias in your script. It's common convention in Python programming to make the code shorter and more readable. We will be using *np* as it's a standard using in many projects.
-
-# Creating arrays
-Now that the script has been
-```
-
-```