Arrays in Python | Python Arrays | Python Arrays tutorial | Python array class

Arrays in Python – What are Python Arrays and how to use them?

Arrays in Python are Data Structures that can hold multiple values of the same type. Often, they are misinterpreted as lists or Numpy Arrays. Technically, Arrays in Python are distinct from both these. So let’s go ahead, and see what are Arrays in Python and how to implement .

Here’s an overview of the topics which explains all the aspects dealing with arrays:

Why use Arrays in Python?

What is an Array in Python?

Is Python list same as an Array?

Creating an Array in Python

Accessing an Element in Python

How do you Find the Length of an Array?

Basic Array Operations Adding/ Changing elements of an Array Concatenation

Deleting / Removing elements from an Array

Looping through an array

Slicing

You may go through the webinar recording of Python Arrays where our Python training expert has explained the topics in a detailed manner with examples that will help you to understand all concepts related to Python Arrays.

Arrays In Python | Python Array Operations Why use Arrays in Python?

A combination of Arrays, together with Python could save you a lot of time. As mentioned earlier, arrays help you reduce the overall size of your code, while Python helps you get rid of problematic syntax, unlike other languages. For example: If you had to store integers from 1-100, you won’t be able to remember 100 variable names explicitly, therefore, you can save them easily using an array.

What is an Array in Python? An array is basically a data structure which can hold more than one value at a time. It is a collection or ordered series of elements of the same type. We can loop through the array items easily and fetch the required values by just specifying the index number. Arrays are mutable(changeable) as well, therefore, you can perform various manipulations as required.

Now, there is always a question that comes up to our mind –

Is Python list same as an Array? Python Arrays and lists are store values in a similar way. But there is a key difference between the two i.e the values that they store. A list can store any type of values such as intergers, strings, etc. An arrays, on the other hand, stores single data type values. Therefore, you can have an array of integers, an array of strings, etc.

Python also provide Numpy Arrays which are a grid of values used in Data Science. You can look into Numpy Arrays vs Lists to know more.

Creating an Array in Python: Arrays in Python can be created after importing the array module as follows –

→ import array as arr

The array(data type, value list) function takes two parameters, the first being the data type of the value to be stored and the second is the value list. The data type can be anything such as int, float, double, etc. Please make a note that arr is the alias name and is for ease of use. You can import without alias as well. There is another way to import the array module which is –

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