Diving Into Python: Chapter 7

Hello guys!

This article is the seventh part of this article series. This article explains lists and tuples in Python, the related operations and the functioning in detail using several examples and graphics. So let's explore it.

To get the theme of Python, kindly go through my previous articles:

Lists are one of the most valuable Data Types in programming language and so they are in Python. One can easily see that lists are somehow similar to arrays but still, there are a huge difference between both of these data types, which are that an array contains homogeneous (of the same data type) items whereas lists contain heterogeneous (of various data types) items. This can also be considered to be an advantage of lists over arrays.

Now let's get back to lists. Lists contain items separated the commas and enclosed in brackets "[ ]". The values stored in a list can be accessed using "[:]" (depending on their respective index).

A simple structure of accessing elements using indexes is:

Now let's go through some examples.

Output- Flipkart

Output- ['SnapDeal', 'Myntra', 'Junglee']

(Now let's have a look at some of the operations over lists).

You can concatenate elements of two lists using the "+" operator as we do in strings.

For repeating a list's elements twice or more we can use the "*" operator in the same fashion as we do in strings.