There is a more advanced slicing technique that exists. It allows us to extract all the elements in a specific range with a specific step set.

To set this step, we need to put it as the third number after the second colon as follows: `s[start:end:step]`. Let's consider a simple example: given string `s`, and we want to understand what will be extracted after the following code execute: `s[1:10:2]`. This will extract each second element starting from index 1: 1, 3, 5, 7, 9.

As a data scientist or analyst, you will have to deal with different data types. The first thing that comes to mind - is numerical data, of course. But also you will have to deal with textual data often. In this course, you will dive into strings, that represent textual data in Python, and learn how to perform different manipulations with them.

In this section you will be introduced with the basic concepts of strings in Python, such as creating, indexing, and slicing.

In this section we will learn important strings methods, like .split, .count, .strip and so on...

In this section we will learn how to format strings, learn about f-string conception, replacing particular parts of strings, splitting string by lines and so on...

Advanced Slicing

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