Welcome to the course! Strings are one of the data types, representing textual data. As a data scientist, you should be able to work with such data.

Let's start our learning with defining strings. To define a string, put text within the single (`'text'`) or double quotation marks (`"text"`). Another way - is to use the `str` function with an expression you want to represent as a string. Usually, this function is used to convert an existing variable into a string.

> Note
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> There is no difference between using single or double quotation marks. But the text within the string must be surrounded by the same type of quotation marks (i.e. you can not use `"text'`).

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...

Creating a String

Solution