Let's consider one more possible need when we need to replace some parts of the text.

Surely, Python can handle this. There is a built-in method `.replace` with 2 required arguments: `oldvalue` (what needs to be replaced) and `newvalue` (and replaced by what). For example, in the string **"Hello, world!"** we want to replace *world* by *friend*.

print("Hello, world!")
print("Hello, world!".replace('world', 'friend'))

> Note 
>
> - String is an immutable data type in Python, accordingly, the methods we will learn will not change value of string, and will only return a copy of the string.
>
> - You can apply `.replace` sequentially (`s.replace('a', 'b').replace('c', 'd')`).

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...

Replacing

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Replacing

Lösung