One more possible task is to split the string into separate words or into separate sentences.

Surely, Python can deal with that. Use `.split` method with separator as an argument (space by default). It will return a **list** of splits. This function also has the second argument `maxsplit` defining the number of splits to do (by default - maximum possible).  For example,

print("Python, R, SQL".split(', '))
print("Hello. My name is John. I'm 31 y/o. Nice to meet you.".split('. '))

By default, this method works from left to right. Like for `.strip` method, there is `.rsplit` method that works from right to left.

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...

Splitting

Ratkaisu

Splitting

Ratkaisu