In the previous chapter, we created a string-pattern, and then inserted variables within it. We did it in order. Another way to create a pattern string - is to predefine the order of inserting.

To do it, we need to specify **index** of element that should be inserted there. It's a bit obvious, but needs to be clarified: indexation in Python starts with 0, and all the indices within `{}` blocks must be consecutive (like, `{1} {0} {2}`, but not `{3} {0} {1}` as there is no 2). For example,

pattern = "{1} manipulation in {0}"
print(pattern.format('Python', 'String'))

Note, unless `'Python'` was written in the first place it was inserted within the last block (as `'Python'` is the first element, and has index 0). The same logic applies to `'string'`.

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...

String Manipulation in Python

Formatting with Ordering

Solution

Formatting with Ordering

Solution