![]() These are two similar composite data types that are prototypical examples of iterables in Python. Many of these methods return either a list or a tuple. You will explore the inner workings of iterables in much more detail in the upcoming tutorial on definite iteration. These methods operate on or return iterables, the general Python term for a sequential collection of objects. Methods in this group convert between a string and some composite data type by either pasting objects together to make a string, or by breaking a string up into pieces. zfill ( 6 ) '000foo' Converting Between Strings and Lists You can do this with a straightforward print() statement, separating numeric values and string literals by commas: ![]() You can specify a variable name directly within an f-string literal, and Python will replace the name with the corresponding value.įor example, suppose you want to display the result of an arithmetic calculation. One simple feature of f-strings you can start using right away is variable interpolation. There is also a tutorial on Formatted Output coming up later in this series that digs deeper into f-strings. If you want to learn more, you can check out the Real Python article Python 3’s f-Strings: An Improved String Formatting Syntax (Guide). The formatting capability provided by f-strings is extensive and won’t be covered in full detail here. This feature is formally named the Formatted String Literal, but is more usually referred to by its nickname f-string. ![]() In Python version 3.6, a new string formatting mechanism was introduced. ![]() s = 'If Comrade Napoleon says it, it must be right.' > s '.thgir eb tsum ti ,ti syas noelopaN edarmoC fI' Interpolating Variables Into a String ![]()
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