![]() On my machine, it’s more than 7 times faster. Tuples are the fastest data type to instantiate, particularly in the case of tuple literals: python3 -m timeit '(1,2,3)'ĥ0000000 loops, best of 5: 6.48 nsec per loopĥ000000 loops, best of 5: 44.4 nsec per loop ![]() Creating Python tuples is quick and easy- once you get the hang of it, you’ll be able to create them in no time! Everything else about working with nested tuples is similar to working with nested lists – we can index them, slice them, concatenate them, etc. We can create a nested tuple without using nested parentheses, but that is not recommended as it can be confusing for someone reading the code. Creating a nested tuple is similar to creating a nested list – we just have to specify additional nested parentheses enclosing the nested tuples. Tuples stored in other tuples as their elements are called nested tuples. For example, the tuple could have a nested tuple or a list as one of its elements. Tuples are often used to store data that should not be changed, such as the days of the week or the months of the year.īoth tuples and lists can contain nested data structures. ![]() Both tuples and lists can contain duplicate values. However, because tuples are immutable, attempting to modify a tuple will result in an error. Items in a tuple can be accessed using indexing, just like a list. Tuples are created by placing items inside parentheses, separated by commas. The main difference between tuples and lists is that tuples are immutable, meaning they cannot be changed. ListĪ Python tuple is a data structure in Python programming language similar to a list (a comma-separated list of values). Python tuples, while useful for quick and dirty data composition and in many cases, should be replaced with named tuples, dataclasses, or regular classes.
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