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  1. Let’s take a look at some examples: >>> my_list = [1, 2, 3] >>> my_list2 = ["a", "b", "c"] >>> my_list3 = ["a", 1, "Python", 5] The first list has 3 integers, the second has 3 strings and the third has a mixture. You can also create lists of lists like this:

    • Chapter 4

      Let’s break this down a bit. The first line asks the user...

  2. 28 Φεβ 2024 · Python provides us with a number of in-built data structures such as lists, tuples, sets, and dictionaries that are used to store and organize the data in an efficient manner. In this article, we will learn the difference between them and their applications.

  3. Python Lists Vs Tuples (With Examples) Lists and Tuples store one or more objects or values in a specific order. The objects stored in a list or tuple can be of any type including the nothing type defined by the None Keyword. Lists and Tuples are similar in most context but there are some differences which we are going to find in this article.

  4. Lists and tuples are arguably Pythons most versatile, useful data types. You will find them in virtually every nontrivial Python program. Here’s what you’ll learn in this tutorial: You’ll cover the important characteristics of lists and tuples. You’ll learn how to define them and how to manipulate them.

  5. Interactive Quiz ⋅ 8 Questions. By David Amos. In this chapter, you’ve met three new and important data structures: Lists. Tuples. Dictionaries. All three of these data types are containers, meaning they are objects that “contain” other objects.

  6. 31 Οκτ 2021 · >>> some_list = [4, 6, 7, 3, 2, 10, 4] >>> some_tuple = (4, 6, 7, 3, 2, 10, 4) >>> some_list[3]

  7. 22 Μαρ 2021 · Python sequence and mapping data types and use cases. List, Tuple, Set, Dictionary are some of the most commonly used data types in python.

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