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    Python lists are versatile data structures that allow you to store multiple items in a single variable. They are one of the four built-in data types in Python designed to store collections of data, with the others being Tuple, Set, and Dictionary. Each of these data types has unique properties and usage, but lists are particularly notable for their ordered, changeable, and duplicate-allowing nature.

    Creating and Accessing Python Lists

    Lists are created using square brackets, with items separated by commas. For example:

    mylist = ["apple", "banana", "cherry"]

    Items in a list are indexed, starting with zero for the first item. This means you can access list items using their index:

    print(mylist[0]) # Outputs: apple

    Lists can also contain items of different data types, including other lists, making them highly flexible.

    Modifying Lists

    Python lists are mutable, meaning you can change their content after creation. You can add items using methods like append(), insert(), or extend(). For instance:

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  3. Best and/or fastest way to create lists in python

    In python, as far as I know, there are at least 3 to 4 ways to create and initialize lists of a given size: Simple loop with append: my_list = [] for i in range(50): my_list.append(0) Simple loop with +=: my_list = []

     
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  10. python - How do I create a list with numbers between …

    Aug 16, 2013 · import numpy as np def generate_floating_numbers_in_range(start: int, end: int, step: float): """ Generate a list of floating numbers within a specified range.

  11. How to Create a List in Python [+5 Examples]

    Jan 30, 2024 · In this Python article, I will explain three different ways to create a list in Python such as using square brackets, list() type casting, and list comprehension with different elements of different data types, etc.

  12. Python | Create list of numbers with given range - GeeksforGeeks

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  17. Python Numpy arange () - Generate Values Array | Vultr Docs

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