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  1. www.w3schools.com › python › python_listsPython Lists - W3Schools

    Learn how to create, access and modify lists in Python, one of the four built-in data types for storing collections of data. Lists are ordered, changeable and allow duplicates, and can contain different data types.

    • 11 min
    • Creating a List in Python. Lists in Python can be created by just placing the sequence inside the square brackets[]. Unlike Sets, a list doesn’t need a built-in function for its creation of a list.
    • Accessing elements from the List. In order to access the list items refer to the index number. Use the index operator [ ] to access an item in a list. The index must be an integer.
    • Getting the size of Python list. Python len() is used to get the length of the list. Python3. List1 = [] print(len(List1)) List2 = [10, 20, 14] print(len(List2))
    • Taking Input of a Python List. We can take the input of a list of elements as string, integer, float, etc. But the default one is a string. Example 1: Python3.
    • Create a Python List. We create a list by placing elements inside square brackets [], separated by commas. For example, # a list of three elements ages = [19, 26, 29] print(ages) # Output: [19, 26, 29]
    • Access List Elements. Each element in a list is associated with a number, known as a list index. The index always starts from 0, meaning the first element of a list is at index 0, the second element is at index 1, and so on.
    • Add Elements to a Python List. We use the append() method to add elements to the end of a Python list. For example, fruits = ['apple', 'banana', 'orange'] print('Original List:', fruits)
    • Change List Items. We can change the items of a list by assigning new values using the = operator. For example, colors = ['Red', 'Black', 'Green'] print('Original List:', colors)
  2. Learn how to create, access, modify, and use lists in Python, a flexible and versatile built-in data type. This tutorial covers the key features, operations, and use cases of lists with code examples and exercises.

  3. Jun 24, 2024 · Learn everything you need to know about Python lists, one of the most used data structures in Python. See how to create, access, modify, sort, loop over, slice, and reverse lists with code examples.

  4. Python Lists (With Examples) List can be seen as a collection: they can hold many variables. List resemble physical lists, they can contain a number of items. A list can have any number of elements. They are similar to arrays in other programming languages.

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  6. Mar 1, 2024 · Learn how to create, access, modify, and manipulate lists in Python, a versatile and powerful data structure. See examples, syntax, and advanced concepts with code and explanations.

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