lists in python with examples - PrivacyWall

https://www.programiz.com/python-programming/list

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Python List (With Examples) - Programiz

In Python, lists allow us to store multiple items in a single variable. For example, if you need to store the ages of all the students in a class, you can do this task using a list. Lists are similar to arrays (dynamic arrays that allow us to store items of different data types) in other programming languages.

https://www.w3schools.com/python/python_lists.asp

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Python Lists - W3Schools

Lists are one of 4 built-in data types in Python used to store collections of data, the other 3 are Tuple, Set, and Dictionary, all with different qualities and usage. Lists are created using square brackets: Create a List: List items are ordered, changeable, and allow duplicate values.

https://realpython.com/python-list/

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Python's list Data Type: A Deep Dive With Examples

Python’s list is a flexible, versatile, powerful, and popular built-in data type. It allows you to create variable-length and mutable sequences of objects. In a list, you can store objects of any type. You can also mix objects of different types within the same list, although list elements often share the same type.

https://pythongeeks.org/python-lists/

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Python Lists with Examples

In Python, this is done using lists. Here we will discuss Python lists and their operations, built-in methods, etc. So, let’s not wait and start! Lists in Python of containers of values of different data types in contiguous blocks of memory. A list can have any data type, including list, tuples, etc., as its element.

https://www.geeksforgeeks.org/python-lists/

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Python Lists - GeeksforGeeks

In Python, a list is a built-in dynamic sized array (automatically grows and shrinks). We can store all types of items (including another list) in a list. A list may contain mixed type of items, this is possible because a list mainly stores references at contiguous locations and actual items maybe stored at different locations.

https://pythonbasics.org/list/

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Python Lists (With Examples) - Python Tutorial

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. Lists can hold all kinds of variables: integers (whole numbers), floats, characters, texts and many more.

https://pythonistaplanet.com/python-list-exercises/

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23 Python List Exercises and Examples – Pythonista Planet

In Python, a list is a data structure that stores a list of items in an arranged order. We can create a list by using square brackets with items inside and use commas to separate each item. In this post, I have compiled some examples of using lists in Python. I hope these examples would help you understand the working of lists in Python.

https://pythonexamples.org/python-list-operations/

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Python List Operations - Python Examples

In the following, you shall learn how to create lists in Python, like creating empty lists, creating list of specific data types, creating list of specify size, etc. The following tutorials cover how you could access items in a list in different ways, like accessing items in a list using index, accessing first or last item, etc.

https://www.datacamp.com/tutorial/python-list-function

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Python List Functions & Methods Tutorial and Examples

Python offers the following list functions: sort (): Sorts the list in ascending order. type (list): It returns the class type of an object. append (): Adds a single element to a list. extend (): Adds multiple elements to a list. index (): Returns the first appearance of the specified value.

https://dotnettutorials.net/lesson/lists-in-python/

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Lists in Python with Real-time Examples - Dot Net Tutorials

We can create a list in python by using square brackets ‘ []’. The elements in the list should be comma-separated. Example: Creating a list with elements (demo2.py) Output: You can observe from the output that the order is preserved and also duplicate items are allowed. It can contain mixed data types (strings, integers, boolean, None) elements.

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