https://www.w3schools.com/python/python_lists.asp
Learn how to create and use lists, one of the four built-in data types in Python, to store multiple items in a single variable. Lists are ordered, changeable, and allow duplicates, and have various methods to manipulate them.

https://docs.python.org/3/tutorial/datastructures.html
Learn how to use lists as data structures in Python, with methods, operations, and comprehensions. See examples of list manipulation, sorting, reversing, and copying.

https://realpython.com/python-list/
Learn how to create, access, modify, sort, 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 tips.

https://www.geeksforgeeks.org/python-lists/
Learn how to create, access, modify, and use lists in Python, a sequence data type that can contain heterogeneous elements. See examples, methods, and complexities of lists with explanations and code snippets.

https://pythonbasics.org/list/
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. Lists can hold all kinds of variables: integers (whole numbers), floats, characters

https://www.programiz.com/python-programming/list
Learn how to create, access, modify and use lists in Python, a built-in data type that allows storing multiple items. Explore list methods such as append, insert, extend, remove and more with examples.

https://python.land/python-data-types/python-list
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, slice, reverse, and loop over lists with code examples and explanations.

https://www.freecodecamp.org/news/how-to-use-lists-in-python/
Learn how to create, access, modify, and manipulate lists in Python, a versatile and powerful data structure. See examples, explanations, and advanced concepts of lists in this article.

https://pynative.com/python-lists/
Python lists are ordered, mutable, heterogeneous, and can contain duplicates. Learn how to create, access, modify, and iterate lists using various methods, functions, and examples.

https://www.pythontutorial.net/python-basics/python-list/
Learn how to create, access, modify, add, and remove elements in a list, an ordered collection of items in Python. See examples of lists, list methods, and list operations.

https://www.freecodecamp.org/news/lists-in-python-comprehensive-guide/
Learn how to create, modify, and operate on lists in Python, a mutable built-in data structure similar to a shopping list. This tutorial covers indexing, slicing, looping, and list methods with examples and exercises.

https://www.learnpython.org/en/Lists
In this exercise, you will need to add numbers and strings to the correct lists using the "append" list method. You must add the numbers 1,2, and 3 to the "numbers" list, and the words 'hello' and 'world' to the strings variable. You will also have to fill in the variable second_name with the second name in the names list, using the brackets

https://datagy.io/python-list/
Learn how to create, access, modify, and use Python lists, a data collection type that can store heterogeneous and ordered data. See examples of list operations, slicing, indexing, and nested lists.

https://stackabuse.com/guide-to-lists-in-python/
Learn the basics and advanced techniques of lists, a fundamental and versatile data structure in Python. Find out how to create, access, modify, and manipulate lists with examples and best practices.

https://realpython.com/python-lists-tuples/
Learn the characteristics, definition, and manipulation of lists and tuples, two versatile and useful data types in Python. See examples, quizzes, and related videos to master these concepts.

https://pythongeeks.org/python-lists/
Learn how to create, access, slice, modify and perform operations on lists in Python. Lists are containers of values of different data types in contiguous blocks of memory.

https://developers.google.com/edu/python/lists
Learn how to create, access, modify, and use lists in Python, a built-in data type for storing ordered collections of elements. See examples of list methods, for/in loops, range function, and list slices.

https://www.datacamp.com/tutorial/python-list-function
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://www.w3schools.com/python/python_lists_methods.asp
Python has a set of built-in methods that you can use on lists. Method. Description. append () Adds an element at the end of the list. clear () Removes all the elements from the list. copy () Returns a copy of the list.

https://www.programiz.com/python-programming/methods/built-in/list
The Python list() constructor returns a list in Python. In this tutorial, we will learn to use list() in detail with the help of examples. Courses Tutorials Examples . Try Programiz PRO. Course Index Explore Programiz Python JavaScript SQL HTML R C C++ Java RUST Golang Kotlin Swift C# DSA.

https://blog.finxter.com/python-lists/
Python List Index Range. If you're looking for an index range, you're probably meaning slicing which is an advanced technique to carve out a range of values from a Python list or string. See the full slicing tutorial on the Finxter blog here. The notation is list[start:stop:step]. The step argument is optional and you don't need it to

https://www.geeksforgeeks.org/python-list-of-lists/
Create a List of Lists Using append () Function. In this example the code initializes an empty list called `list_of_lists` and appends three lists using append () function to it, forming a 2D list. The resulting structure is then printed using the `print` statement. Python.

https://www.geeksforgeeks.org/python-linked-list/
Example of the Linked list in Python. In this example, After defining the Node and LinkedList class we have created a linked list named "llist" using the linked list class and then insert four nodes with character data 'a', 'b', 'c', 'd' and 'g' in the linked list then we print the linked list using printLL() method linked list class after that we have removed some

https://www.kdnuggets.com/5-tips-for-writing-better-python-functions
5. Don't Return Lists From Functions; Use Generators Instead . It's quite common to write Python functions that generate sequences such as a list of values. But as much as possible, you should avoid returning lists from Python functions. Instead you can rewrite them as generator functions.

https://pll.harvard.edu/course/introduction-data-science-python
Data science is an ever-evolving field, using algorithms and scientific methods to parse complex data sets. Data scientists use a range of programming languages, such as Python and R, to harness and analyze data. This course focuses on using Python in data science. By the end of the course, you'll have a fundamental understanding of machine

https://www.w3schools.com/python/python_lists_access.asp
W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more.