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  1. Python List remove () Method - GeeksforGeeks

    May 1, 2025 · remove () removes the first occurrence of the specified element from the list. In the example, "b" is removed from the list ['a', 'b', 'c'], resulting in ['a', 'c'].

  2. Python List remove () Method - W3Schools

    Definition and Usage The remove() method removes the first occurrence of the element with the specified value.

  3. Python List remove () - Programiz

    In this tutorial, we will learn about the Python List remove () method with the help of examples.

  4. Remove an Item from a List in Python: remove, pop, clear, del

    Apr 17, 2025 · In Python, you can remove items (elements) from a list using methods such as remove(), pop(), and clear(). You can also use the del statement to delete items by index or …

  5. Python's `remove` Function: A Comprehensive Guide - CodeRivers

    Mar 16, 2025 · The remove function in Python is a useful tool for list manipulation. By understanding its fundamental concepts, proper usage methods, common practices, and best …

  6. remove () in Python - List Methods with Examples

    Discover the Python's remove () in context of List Methods. Explore examples and learn how to call the remove () in your code.

  7. Python List remove () Method - Online Tutorials Library

    Following is the syntax for the Python List remove () method −. obj − This is the object to be removed from the list. This Python list method does not return any value but removes the …

  8. removePython Function Reference

    Find out how the remove function works in Python. Remove the first item from the list whose value is equal to x.

  9. How to Remove an Item from a List in Python - DataCamp

    Aug 1, 2024 · In the first case, we can use the remove() function. We can also use the pop() function. We can also use the del keyword. In each of the above cases, the new list will be [1, …

  10. Python List Functions: A Complete Guide - PyTutorial

    Feb 4, 2026 · Master Python list functions with this guide covering append, sort, map, filter, and more to manipulate your data efficiently and effectively.