Introduced a new section explaining how to sort lists in Python using sort() and sorted(), including examples for ascending, descending, case-insensitive, and custom key sorting. Added explanations, code samples, and tips to clarify the differences between in-place and returned sorted lists.

Introduced a new section explaining different ways to copy lists in Python, including using copy(), list(), and the pitfalls of using '='. Added code examples and tips to clarify the differences between shallow copies and references.

Introduced a new section demonstrating multiple ways to join lists in Python, including using the + operator, append() in a loop, extend(), and list comprehensions. Each method includes code examples and explanations to help beginners understand different approaches to merging lists.

Introduced a new section explaining Python nested lists, including how to create, access, loop through, and modify them. Added code examples, explanations, and tips for working with nested lists, making the notebook more comprehensive for beginners.

Expanded the lists guide with examples and explanations of 2D (nested) list comprehensions, including creating a 2D grid, building a multiplication table, and flattening a 2D list. Also added summary tips and a quick reference table for Python list methods.

Updated the introductory section to clarify list properties (ordered, mutable, allows duplicates) and simplified the explanation. Removed unnecessary import and updated the code example for better clarity.

Introduces a Jupyter notebook covering Python tuples, including creation, single-item tuples, indexing, looping, membership checks, length, mixed data types, and tuple constructors. Includes code examples and explanations for beginners.

Added recent work items to .idea/workspace.xml to reflect updated task activity.

Expanded the tuples guide with examples and explanations on how to update, add, and remove items from tuples using list conversion and tuple concatenation. Also improved code output messages and added tips for working with immutable tuples.

Expanded the tuples guide with explanations and examples of tuple unpacking, including basic unpacking, use of the asterisk for collecting values, and related tips. Added code cells and markdown to illustrate unpacking techniques and common pitfalls.

Expanded the tuples guide with examples and explanations for looping through tuples using for loops, index-based iteration, and enumerate(). This addition helps beginners understand how to iterate over tuples and when to use each technique.

Expanded the tuples guide with examples and explanations for joining tuples using the + operator, joining multiple tuples, and repeating tuples with *. Also added a section on tuple methods, including count() and index(), with code examples and tips.

Introduces a new Jupyter notebook covering Python sets, including creation, properties, adding/removing items, and common set operations with code examples and explanations for beginners.