Introduction to Lists – Understanding lists as ordered, mutable collections. Creating lists, list syntax ([]), and storing multiple data types in a single list.

Accessing List Elements – Indexing, negative indexing, slicing (list[start:end:step]), retrieving sublists, and handling index errors.

List Methods (Manipulation) – Using append(), extend(), insert(), remove(), pop(), clear() with detailed coding examples.

List Methods (Searching & Sorting) – Using index(), count(), sort(), sorted(), reverse(), copy() with practical demonstrations.

List Operations & Membership Testing – Concatenation (+), repetition (*), membership (in, not in) with real-world coding use cases.

Nested Lists – Creating lists inside lists, accessing inner elements with double indexing, and looping through multi-dimensional lists.

Loops with Lists – Iterating through lists using for and while loops, applying conditions inside loops, and using enumerate() for index + value.

List Comprehensions – Compact syntax for creating new lists from existing ones, filtering with conditions, and nested list comprehensions.

Introduction to Tuples – Defining tuples (()), difference between tuples and lists (immutability), and when to use tuples.

Accessing Tuple Elements – Indexing, slicing, and unpacking tuples into variables with real coding exercises.

Tuple Methods – Detailed explanation of tuple-specific methods: count() and index(), and use of built-in functions (len(), max(), min(), sum()) on tuples.

Advanced Tuple Concepts – Nested tuples, immutability demonstration, and converting between tuples and lists (list() ↔ tuple()).

Introduction to Dictionaries – Creating dictionaries with {}, key-value pairs, uniqueness of keys, and comparison with lists/tuples.

Accessing & Modifying Dictionaries – Retrieving values (dict[key], .get()), adding new pairs, updating existing ones, deleting using del, .pop(), .clear().

Dictionary Methods & Looping – Using .keys(), .values(), .items(); iterating over keys, values, and pairs; practical use cases like word frequency counters.