Python Hindi Lists, Tuples & Dictionaries- Part2
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Description
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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.
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Loops with Lists – Iterating through lists using
forandwhileloops, applying conditions inside loops, and usingenumerate()for index + value. -
List Comprehensions – Compact syntax for creating new lists from existing ones, filtering with conditions, and nested list comprehensions.
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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.
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Tuple Methods – Detailed explanation of tuple-specific methods:
count()andindex(), 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 usingdel,.pop(),.clear(). -
Dictionary Methods & Looping – Using
.keys(),.values(),.items(); iterating over keys, values, and pairs; practical use cases like word frequency counters.

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