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In Day 7 of our Python programming series, we focus on the versatile and powerful list data structure in Python. Lists are essential for handling collections of data efficiently, and understanding their methods can significantly enhance your programming skills. All explanations are provided in Tamil to facilitate easier learning for our Tamil-speaking audience.
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Video Chapters - Time Warp:
00:00:00 - Intro
00:00:40 - what to cover
00:01:09 - real time example
00:07:16 - explained conceptually
00:09:00 - index concept
00:17:30 - python collections
PREVIOUS PYTHON VIDEOS:
Day 1: Basic Data Types : • Python Class Tamil Day 1 || Basic Data Typ...
Day 2: Advanced Data Types and Operators : • Python Class Tamil Day 2 || Advanced Data ...
Day 3: Focus on Indentation : • Python Class Tamil Day 3 || Focus on Inden...
Day 4: Comments and Documentation : • Python Class Tamil Day 4 || Comments and D...
Day 5: Operator Precedence : • Python Class Tamil Day 5 || Operator Prece...
Day 6: List - Collection Data Type and List Slicing : • Python Class Tamil Day 6: List - Collectio...
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Lists in Python:
Indexing:
• Learn how to access elements in a list using their index positions. Understand zero-based indexing and how to retrieve specific items or ranges of items using slicing.
Ordered:
• Understand that lists maintain the order of elements as they are added. The sequence in which you insert items is preserved, which is crucial for tasks that rely on order.
Mutable:
• Discover how lists can be modified after their creation by adding, removing, or changing elements. Learn about various methods to manipulate lists such as append(), remove(), pop(), and extend().
Duplicate Elements:
• See how lists can contain duplicate elements and how to handle them. Learn about scenarios where duplicate elements are useful and how to manage them effectively.
Detailed Overview of Lists:
Creating Lists:
• Understand different ways to create lists, including using literals, comprehensions, and the list() constructor.
Accessing List Elements:
• Learn about accessing single elements, slicing lists to get sublists, and negative indexing to access elements from the end of the list.
Modifying Lists:
• Explore how to change the value of individual elements, insert new elements at specific positions, and remove elements by value or index.
List Methods:
• Get acquainted with essential list methods like sort(), reverse(), index(), count(), and how they help in managing list data.
Iterating Through Lists:
• Learn how to use loops to iterate through list elements, perform operations on each item, and use list comprehensions for concise and efficient list manipulation.
Examples and Practical Applications: Throughout the video, we provide practical examples to illustrate each concept. By working through these examples, you'll see how lists can be applied to real-world programming tasks, such as data processing, algorithm implementation, and more.
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