List Data Types in Python | Day 6 - Collection Data Type | Learn Python From Scratch

Опубликовано: 29 Сентябрь 2024
на канале: Code To Design

465

Dear Coder,
Day 6 - List Data Types in Python | Learn Python From Scratch | A Complete Guide To Python.

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Welcome to our comprehensive video on the Collection data types in Python! In this tutorial, we dive deep into the world of data types and explore one of the essential data type present in the python, a List Data Type.

Understanding data types is crucial for effective programming, as it determines how we represent and manipulate different kinds of information.
Join us as we uncover the characteristics and functionality of each data type.

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Welcome to our Python journey as we dive deep into the fascinating world of Collection data types! In this video, we explore list data typeand unlock the secrets they hold for us as Python programmers.

📜 Strings (str) - The Foundation of Textual Data 📜
We kick off our exploration by delving into the str data type. Discover how strings are not just a mere collection of characters but rather powerful entities with various methods for manipulation, formatting, and encoding. Learn about slicing, concatenation, and string interpolation techniques that will enhance your text-handling skills.

Throughout the video, we provide clear explanations and practical examples, allowing you to grasp the concepts easily. Whether you're a beginner or an experienced programmer, this tutorial will enhance your understanding of these Collection data types.

By the end of this video, you'll have a solid foundation in working list data types, empowering you to tackle a wide range of programming tasks.

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Timecodes
0:00 - Introduction
0:48 - Collection Data Type
1:01 - List Data Type
1:26 - Syntax of List Data Type
3:09 - Indexing and Slicing on list
4:52 - Is list mutable?
5:31 - Pre-defined function of list
6:10 - append( )
6:59 - insert( )
8:06 - copy( )
9:08 - remove( )
9:57 - pop( )
11:01 - clear( )
11:40 - index( )
12:45 - count( )
13:51 - reverse( )
14:32 - sort( )
15:35 - extend( )
16:35 - Nested List

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Join us on this exciting journey of exploring Python's fundamental data types.
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