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🐍 Welcome to the series of "Everything you need to know about python: In simplest possible way" 🐍

🔍 List Indexing Part:
Discover the art of accessing individual elements within a list and uncover the power of Python's indexing capabilities.

📌 Topics Covered:
1️⃣ Accessing Elements: Learn how to access elements within a list, the building blocks of Python data structures.

2️⃣ Positive Indexing: Master the basics of positive indexing and access list elements by their positions.

3️⃣ Negative Indexing: Dive into negative indexing and unveil the magic of counting elements from the end of the list.

4️⃣ Nested Lists: Explore nested lists and unlock the secrets of accessing elements within them.

5️⃣ Iterables in Lists: Understand how to access elements of iterable objects stored within a list.

🔪 List Slicing Part:
Take your Python slicing skills to the next level, allowing you to extract ranges of values effortlessly.

📌 Topics Covered:
1️⃣ Getting Ranges: Learn how to extract specific ranges of values from a list using slicing techniques.

2️⃣ Start, Stop, Step: Harness the power of start, stop, and step values to control precisely what you extract from your lists.

3️⃣ Negative Slicing: Explore the world of negative slicing and understand how it can be used effectively in your programs.

💻 [GitHub Repository]:
Access the full Jupyter Notebook with detailed explanations and solutions in my GitHub repository. Use it as your coding companion or reference whenever you need help.

🔗Link to Jupyter notebook:

**Discover More Python Tutorials:**

⏰ Timestamps:
00:00 - Introduction
00:22 - indexing
05:17 - Negative indexing
07:35 - slicing
12:15 - Negative slicing
15:05 - Indexing nested lists
18:17 - Iterable elements in list

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