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Python
Lession 1
Video Chapters
00:00:00
Introduction
00:02:05
Chapter 0 - What is Programming?
00:09:41
Chapter 1 – Modules, Comments & pip
00:25:33
Chapter 1 – Practice Set
00:34:55
Chapter 2 – Variables and Datatype
01:06:47
Chapter 2 – Practice Set
01:15:57
Chapter 3 – Strings
01:40:20
Chapter 3 – Practice Set
01:50:53
Chapter 4 – Lists and Tuples
02:15:29
Chapter 4 – Practice Set
02:25:56
Chapter 5 – Dictionary & Sets
02:53:56
Chapter 5 – Practice Set
03:09:41
Chapter 6 – Conditional Expression
03:31:23
Chapter 6 – Practice Set
03:58:17
Chapter 7 – Loops in Python
04:23:13
Chapter 7 – Practice Set
04:50:53
Chapter 8 – Functions & Recursions
05:17:16
Chapter 8 – Practice Set
05:34:55
Project 1: Snake, Water, Gun Game
05:54:50
Chapter 9 – File I/O
06:14:04
Chapter 9 – Practice Set
06:42:22
Chapter 10 – Object Oriented Programming
07:07:11
Chapter 10 – Practice Set
07:23:17
Chapter 11 – Inheritance & more on OOPs
07:48:07
Chapter 11 – Practice Set
08:08:45
Project 2: The Perfect Guess
08:15:38
Chapter 12 – Advanced Python 1
08:49:02
Chapter 12 – Practice Set
08:57:51
Chapter 13 – Advanced Python 2
09:16:57
Chapter 13 – Practice Set
09:30:22
Mega Project 1: Jarvis
10:17:56
Mega Project 2: Auto Reply AI Chatbot
10:50:55
Conclusion
Python is a versatile, high-level programming language that has become the dominant choice for fields like Artificial Intelligence (AI), Data Science, and Automation as of 2026. [1, 2]
It was originally created in 1991 by Guido van Rossum, who named it after the British comedy troupe Monty Python. Its primary design goal is readability, making code look as close to plain English as possible. [3, 4, 5]
Key Characteristics
- Easy to Learn: Its clean syntax uses indentation rather than curly brackets to organize code blocks, which reduces errors for beginners.
- Interpreted Language: Python runs code line by line at runtime, which allows for instant feedback and faster debugging without a separate compilation step.
- Dynamically Typed: You don’t need to specify variable types (like “integer” or “text”) manually; Python figures it out automatically while the program runs.
- Cross-Platform: The same Python script can typically run on Windows, macOS, or Linux without any changes. [6, 7, 8, 9, 10, 11, 12]
Main Use Cases in 2026
- AI & Machine Learning: Python is the backbone of modern AI, using libraries like PyTorch and TensorFlow for generative AI and deep learning.
- Data Science: Over 70% of data scientists use Python as their main language for analyzing big data and creating visualizations.
- Web Development: Frameworks like Django and FastAPI are used to build the “back-end” (server-side) of websites for major platforms like Instagram and Spotify.
- Automation: Professionals use it to script repetitive tasks, such as renaming thousands of files, sending automated emails, or scraping data from the web. [1, 2, 5, 8, 13]
The “Batteries Included” Library
One of Python’s greatest strengths is its massive Standard Library, which provides pre-written code for almost any task—from basic math to complex network protocols—so you rarely have to start from scratch. [6, 12]
Would you like to see a basic code example to get a feel for how the language looks, or are you interested in a specific career path?
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