Want to build rock-solid Python programming fundamentals? This is the video for you.
I'm Narender Kumar, a Senior Data Architect with 12+ years of IT experience, Microsoft Certified Architect, and Databricks MVP. After years of interviewing candidates and seeing the same gaps in programming fundamentals, I decided to build this complete, beginner-friendly Python course to help you go from zero to interview-ready.
In this video, we cover everything — from the very basics all the way to advanced topics, including AI-related concepts — with both theory AND hands-on coding for every topic.
🔗 Free Notebooks (GitHub): [https://github.com/databeli/python_co...]
WHAT YOU'LL LEARN:
✅ Python fundamentals, step by step
✅ Hands-on coding for every concept
✅ Concepts explained the way they're actually asked in interviews
✅ A solid foundation for data engineering & AI-related work
WHO THIS IS FOR:
This course is designed to be beginner-friendly — even if you've never written a line of Python before, you'll be able to follow along and complete every hands-on exercise yourself.
By the end of this video, you'll be able to write Python code confidently and answer Python interview questions with ease.
📌 Don't forget to subscribe for more content on Data Engineering, Databricks, and AI.
⏱️ TIMESTAMPS:
00:00 Intro
01:32 Python Overview and history
07:18 Python Setup
13:12 Clone GitHub Repo in VS Code
24:15 First Python Program
37:47 Data Types, Variables and Operators
01:03:43 Interpreter vs Compiler
01:09:58 If Else Conditional Statements
01:21:55 For Loop and While Loop
01:30:40 Break and Continue
01:45:42 Strings and Text Processing
02:06:05 List vs Dictionary vs Set
02:09:04 List - Hands On
02:28:16 Dictionary - Hands On
02:36:25 Set - Hands On
02:51:28 Functions
03:07:35 Lambda Expression
03:22:13 OOPs concepts - Class, Object, Attribute, Method
03:25:15 Class - Hands On
03:35:19 Inheritance - Hands On
03:43:41 Types of Inheritance
03:53:34 Access Modifiers
04:02:38 Create your own Modules
04:09:19 Install ready to use modules
04:16:31 Store secrets with dotenv
04:21:04 Exception Handling
04:34:46 Raising Custom Exception
04:40:23 Logging and its types
04:50:00 Storing logs into files
04:57:30 Working with Files and Folders
05:07:52 Working with JSON Data
05:21:19 Working with APIs
05:31:25 Create Gemini API Key
05:36:23 Working with Gemini SDK
05:45:15 Create UI with Streamlit
05:57:08 AI Chatbot using Gemini
06:05:26 Conclusion
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