Python for AI - Full Beginner Course
Learn Python from scratch and start building real AI applications. This is the fastest, beginner-friendly course Python for AI development.
📕 Course Handbook: https://go.datalumina.com/cm5P6b6
📥 Course Resources: https://go.datalumina.com/M2YfRW3
👊🏻 Let's connect on IG: / daveebbelaar
⏱️ Timestamps
00:00:00 Introduction: Learn Python for AI
00:01:42 Course Overview & Structure
00:03:58 Installing Python
00:04:05 Installing Python on Windows
00:05:10 Installing Python on Mac
00:06:53 Installing VS Code
00:08:34 Setting Up VS Code (Extensions)
00:12:08 Customizing VS Code
00:13:31 Creating Your First Project
00:16:18 Creating a VS Code Workspace
00:18:02 Your First Python File (hello.py)
00:20:10 Running Python Code
00:26:23 Exercise & Recap
00:29:26 Course Resources & Community
00:31:07 Understanding Python Environments
00:33:15 Understanding Python Packages & Pip
00:34:00 Creating Virtual Environments (venv)
00:37:34 A Note on Anaconda
00:38:32 Installing Python Packages (pip install)
00:42:51 Using Python Packages (Import)
00:44:29 Interactive Python with Jupyter
00:48:30 Full Setup Recap & Exercise
00:51:36 What is Programming?
00:55:19 Understanding Python Syntax & PEP8
00:58:00 Understanding & Debugging Errors
01:01:33 Variables
01:06:03 Comments
01:09:48 Data Types Introduction
01:10:12 Numbers (Integers & Floats)
01:13:36 Strings
01:19:39 String Formatting (F strings)
01:21:49 String Methods
01:26:35 Booleans
01:31:02 Operators (Arithmetic, Comparison, Logical)
01:39:19 Shortcut Assignments (+=)
01:40:24 Control Flow Introduction
01:41:35 Conditional Statements (if, elif, else)
01:47:11 Loops (For Loops & range())
01:52:13 Data Structures Introduction
01:53:32 Lists
01:59:10 Dictionaries
02:00:23 Tuples
02:01:37 Sets
02:05:51 Functions (Defining & Calling)
02:15:02 Function Parameters & Arguments
02:22:42 Global vs Local Variable Scope
02:28:50 Returning Values from Functions
02:37:37 External Tools (Modules, Packages)
02:40:48 Importing Modules & Built ins
02:47:56 Import Methods Summary
02:48:48 Installing Packages & requirements.txt
02:56:04 Working with APIs (Requests Example)
03:06:20 Working with Data Example (Pandas & Matplotlib)
03:10:46 Reading & Saving Data Files
03:14:50 Practical Python Introduction
03:16:47 Project Structure & Organization
03:22:02 Understanding File Paths
03:26:37 Working with Different File Types
03:34:05 Organizing Code into Modules
03:39:39 Error Handling (Try/Except)
03:45:31 Introduction to Classes (OOP)
03:49:09 Creating Your First Class (__init__, self)
03:57:04 Class Attributes vs Instances
04:00:10 Class Methods
04:05:23 Class Inheritance
04:07:32 When to Use Classes vs Functions
04:09:44 Introduction to Git & GitHub
04:12:31 Git Fundamentals
04:15:41 Installing Git
04:16:46 Basic Git Workflow
04:18:41 GitHub Account Setup & Authentication
04:22:37 Cloning GitHub Repositories
04:28:12 Creating Repositories & .gitignore
04:36:12 Using Git with VS Code UI
04:44:05 Environment Variables & Secrets (.env)
04:52:13 Using python dotenv Package
04:55:03 Introduction to Ruff (Linter & Formatter)
04:56:13 Setting Up Ruff in VS Code
04:57:23 Ruff in Action
05:01:10 Introduction to Uv (Modern Package Manager)
05:02:07 Installing Uv
05:02:30 Using Uv (uv init, add, sync)
05:09:01 Complete Python Project Workflow Exercise
05:11:13 Course Wrap up & What's Next
👋🏻 About Me
Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!
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