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.
๐ Course Handbook: https://go.datalumina.com/cm5P6b6
๐ฅ Course Resources: https://go.datalumina.com/M2YfRW3
๐๐ป Let's connect on IG: https://www.instagram.com/daveebbelaar/
โฑ๏ธ 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 I
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How to Install Homebrew on Mac (Getting Started)
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How to Install Python on Mac (Homebrew)
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How to Install Anaconda on Mac (Getting Started)
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How to Set up VS Code for Data Science & AI
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How to Use Git in VS Code for Data Science
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Data Science Desk Setup to Maximize Productivity
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THIS Is How I Write Clean Data Science Code EVERY TIME
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Data Science Tutorial - Project Structure
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Changing rcParams for Better Data Science Plots | Matplotlib Tutorial
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How to Read Excel Files with Python (Pandas Tutorial)
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My Data Science Journey (Zero to Freelance)
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How I Automate Data Visualization in Python
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16 Apps I Use Daily as a Data Scientist
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How to Manage Conda Environments for Data Science
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How to Export Machine Learning Models in Python
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VS Code Speed Hack for Data Science
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17 VS Code Tips That Will Change Your Data Science Workflow
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How to Predict the Future with Python (Forecasting Tutorial)
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How to Use Python Environment Variables
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7 Data Science Tips for Beginners in 2023
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How to Effectively Use the Data Science Lifecycle
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Full Machine Learning Project โ Coding a Fitness Tracker with Python (Part 1)
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Full Machine Learning Project โ Processing Raw Data (Part 2)
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Full Machine Learning Project โ Data Visualization with Matplotlib (Part 3)
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This Will Change Data Science as We Know It (ChatGPT)
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Full Machine Learning Project โ Detecting Outliers in Sensor Data (Part 4)
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Full Machine Learning Project โ Low-pass Filter & Principal Component Analysis (Part 5a)
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Full Machine Learning Project โ Fourier Transformation & Clustering (Part 5b)
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Full Machine Learning Project โ Predictive Modelling (Part 6)
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Automate Machine Learning with ChatGPT
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Scraping Web Datasets for Data Science Projects
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Full Machine Learning Project โ Counting Repetitions (Part 7)
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How to Use GitHub Copilot for Data Science (Python + VS Code)
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Every Beginner Data Scientist Should Understand This
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Revealing My New AI-Powered Data Science Workflow
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Auto-GPT Tutorial - Create Your Personal AI Assistant ๐ฆพ
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Build Your Own Auto-GPT Apps with LangChain (Python Tutorial)
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Building Slack AI Assistants with Python & LangChain
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ChatGPT Code Interpreter - Goodbye Data Analysts?
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How to Deploy AI Apps to the Cloud with Flask & Azure
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How to Build an AI Document Chatbot in 10 Minutes
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Is Falcon LLM the OpenAI Alternative? An Experimental Setup with LangChain
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GPT Engineer... Generate an entire codebase with one prompt
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Pandas DataFrame Agent... the future of data analysis?
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OpenAI Function Calling - Full Beginner Tutorial
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How to use ChatGPT's new โCode Interpreterโ feature
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LangChain just launched their new "LangSmith" platform
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How I'd Learn AI (if I could start over)
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I Used AI To Scrape The Web & Write PDF Reports
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LangSmith Tutorial - LLM Evaluation for Beginners
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7 Lessons for New AI Engineers - Beginnerโs Guide
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The Rise of the "New-Age" Machine Learning Engineer
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OpenAI Assistants Tutorial for Beginners
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How To Connect OpenAI To WhatsApp (Python Tutorial)
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How to Build Chatbot Interfaces with Python
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PostgreSQL as VectorDB - Beginner Tutorial
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My MacBook Setup (as a coder & business owner)
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Easiest Way to Connect AI Chatbots to WhatsApp
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ClickUp Tutorial - What Is ClickUp Brain? ๐ง
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My Development Workflow for Data & AI Projects
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Chapters (48)
Introduction: Learn Python for AI
1:42
Course Overview & Structure
3:58
Installing Python
4:05
Installing Python on Windows
5:10
Installing Python on Mac
6:53
Installing VS Code
8:34
Setting Up VS Code (Extensions)
12:08
Customizing VS Code
13:31
Creating Your First Project
16:18
Creating a VS Code Workspace
18:02
Your First Python File (hello.py)
20:10
Running Python Code
26:23
Exercise & Recap
29:26
Course Resources & Community
31:07
Understanding Python Environments
33:15
Understanding Python Packages & Pip
34:00
Creating Virtual Environments (venv)
37:34
A Note on Anaconda
38:32
Installing Python Packages (pip install)
42:51
Using Python Packages (Import)
44:29
Interactive Python with Jupyter
48:30
Full Setup Recap & Exercise
51:36
What is Programming?
55:19
Understanding Python Syntax & PEP8
58:00
Understanding & Debugging Errors
1:01:33
Variables
1:06:03
Comments
1:09:48
Data Types Introduction
1:10:12
Numbers (Integers & Floats)
1:13:36
Strings
1:19:39
String Formatting (F strings)
1:21:49
String Methods
1:26:35
Booleans
1:31:02
Operators (Arithmetic, Comparison, Logical)
1:39:19
Shortcut Assignments (+=)
1:40:24
Control Flow Introduction
1:41:35
Conditional Statements (if, elif, else)
1:47:11
Loops (For Loops & range())
1:52:13
Data Structures Introduction
1:53:32
Lists
1:59:10
Dictionaries
2:00:23
Tuples
2:01:37
Sets
2:05:51
Functions (Defining & Calling)
2:15:02
Function Parameters & Arguments
2:22:42
Global vs Local Variable Scope
2:28:50
Returning Values from Functions
2:37:37
External Tools (Modules, Packages)
๐
Tutor Explanation
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