How to Install Python, PyCharm & VS Code on Ubuntu Linux for AI Development | L4
Linux Install Python & VS Code | Python for AI Coding | L4
Ready to build AI applications on Linux?
Before writing your first line of Python code, you need the right development environment. In this lesson, you'll learn how to install Python 3 using apt, install pip3 for package management, and set up Visual Studio Code on Ubuntu Linux for AI development.
Whether your goal is to build AI chatbots, LLM applications, AI agents, RAG systems, MCP servers, or intelligent automation, this lesson will prepare your Ubuntu machine for the entire course.
This lesson is part of the *Python for AI Coding: From Beginner to LLM Engineer* series on PlayOwnAi.
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What You'll Learn
Open a terminal on Ubuntu Linux
Install Python 3 with `sudo apt install python3`
Install pip3 with `sudo apt install python3-pip`
Verify Python and pip versions
Test Python using the Python 3 REPL
Download Visual Studio Code .deb package for Ubuntu
Install VS Code using `sudo dpkg -i`
Launch VS Code from terminal with `code` command
Add VS Code to Ubuntu dock favorites
Open a project folder and create a test.py file
Install the Python Extension for AI development
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Chapters
00:00 Introduction
00:35 Open Terminal on Ubuntu
01:10 Install Python 3 with apt
02:30 Install pip3 for Python packages
03:45 Verify Python and pip versions
04:30 Test Python REPL with print hello
05:20 Download VS Code .deb from official site
06:40 Install VS Code using dpkg
08:00 Launch VS Code and add to favorites
08:40 Open project folder in VS Code
09:15 Create test.py file
09:40 Install Python extension
10:00 Write and run first Python code
10:45 Next steps for AI development
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Who Should Watch?
Complete Beginners
Python Learners
Ubuntu and Linux Users
AI Enthusiasts
AI Engineers
LLM Developers
AI Agent Developers
Automation Engineers
Students
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Prerequisites
Ubuntu 20.04, 22.04, or 24.04
Internet Connection
Sudo access
No Programming Experience Required
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Why This Lesson Matters for AI Engineers
Every modern AI project starts with a properly configured development environment.
Throughout this course, you'll build:
AI Chatbots
LLM Applications
AI Agents
RAG Systems
MCP Servers
Intelligent Automation
Linux is the standard for AI and LLM deployment. Installing Python and pip correctly on Ubuntu ensures you can manage libraries like LangChain, LlamaIndex, Transformers, and OpenAI SDK without conflicts. VS Code gives you a lightweight editor for RAG prototyping, agent debugging, and MCP server development directly on Linux.
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Course
*Python for AI Coding: From Beginner to LLM Engineer*
This course teaches Python the way modern AI engineers actually use it.
Instead of learning isolated programming concepts, you'll build the Python skills needed for:
AI Engineering
LLM Development
AI Agents
RAG Applications
MCP Servers
Intelligent Automation
Production-ready AI Projects
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Support
If you get stuck during installation, leave a comment below.
I personally read the comments and will help you troubleshoot apt errors, pip issues, or VS Code setup on Ubuntu.
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If You Enjoyed This Lesson
Like the video.
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Share this lesson with someone starting their AI journey on Linux.
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Hashtags
#Python #PythonForAI #Ubuntu #Linux #VSCode
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Suggested Pinned Comment
Welcome to the course!
Are you using *Ubuntu* or another Linux distro for your AI setup?
Reply below with:
Ubuntu 22.04
Ubuntu 24.04
Other Linux
If you hit any errors during `apt install` or `dpkg -i`, post the exact error message and I'll help you fix it.
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