π Day 1 of My 90 Days AI Journey: Setting Up the Environment
Hey developers π
Today marks Day 1 of my 90 Days AI Learning Challenge, and the goal was simple:
π Set up a complete development environment for AI & Python
If you're a beginner, this is the most important step. A strong setup makes everything easier going forward.
π οΈ Tools I Installed
Hereβs what I used:
- Git β Version control
- VS Code β Code editor
- uv β Fast Python package manager
- Ollama β Run AI models locally
β‘ Installation (Using winget)
I used Windows Package Manager to install everything quickly:
winget install --id Git.Git -e --source winget
winget install --id Microsoft.VisualStudioCode -e --source winget
winget install --id astral-sh.uv -e --source winget
winget install --id Ollama.Ollama -e --source winget
π Creating My Project Workspace
I created a dedicated folder for this journey:
mkdir C:\AI_90Days
cd C:\AI_90Days
βοΈ Initializing the Project
To start a clean Python project:
uv init
This generated the base configuration files.
π§ͺ Creating a Virtual Environment
I created an isolated Python environment:
uv venv
Then activated it:
.\.venv\Scripts\activate
Now my terminal shows:
(.venv) C:\AI_90Days>
βοΈ That means everything is working perfectly.
π§ Why Virtual Environment?
It helps to:
- Keep dependencies clean
- Avoid conflicts between projects
- Maintain a professional workflow
π§ͺ First Python Test
I created a simple file:
print("Hello AI World")
And ran it:
python test.py
Output:
Hello AI World
π― What I Achieved Today
β
Development environment ready
β
Python project initialized
β
Virtual environment setup
β
First Python script executed
π₯ Whatβs Next? (Day 2)
- Python basics (fast-track)
- Running first AI model with Ollama
- Writing my first AI script
π¬ Final Thoughts
Day 1 may seem simple, but it's the foundation of everything.
If your setup is strong, your learning becomes 10x faster π
If you're also starting your AI journey, feel free to follow along!
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