This repository tracks my 30-day journey from Python fundamentals to the prerequisites of Generative AI. Inspired by the "30-Days-Of-Python" challenge. Topics covered in this practise are, "LangChain," "Hugging Face," and "RAG" under Python fundamentals with Generative AI, including "Python for GenAI," "LLM Development," and "AI Agent Development".
- Week 1: Core Programming & Environment Setup
- Week 2: Data Structures & Functional Python
- Week 3: Pandas Deep Dive & Data Wrangling
- Week 4: OOP & AI Prerequisites (GenAI)
Don't wait! Run this to see if your environment is ready for AI:
# Clone and install dependencies
git clone clone https://github.com/NxtGenCodeBase/FastTrack-Python-for-GenAI.git
cd FastTrack-Python-for-GenAI
pip install -r requirements.txt
# Run the Day 1 Test
python Day_01_Setup/test_setup.py
## 🛠️ Setup Instructions
1. **Clone the repo:** `git clone https://github.com/NxtGenCodeBase/FastTrack-Python-for-GenAI.git`
2. **Environment:** Install [Miniconda](https://docs.conda.io) or [Anaconda](https://www.anaconda.com).
3. **Install Dependencies:**
```bash
pip install pandas numpy matplotlib seaborn plotly jupyter
### 2. Recommended Directory Structure
```text
.
├── README.md
├── requirements.txt
├── .gitignore
├── Day_01_Setup/
│ └── setup_notes.md
├── Day_02_IDEs/
│ └── ide_comparison.md
├── Day_03_Jupyter/
│ └── Jupyter_Basics.ipynb
├── Day_04_Basics/
│ └── basics.py
└── Day_05_Control_Flow/
└── logic.py