requirements.txt

# Core dependencies for Python Training Program
# Pin versions for reproducibility

# ============================================================================
# Core Libraries
# ============================================================================
numpy==1.24.3
pandas==2.0.3
matplotlib==3.7.2
duckdb==0.8.1

# ============================================================================
# Python 3.8+ Features (Web & GUI)
# ============================================================================
flask==2.3.2
tkinter  # Included in standard Python, no pip needed

# ============================================================================
# Automation & Data
# ============================================================================
faker==19.2.0
colorama==0.4.6
playsound==1.2.3
pyautogui==0.9.53

# ============================================================================
# AI & Machine Learning
# ============================================================================
scikit-learn==1.3.0
openai==0.27.8  # For ChatGPT integration
groq==0.4.1  # For Groq API integration
python-dotenv==1.0.0  # For environment variables
requests==2.31.0  # For API calls

# ============================================================================
# Development Tools (Optional)
# ============================================================================
pytest==7.4.0
black==23.7.0
flake8==6.0.0
ipython==8.14.0  # Enhanced Python REPL
jupyter==1.0.0  # Jupyter notebooks for Day 13

# ============================================================================
# Installation Instructions:
# ============================================================================
# 1. python -m venv .venv
# 2. .venv\Scripts\activate  (Windows) or source .venv/bin/activate (Mac/Linux)
# 3. pip install -r requirements.txt
#
# For specific installations:
# - pip install numpy pandas matplotlib
# - pip install flask
# - pip install scikit-learn
# - pip install jupyter