# Core data science libraries
pandas>=1.3.0
numpy>=1.21.0

# Time series forecasting
prophet>=1.1.0

# Data visualization
matplotlib>=3.5.0
seaborn>=0.11.0

# Machine learning and metrics
scikit-learn>=1.0.0

# Jupyter ecosystem
jupyterlab>=3.0.0
ipython>=7.0.0

# Data acquisition
kaggle>=1.5.0

# Optional: Additional utilities
plotly>=5.0.0  # Interactive visualizations
statsmodels>=0.13.0  # Alternative forecasting models

# Development dependencies
pytest>=6.0.0  # Testing framework
black>=22.0.0  # Code formatting
flake8>=4.0.0  # Linting