"""
NotyoBiz Cloud Lab - Data Engineering Setup
Python environment configuration and requirements
"""

# Core data processing libraries
pandas==2.1.0
numpy==1.24.3
scipy==1.11.1

# Database connectivity
sqlalchemy==2.0.19
pymysql==1.1.0
psycopg2-binary==2.9.7
redis==4.6.0

# Data visualization
matplotlib==3.7.2
seaborn==0.12.2
plotly==5.15.0
bokeh==3.2.1

# Machine learning
scikit-learn==1.3.0
tensorflow==2.13.0
torch==2.0.1

# Data processing and ETL
apache-airflow==2.7.0
celery==5.3.1
great-expectations==0.17.12

# Web scraping and APIs
requests==2.31.0
beautifulsoup4==4.12.2
scrapy==2.9.0

# File processing
openpyxl==3.1.2
xlsxwriter==3.1.2
python-docx==0.8.11
pypdf2==3.0.1

# Jupyter and interactive computing
jupyter==1.0.0
jupyterlab==4.0.5
ipywidgets==8.0.7
papermill==2.4.0

# Configuration and environment
python-dotenv==1.0.0
configparser==5.3.0
pyyaml==6.0.1

# Logging and monitoring
loguru==0.7.0
prometheus-client==0.17.1

# Testing
pytest==7.4.0
pytest-cov==4.1.0

# Utilities
click==8.1.6
tqdm==4.65.0
schedule==1.2.0

# Cloud and deployment
docker==6.1.3
kubernetes==27.2.0

# Development tools
black==23.7.0
flake8==6.0.0
mypy==1.5.1