3 boosters for "pandas" — open source, verified from GitHub, ready to install
Production-grade geospatial workflows with an open-first stack and pragmatic hosted/SaaS choices when global scale, latency, SLA, or data quality makes local processing a poor fit. Cloud-native by default: STAC for discovery, GeoParquet + COG + PMTiles for storage, DuckDB and PostGIS for compute, Ma
FHIRy is a Python package that converts FHIR healthcare data into pandas DataFrames, enabling data scientists and healthcare developers to perform analytics, machine learning, and AI on standardized health records. It's ideal for researchers and engineers working with health data who need quick, programmatic access to structured clinical datasets.
"name": "python-developer-plugin", "description": "Production-grade Python development plugin: web frameworks (Django, FastAPI), data science (Pandas, NumPy), testing (pytest), async programming, packaging, DevOps automation, and performance optimization", "name": "Dr. Umit Kacar & Muhsin Elcicek",
