astropy
Astropy - Astronomy & Astrophysics
Astropy is more than a library; it's a community standard. It ensures that astronomical calculations are reproducible and physically consistent by linking numerical arrays with physical units and celestial reference frames.
When to Use
- Handling physical units and constants in calculations.
- Working with celestial coordinates (Right Ascension, Declination) and frame transformations.
- Reading/writing FITS (Flexible Image Transport System), ASDF, and VO (Virtual Observatory) files.
- Managing astronomical time scales (UTC, TAI, TDB, Julian Dates).
- World Coordinate System (WCS) mapping (pixels to sky coordinates).
- Cosmological calculations (distances, ages, Hubble parameters).
- Tabular data with attached units and metadata (astropy.table).
Reference Documentation
Official docs: https://docs.astropy.org/
Learn Astropy: https://learn.astropy.org/
Search patterns: astropy.units.Quantity, astropy.coordinates.SkyCoord, astropy.io.fits, astropy.time.Time
More from tondevrel/scientific-agent-skills
xgboost-lightgbm
Industry-standard gradient boosting libraries for tabular data and structured datasets. XGBoost and LightGBM excel at classification and regression tasks on tables, CSVs, and databases. Use when working with tabular machine learning, gradient boosting trees, Kaggle competitions, feature importance analysis, hyperparameter tuning, or when you need state-of-the-art performance on structured data.
211opencv
Open Source Computer Vision Library (OpenCV) for real-time image processing, video analysis, object detection, face recognition, and camera calibration. Use when working with images, videos, cameras, edge detection, contours, feature detection, image transformations, object tracking, optical flow, or any computer vision task.
147matplotlib
The foundational library for creating static, animated, and interactive visualizations in Python. Highly customizable and the industry standard for publication-quality figures. Use for 2D plotting, scientific data visualization, heatmaps, contours, vector fields, multi-panel figures, LaTeX-formatted plots, custom visualization tools, and plotting from NumPy arrays or Pandas DataFrames.
95ortools
Google Optimization Tools. An open-source software suite for optimization, specialized in vehicle routing, flows, integer and linear programming, and constraint programming. Features the world-class CP-SAT solver. Use for vehicle routing problems (VRP), scheduling, bin packing, knapsack problems, linear programming (LP), integer programming (MIP), network flows, constraint programming, combinatorial optimization, resource allocation, shift scheduling, job-shop scheduling, and discrete optimization problems.
76plotly
A high-level interactive graphing library for Python. Ideal for web-based visualizations, 3D plots, and complex interactive dashboards. Built on plotly.js, it allows users to zoom, pan, and hover over data points in a browser-based environment. Use for interactive charts, web applications, Jupyter notebooks, 3D data visualization, geographic maps, financial charts, animations, time-series analysis, and building production-ready dashboards with Dash.
61scipy
Comprehensive guide for SciPy - the fundamental library for scientific and technical computing in Python. Use for integration, optimization, interpolation, linear algebra, signal processing, statistics, ODEs, Fourier transforms, and advanced scientific algorithms. Built on NumPy and essential for research and engineering.
52