# Domains

Optimization (Mathematical) For discussion of mathematical optimization software in Julia. This includes modeling software and solvers for linear optimization, mixed-integer optimization, convex optimization, nonlinear optimization, semidefinite optimization, and related topics. Bio This subcategory is for discussion around biology, computational biology and bioinformatics using Julia. Also welcomed is discussion about the projects or packages maintained by the organisations below. Signal Processing Discussion of digital signal processing (DSP) and audio-related topics, including playing, recording, storing, generating, manipulating, reproducing, etc. Astro/Space Discussion of Astronomy, Astrophysics, Astrodynamics, and other space related disciplines in Julia. Current Git organizations include: Finance/Economics Discussions about using Julia within the Finance and Economics domains Data This subcategory is for discussion around data management: importing/exporting data sets from files or databases, manipulating data, summarizing data, etc. Also welcomed is discussion about the projects or packages maintained by the organisations below. Parallel/Distributed Statistics This subcategory is for discussion around statistics and machine learning. Probability distributions, fitting models, etc. Also welcomed is discussion about the projects or packages maintained by the organisations below. Modelling & Simulations Visualization Discussion of visualization in Julia, including graphics, images, plotting, etc. Numerics This subcategory is for discussion of Julia implementations of general methods for solving scientific and engineering problems. In particular, GPU This subcategory is for discussion around GPU computing and GPU accelerated graphics. Also welcomed is discussion about the projects or packages maintained by the organisations below. Web Stack Probabilistic programming Machine Learning Machine Learning in Julia, with a particular focus on Deep Learning Geo This subcategory is for geo-related discussions. This includes using Julia in geosciences, or dealing with geospatial data.