Source: yt Section: python Priority: optional Maintainer: Debian Astronomy Team Uploaders: BW Keller Build-Depends: cython (>= 0.22), cython3 (>= 0.22), debhelper (>= 11), dh-python, libpython-dev, libpython3-dev, python-all-dev, python-h5py, python-matplotlib, python-nose, python-mock, python-numpy, python-setuptools, python-sympy, python-tk, python3-all-dev, python3-h5py, python3-matplotlib, python3-nose, python3-numpy, python3-setuptools, python3-sympy, python3-tk, libjs-leaflet, libjs-jquery Standards-Version: 4.2.1 Homepage: http://yt-project.org/ Vcs-Git: https://salsa.debian.org/debian-astro-team/yt.git Vcs-Browser: https://salsa.debian.org/debian-astro-team/yt Package: python-yt Architecture: any Depends: ${misc:Depends}, ${python:Depends}, ${shlibs:Depends}, python-h5py, python-matplotlib, python-numpy (>= 1:1.6.1), python-numpy-abi9, python-mock, python-sympy, libjs-leaflet, libjs-jquery Suggests: python-astropy, python-scipy, python-pyx Description: Framework for analyzing and visualizing simulation data (Python 2) The yt project aims to produce an integrated science environment for collaboratively asking and answering astrophysical questions. To do so, it will encompass the creation of initial conditions, the execution of simulations, and the detailed exploration and visualization of the resultant data. It will also provide a standard framework based on physical quantities interoperability between codes. . This package contains the Python 2 version of the package. Package: python3-yt Architecture: any Depends: ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends}, python3-h5py, python3-matplotlib, python3-numpy (>= 1:1.6.1), python3-numpy-abi9, python3-sympy, libjs-leaflet, libjs-jquery Suggests: python3-astropy, python3-scipy, python3-pyx Description: Framework for analyzing and visualizing simulation data (Python 3) The yt project aims to produce an integrated science environment for collaboratively asking and answering astrophysical questions. To do so, it will encompass the creation of initial conditions, the execution of simulations, and the detailed exploration and visualization of the resultant data. It will also provide a standard framework based on physical quantities interoperability between codes. . This package contains the Python 3 version of the package.