{"repo":"zachetienne/nrpytutorial","free":true,"listed":false,"github":"https://github.com/zachetienne/nrpytutorial","clone":"git clone https://github.com/zachetienne/nrpytutorial.git","description":"NRPy+, BlackHoles@Home, SENRv2, and the NRPy+ Jupyter Tutorial: Python-Based Code Generation for Numerical Relativity... and Beyond!","language":"Jupyter Notebook","stars":104,"topics":["automatic","code","generation","bssn","hyperbolic","pdes","python","sympy","numerical","relativity"],"license":"BSD-2-Clause","category":"dev-tools","readme_excerpt":"NRPy+, SENRv2, and the NRPy+ Jupyter Tutorial This repository houses The newest version of NRPy+: Python-Based Code Generation for Numerical Relativity... and Beyond, The second version of SENR, the Simple, Efficient Numerical Relativity code (see the \"Colliding Black Holes\" Start-to-Finish tutorial notebook), and The NRPy+ Jupyter Tutorial: An Introduction to Python-Based Code Generation for Numerical Relativity... and Beyond! To explore the NRPy+ tutorial without downloading, check out the NRPy+ tutorial mybinder. If you would like to explore the NRPy+ tutorial on your local computer, you'll need to install Python, Jupyter, Sympy, and Matplotlib. Once they are installed, you may find this useful In certain circumstances, developers may wish to execute one of these Jupyter notebooks from the command line. For example, when the notebook constructs an Einstein Toolkit thorn. In such a case, the following command should be useful: jupyter nbconvert --to notebook --inplace --execute --ExecutePreprocessor.timeout=-1 [Jupyter notebook file] Alternatively one can simply use the script: ./run Jupyter notebook.sh [Jupyter notebook file]","default_branch":null,"files":null,"tree":[],"storefront":"/r/zachetienne","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zachetienne/nrpytutorial/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}