From ed28e40c259f1d9b73169c821f8b52ff7a134b20 Mon Sep 17 00:00:00 2001 From: markus holzer <markus.holzer@fau.de> Date: Thu, 6 Aug 2020 10:30:50 +0200 Subject: [PATCH] Update Readme --- README.md | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 97b6f0645..fbe4e9cf4 100644 --- a/README.md +++ b/README.md @@ -2,16 +2,16 @@ pystencils ========== [](https://mybinder.org/v2/gh/mabau/pystencils/master?filepath=doc%2Fnotebooks) -[](http://pycodegen.pages.walberla.net/pystencils) +[](https://pycodegen.pages.i10git.cs.fau.de/pystencils) [](https://badge.fury.io/py/pystencils) [](https://i10git.cs.fau.de/pycodegen/pystencils/commits/master) -[](http://pycodegen.pages.walberla.net/pystencils/coverage_report) +[](http://pycodegen.pages.i10git.cs.fau.de/pystencils/coverage_report) Run blazingly fast stencil codes on numpy arrays. *pystencils* uses sympy to define stencil operations, that can be executed on numpy arrays. Exploiting the stencil structure makes *pystencils* run faster than normal numpy code and even as Cython and numba, -[as demonstrated in this notebook](http://pycodegen.pages.walberla.net/pystencils/notebooks/demo_benchmark.html). +[as demonstrated in this notebook](https://pycodegen.pages.i10git.cs.fau.de/pystencils/notebooks/demo_benchmark.html). Here is a code snippet that computes the average of neighboring cells: @@ -39,9 +39,6 @@ discretize = ps.fd.Discretization2ndOrder(dx=1, dt=0.01) discretization = discretize(adv_diff_pde) ``` -Look at the [documentation](http://pycodegen.pages.walberla.net/pystencils) to learn more. - - Installation ------------ @@ -69,5 +66,5 @@ pip install pystencils[interactive,gpu,doc] Documentation ------------- -Read the docs [here](http://pycodegen.pages.walberla.net/pystencils) and +Read the docs [here](https://pycodegen.pages.i10git.cs.fau.de/pystencils) and check out the Jupyter notebooks in `doc/notebooks`. -- GitLab