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| author | mathieu <mathieu.carriere3@gmail.com> | 2020-02-13 15:33:22 -0500 |
|---|---|---|
| committer | mathieu <mathieu.carriere3@gmail.com> | 2020-02-13 15:33:22 -0500 |
| commit | 2f2db197a38e45ac4fe01dec0c029171c251029b (patch) | |
| tree | 5c6522af65647afeb2f7e5e4b0c2858ee2352679 /README.md | |
| parent | d21640a16113a3c56389efcb060b3430af9f256d (diff) | |
| parent | bed30b19e57669c0b8ad385f1124586ed3499a2d (diff) | |
Merge branch 'master' of https://github.com/GUDHI/gudhi-devel into wasserstein_representations
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 9 |
1 files changed, 9 insertions, 0 deletions
@@ -10,6 +10,15 @@ The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding. The library offers state-of-the-art data structures and algorithms to construct simplicial complexes and compute persistent homology. +# Source code + +We recommend that users get official releases from [the GUDHI website](https://gudhi.inria.fr/). + +For potential contributors, to fully checkout GUDHI, after cloning the git repository, you may also need to checkout its submodules using +```sh +git submodule update --init +``` + # Compilation and installation To install GUDHI, you can follow the [C++ compilation procedure](https://gudhi.inria.fr/doc/latest/installation.html), the [Python compilation procedure](https://gudhi.inria.fr/python/latest/installation.html), use our [conda-forge package](https://gudhi.inria.fr/conda/), or [go with Docker](https://gudhi.inria.fr/dockerfile/). |