Package Usage: conda: root-binaries

Almost everything in ROOT should be supported in this Conda package; ROOT was built with lots of options turned on. Here are a few things to try: * `root`: you can start up a session and see the splash screen; Control-D to exit. * `python` followed by `import ROOT` will load PyROOT. * `root --notebook` will start a notebook server with a ROOT kernel choice. * `rootbrowse` will open a TBrowser session so you can look through files. * `root -l -q $ROOTSYS/tutorials/dataframe/df013_InspectAnalysis.C` will run a DataFrame example with an animated plot. * `root -b -q -l -n -e "std::cout << TROOT::GetTutorialDir() << std::endl;"` will print the tutorial dir. * `root -b -l -q -e 'std::cout << (float) TPython::Eval("1+1") << endl;'` will run Python from C++ ROOT. See the post [here](https://iscinumpy.gitlab.io/post/root-conda/) for more information about using this Conda package. The ROOT package will prepare the required compilers. Everything in Conda is symlinked into `$CONDA_PREFIX` if you build things by hand; tools like CMake should find it automatically. The `thisroot.*` scripts should not be used and are not provided. Graphics, `rootbrowse`, etc. all should work. OpenGL is enabled. There is also a `root_base` package, with minimal dependecies, that libraries should depend on this to avoid having a runtime dependency on the `compilers` package. `root-dependencies` and `root-binaries` are also available. In most cases users should use the `root` package directly, since it adds both of these, along with compilers, Jupyter, and a few other things to facilitate using ROOT or PyROOT. ROOT was built with and will report `-std=c++17` from `root-config`.
9 versions
Latest release: about 3 years ago
2 dependent packages

View more package details: https://packages.ecosyste.ms/registries/anaconda.org/packages/root-binaries

View more repository details: https://repos.ecosyste.ms/hosts/GitHub/repositories/root-project%2Froot

Dependent Repos 4