Quickstart Setup#
The best way to get started and learn Gammapy are the Tutorials. For convenience we provide a pre-defined conda environment file, so you can get additional useful packages together with Gammapy in a virtual isolated environment. First install Miniconda and then just execute the following commands in the terminal:
$ curl -O https://gammapy.org/download/install/gammapy-1.2-environment.yml
$ conda env create -f gammapy-1.2-environment.yml
Note
On Windows, you have to open up the conda environment file and delete the
lines with sherpa
and healpy
. Those are optional dependencies that
currently aren’t available on Windows.
Note
For Apple silicon M1 (arm64
) architectures you also have to open the
environment file and delete the sherpa
entry, as currently there are
no conda packages available. However you can later install sherpa
in the environment using python -m pip install sherpa
.
Once the environment has been created you can activate it using:
$ conda activate gammapy-1.2
You can now proceed to download the Gammapy tutorial notebooks and the example datasets. The total size to download is ~180 MB. Select the location where you want to install the datasets and proceed with the following commands:
$ gammapy download notebooks
$ gammapy download datasets
$ conda env config vars set GAMMAPY_DATA=$PWD/gammapy-datasets/1.2
$ conda activate gammapy-1.2
The last conda commands will define the environment variable within the conda environment.
Conversely, you might want to define the $GAMMAPY_DATA
environment
variable directly in your shell with:
$ export GAMMAPY_DATA=$PWD/gammapy-datasets/1.2
Note
If you are not using the bash
shell, handling of shell environment variables
might be different, e.g. in some shells the command to use is set
or something
else instead of export
, and also the profile setup file will be different.
On Windows, you should set the GAMMAPY_DATA
environment variable in the
“Environment Variables” settings dialog, as explained e.g.
here
Finally start a notebook server by executing:
$ cd notebooks
$ jupyter notebook
If you are new to conda, Python and Jupyter, maybe also read the Using Gammapy guide. If you encountered any issues you can check the Troubleshooting guide.