- on Colab (requires Google login):
- on a NORCE server (only available at specific times,
to specific users):
Use this option for development, or if you simply want faster computations (your typical laptop is 10x faster than Google's free offering).
If you're an expert, setup a python environment however you like. Otherwise: Install Anaconda, then open the Anaconda terminal and run the following commands:
conda create --yes --name my-env python=3.9
conda activate my-env
python --versionEnsure the printed version is 3.9 or more.
Keep using the same terminal for the commands below.
- Download and unzip (or
git clone) this repository (see the green button up top) - Move the resulting folder wherever you like
cdinto the folder- Install requirements:
pip install -r path/to/requirements.txt
- Launch the "notebook server" by executing:
jupyter-notebook
This will open up a page in your web browser that is a file navigator. - Click on
HistoryMatch.ipynb.
For development, you probably want to install requirements-dev.txt.
Personally I prefer to develop mostly in the format of standard python script.
Then, thanks to the jupytext extension, I can convert this (.py) to a
notebook (.ipynb) simply by opening the file in Jupyter,
and ensuring that the file > Jupytext menu has check marks on both
"Pair with ipynb" and "Pair with light script".
If you use vim I suggest folding (rather than wrapping) the comment blocks (corresponding to markdown cells) using
:setlocal foldmethod=expr foldexpr=getline(v:lnum)=~'^\#\ ' fdl=0This work has been developed by Patrick N. Raanes, researcher at NORCE. The project has been funded by DIGIRES, a project sponsored by industry partners and the PETROMAKS2 programme of the Research Council of Norway.
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