Harmonising Raman spectroscopy: meant to fill the gap between the theoretical Raman analysis and the experimental Raman spectroscopy by providing means to compare data of different origin.
- 📖 Documentation
- ⚗️ Examples
NOTICE: See the next section for more details and examples with venv-managed virtual environments.
Install Miniforge if you don't have Conda already installed, then run the following:
git clone https://github.com/h2020charisma/ramanchada2.git
cd ramanchada2
conda env create
conda activate ramanchada2
jupyter notebook
Clone the repo using https
git clone https://github.com/h2020charisma/ramanchada2.gitor by using ssh
git clone git@github.com:h2020charisma/ramanchada2.git
and go inside
cd ramanchada2 # make sure you are in ramanchada2 directoryMake sure you have virtualenv module and create a virtual environment
virtualenv .venv # create virtual environment
# activate the virtual environment
source .venv/bin/activate # on linux
.venv\Scripts\activate # on windowsInstall the package in editable mode and its development dependencies by running:
pip install -e .
pip install autopep8 flake8 jupyter mypy pdoc pytest tox
hash -r # make sure the newly created environment is in useIn order to create a jupyter kernel, from the already activated virtual environment execute following command:
ipython kernel install --name=ramanchada2 --user # set up a new jupyter kernelThe kernel can be removed by:
jupyter kernelspec remove ramanchada2A jupyter server can be started from anywhere -- no need to activate the virtual environment:
jupyter-notebookor
jupyter-labA web browser with jupyter should start automaticaly.
🇪🇺 This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 952921.