ramanchada2

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

Quick start

Clone the repo using https

git clone https://github.com/h2020charisma/ramanchada2.git

or by using ssh

git clone git@github.com:h2020charisma/ramanchada2.git

and go inside

cd ramanchada2  # make sure you are in ramanchada2 directory

Make 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 windows

Ramanchada package and all dependencies can be installed by runing:

pip install -r requirements-dev.txt  # install development environment
hash -r  # make sure the newly created environment is in use

In 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 kernel

The kernel can be removed by:

jupyter kernelspec remove ramanchada2

A jupyter server can be started from anywhere -- no need to activate the virtual environment:

jupyter-notebook

or

jupyter-lab

A web browser with jupyter should start automaticaly.

Quick start with Conda

Install Miniconda and, optionally, Mamba:

conda install mamba -n base -c conda-forge

Run the following. If you haven't installed Mamba, replace mamba with conda.

mamba env update -f environment.yml
conda activate ramanchada2
jupyter notebook

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🇪🇺 This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 952921.