# Quickstart

To quickly start using `famewoks` for reducing/analyzing your data there are three
different scenarios:

## You are still doing an experiment on the beamline

### FAME-UHD (BM16 at ESRF)

- You will work as `opd16` generic user
- Open a browser on `lbm16jade` computer and connect to `http://jade:8000`
- Go to the directory of your experiment and open the notebook in the `SCRIPTS`
  directory (usually at `/data/visitor/your_proposal/bm16/your_session/`)
- If the notebook is not there, please ask your local contact to create one for
  you or simply download one from
  [https://gitlab.esrf.fr/F-CRG/fames/famewoks](https://gitlab.esrf.fr/F-CRG/fames/famewoks)
- Depending on the experiment, you may adapt the names of the counters. Ask your
  local contact to get this information.
- **NOTE**: `lbm16jade` is also accessible via Guacamole at `remote.esrf.fr`

### FAME-PIX (BM30 at ESRF)

- You will work as `opd30` generic user
- Start Visual Studio Code on `lbm30vinci` computer and open the notebook in
  the `SCRIPTS` directory of your experiment (usually at
  `/data/visitor/your_proposal/bm30/your_session/`)
- If the notebook is not there, please ask your local contact to create one for
  you or simply download one from
  [https://gitlab.esrf.fr/F-CRG/fames/famewoks](https://gitlab.esrf.fr/F-CRG/fames/famewoks)
- Depending on the experiment, you may adapt the names of the counters. Ask your
  local contact to get this information.
- **NOTE**: `lbm30vinci` is also accessible via Guacamole at `remote.esrf.fr`

## Your experiment is finished and your data are not archived yet

- You will work remotely with your personal ESRF account via the ESRF JupyterHub portal
- Follow the [ESRF installation procedure](./install_esrf.md)

## You want to work locally on your computer

- Follow the [local installation procedure](./install_local.md)
- If you do not have already your own notebook, download the *Data reduction notebook* from
  [https://gitlab.esrf.fr/F-CRG/fames/famewoks](https://gitlab.esrf.fr/F-CRG/fames/famewoks)