maianumerosky/thesis-clustering-for-wetlands

Wetland modeling using clustering techniques.

Option 1 (preferred): Docker

• Install Docker Engine (https://docs.docker.com/engine/install/#server) and Docker Compose (https://docs.docker.com/compose/install/). Be sure to be able to manage it as a non-root user (https://docs.docker.com/engine/install/linux-postinstall/).
• On the project folder, run in your terminal docker-compose up
• You should see something like:

Serving notebooks from local directory: /tesis
Jupyter Notebook 6.4.3 is running at: http://127.0.0.1:8888/?token=xxxxxxx

Ctrl+click on that last link should open up a browser tab with the project tree. Notebooks are in clasificacion-humedales/notebooks.

Option 2: virtualenv

• In the project folder, create a virtualenv, running in your terminal python3 -m venv .venv
• Activate it: source .venv/bin/activate
• Run pip3 install -r requirements.txt to install the requirements
• Run pip3 install . to install the project's packages and modules
• Run jupyter notebook to run the notebooks. - You should see something like:

Jupyter Notebook 6.4.3 is running at: http://127.0.0.1:8888/?token=xxxxxxx

Ctrl+click on that last link should open up a browser tab with the project tree. Notebooks are in clasificacion-humedales/notebooks.