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It contains a set of notebooks about italian open data developed using
Jupyter Notebook
Branch: master
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giux78 Merge pull request #8 from alevanno/master
italy_mortality: added diff map
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open-notebooks-example italy_mortality: added diff map Jul 29, 2019
.gitignore First release May 19, 2019
AUTHORS Instructions May 19, 2019
LICENSE First release May 19, 2019 added nteract medium link May 31, 2019
environment.yml Minor May 26, 2019
publiccode.yml Add codiceIPA to publiccode.yml Jun 14, 2019



This repo contains a set of notebooks devoloped using pdnd-nteract on top of a datascience docker image provided by jupyter project. The image contains a ready to use datascience environment with the most used datascience libraries for python3, R, and Julia. If you want to deepen about the set of libraries you can read this.

Pdnd-nteract is a customisation of nteract that allows users registered into the pdnd to search and load datasets into the notebook from about 7000 italians public datasets. If you want to know more about the project you can start from here. Some material to understand how it works can be:

Examples open on binder

  • List of examples on Binder


Docker MUST be installed on your local machine

From dockerhub

git clone
cd pdnd-open-notebooks
docker pull teamdigitale/pdnd-datascience
docker run -p 8888:8888 -v "$PWD":/home/jovyan/work teamdigitale/pdnd-datascience

Save the token from the output of your console as: http://(b4fd9e3ef290 or and open your browser at [http://localhost:8888]. If you are asked the token paste it.

You should see something like this: start

Navigate to work/examples and you should see a list of simple examples and tutorial where you can start to understand how it works. examples



Never made an open source contribution before?

  1. Fork this repository to your local GitHub organization.

  2. Clone the repository to your local machine using:

$ git clone
  1. Set the upstream repository by
$ git remote add upstream
  1. Install the image and launch as in the steps described above

  2. Create a new branch for your new analyses using:

$ git checkout -b branch-name-here
  1. Create a new analysis on some public data provided by the platform

  2. Add and commit the changed files using git add and git commit.

  3. Push the changes to the remote repository using:

$ git push origin branch-name-here
  1. Submit a pull request to the upstream repository.

  2. Title the pull request per the requirements outlined in the section below.

  3. Set the description of the pull request with a brief description of what you did and any questions you might have about what you did.

  4. Wait for the pull request to be reviewed by a maintainer.

  5. Make changes to the pull request if the reviewing maintainer recommends them.

  6. Celebrate your success after your pull request is merged! 🎉

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