{"id":26190149,"url":"https://github.com/zazuko/notebooks","last_synced_at":"2025-12-26T04:40:57.686Z","repository":{"id":44150300,"uuid":"307309707","full_name":"zazuko/notebooks","owner":"zazuko","description":"Exploring Linked Data","archived":false,"fork":false,"pushed_at":"2023-09-04T15:58:18.000Z","size":155159,"stargazers_count":4,"open_issues_count":1,"forks_count":5,"subscribers_count":6,"default_branch":"master","last_synced_at":"2023-09-05T05:29:36.768Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://jupyter.zazuko.com/","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zazuko.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-10-26T08:43:32.000Z","updated_at":"2023-09-05T05:29:36.768Z","dependencies_parsed_at":"2023-01-21T16:16:43.045Z","dependency_job_id":null,"html_url":"https://github.com/zazuko/notebooks","commit_stats":null,"previous_names":[],"tags_count":0,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zazuko%2Fnotebooks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zazuko%2Fnotebooks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zazuko%2Fnotebooks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zazuko%2Fnotebooks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zazuko","download_url":"https://codeload.github.com/zazuko/notebooks/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243136209,"owners_count":20241989,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-03-12T00:52:44.526Z","updated_at":"2025-12-26T04:40:57.623Z","avatar_url":"https://github.com/zazuko.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Linked Data by Zazuko\n\n[Zazuko](http://zazuko.com/) works with data from all areas of life, for example data on demographics, the economy, the environment and politics. These datasets are published as [Linked Data](https://en.wikipedia.org/wiki/Linked_data).\n\nThese tutorials show **how to work with Linked Data**. They will guide you to working with SPAQRL directly in python. We recommend them to people who would like to:\n\n* Learn to query Linked Data\n* Explore datasets about Switzerland\n\n## Install\n### Locally\nTo setup the project locally after you have cloned this repository:\n* ```python3 -m venv venv``` create virtual environment\n* ```source venv/bin/activate``` to activate venv on Linux or  ```venv\\Scripts\\activate.bat``` to activate venv on Windows\n* ```pip install -r requirements.txt``` install dependencies\n* ```python -m ipykernel install --user --name=zazuko``` add python kernel to jupyter\n* ```jupyter sparqlkernel install --user zazuko```       add SPARQL kernel to jupyter\n* ```jupyter notebook``` start a server\n\nFor more details on setting up a jupyer notebook in a virtual environment, look [here](https://janakiev.com/blog/jupyter-virtual-envs/).\nFor more details on installing the SPARQL kernel, look [here](http://www.bobdc.com/blog/jupytersparql/).\n\n### Remotely\nYou can execute our notebooks in Google Colab environment. To run it in Colab, you will need to install all dependencies.\nFirst, import `requirements.txt` to your workspace. Then install them. You can do it by running (in Colab):\n```!pip install -r requirements.txt```\n\n## Explore\n\nWe provide tutorials on datasets available as Linked Data.\nThese datasets are published together with various Swiss organizations.\n\nAvailable tutorials are:\n\n### Zürich Statistical Office:\n* [Data model](notebooks/statistics_zurich/data_model.ipynb)\n* [Population](notebooks/statistics_zurich/population.ipynb)\n* [Real estate](notebooks/statistics_zurich/real_estate.ipynb)\n* [Economy](notebooks/statistics_zurich/economy.ipynb)\n\n### Federal Electricity Commission - ElCom:\n\n* [Electricity prices](notebooks/electricity_prices/electricity_prices.ipynb)\n\n\n### Federal Office for Agriculture:\n\n* [Animal diseases](notebooks/animal_disease/epidemics.ipynb)\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzazuko%2Fnotebooks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzazuko%2Fnotebooks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzazuko%2Fnotebooks/lists"}