PyPI 官网下载 | itacovidlib-0.1.3.tar.gz

# Italian COVID Library (itacovidlib)  A Python library for COVID-19 infections and vaccinations in Italy data retrieval and analysis. ## Installing Italian COVID Library You can install this library directly from PyPi: `pip install itacovidlib` You can also just clone this repository and use it as a normal Python package: `git clone https://github.com/FedericoCorchia/itacovidlib` ## Requirements Functioning of Italian COVID Library requires the following: - Python (3.8.1 or higher) - numpy - pandas (1.2.0 or higher) - geopandas (0.7.0 or higher) - requests - epyestim - setuptools ## Usage Instructions on using Italian COVID Library, also including practical examples: [Italian COVID Library Tutorial](https://github.com/FedericoCorchia/Italian_COVID_Library/blob/main/Tutorial.ipynb) ## Data Sources For data on COVID-19 cases in Italy: [pcm-dpc/COVID-19](https://github.com/pcm-dpc/COVID-19) - "COVID-19 Italia - Monitoraggio situazione" by Dipartimento della Protezione Civile For data on vaccinations in Italy: [italia/covid19-opendata-vaccini](https://github.com/italia/covid19-opendata-vaccini) - "Open Data su consegna e somministrazione dei vaccini anti COVID-19 in Italia - Commissario straordinario per l'emergenza Covid-19", by Commissario straordinario per l'emergenza Covid-19 - Presidenza del Consiglio dei Ministri Both are released under **Creative Commons - Attribution 4.0 International (CC BY 4.0)** [Full license](https://creativecommons.org/licenses/by/4.0/legalcode) - [Summary](https://creativecommons.org/licenses/by/4.0/deed.en) For .geojson files with Italian regions and provinces: [datajournalism-it/regioni-con-trento-bolzano.geojson](https://gist.github.com/datajournalism-it/f1abb68e718b54f6a0fe) and [datajournalism-it/province.geojson](https://gist.github.com/datajournalism-it/212e7134625fbee6f9f7) by Datajournalism.it Downloader functions provide the original data as they are without any modification apart from translating them into English and optimising their presentation. ## Further project details This is a programming project for the Software and Computing for Nuclear and Subnuclear Physics course, Master Course in Nuclear and Subnuclear Physics, University of Bologna.