coronavirus-stats
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Automatically scrape data and statistics on Coronavirus to make them easily accessible in CSV format
Bumps [jupyter-core](https://github.com/jupyter/jupyter_core) from 4.6.1 to 4.11.2. Release notes Sourced from jupyter-core's releases. 4.11.1 What's Changed Fix inclusion of jupyter file and check in CI by @blink1073 in jupyter/jupyter_core#276 Full Changelog:...
Bumps [pypdf2](https://github.com/py-pdf/PyPDF2) from 1.26.0 to 1.27.9. Release notes Sourced from pypdf2's releases. Version 1.27.9, 2022-04-24 What's Changed A change I would like to highlight is the performance improvement for large...
Bumps [requests](https://github.com/psf/requests) from 2.22.0 to 2.31.0. Release notes Sourced from requests's releases. v2.31.0 2.31.0 (2023-05-22) Security Versions of Requests between v2.3.0 and v2.30.0 are vulnerable to potential forwarding of Proxy-Authorization...
Bumps [lxml](https://github.com/lxml/lxml) from 4.6.5 to 4.9.1. Changelog Sourced from lxml's changelog. 4.9.1 (2022-07-01) Bugs fixed A crash was resolved when using iterwalk() (or canonicalize()) after parsing certain incorrect input. Note...
https://www.abc.net.au/news/2020-04-10/coronavirus-data-australia-growth-factor-covid-19/12132478 E.g using 5 day moving average to avoid volatility
When notebooks fail in the pipeline they should be stored in artifacts so that they can be debugged later.
Should keep track of these artifacts (html, screenshots, PDF...)
E.g. daily delta