Python Web scraper - Coronavirus feed

Coronavirus Outbreak Data Feed

2020-03-06 UPDATE: Added daily UK feed including total tested figures, GitHub and Azure Notebooks both have been updated.

With the spread of coronavirus and the general panic around it, it’s hard not to ask or hear questions like –

  • How many people have been infected so far?
  • How many people recovered?
  • Wonder how many people have lost their loved ones?
  • Which countries’ been affected so far and in what rate?

TLDR: A python script to scrape Wiki table to get up-to-date summarised information on coronavirus outbreak. The link to my Azure notebooks (Jupyter hub) or GitHub.

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Sitting in the dark

Sitting in the shadows no more…….Cloud deployments: My learning and the best practices

I have been sitting in the shadows and reading up on all the good work the people from the Qlik community are producing. I have benefited from it more than I can count and have tried to add my small contributions to that many times. Unfortunately, finding the time has always been a bit of a challenge. Now, I have decided to make the time and write something meaningful, in the hope that someone will read my blog, find it useful and benefit from it.

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