It’s been a year since we heard about COVID-19 for the first time. Let’s see how things are going. First, the selection of countries that I’ve been tracking:
Ouch. Germany and Finland seem to be doing well in Europe, but the rest… It looks like it’s going to be a bad winter. I think it is interesting how countries like France, Italy and Switzerland that seemed to have things under control are now at USA levels of deaths per million.
Let’s see how the US is doing:
The hard-hit eastern states still look a lot like the parts of Europe that are still on top of the spread. Georgia, Mississippi, and the Dakotas look very bad. Washington and California, which were hit early, are still experiencing very low rates. I guess we’ll see how this chart looks in January. If there is a Thanksgiving-related surge, we should see it by then.
- Work on attention
- 10:00 Meeting with Vadim. Pymoo is much better to install than Pyomo. It’s API seems more straightforward too. Vadim is working on figuring out the examples
- 2:00 Meeting. Just a quick status
- Status report
- Long chat with Aaron
- Start the plotly tutorials
- Getting started
- The generated HTML file to make that chart is huge, btw. It’s 2.9MB.
- And it’s slooooooow if you just use fig.show(). fig.write_html(‘file_name.html’, auto_open=True) is much faster. Ok. That means the figures can be saved as dynamic pages, which is kind of cool.
- Got dash running, which set up a server for your interactive graphs. Not really sure which one is better, though I’m guessing that data can be live inside dash graphs. I don’t think this will matter too much with the embedding charts, but it’s good to know
- Hot-reloading is cool, and works with data or text changes. And the management of the html is nice. It appears to be based on a React engine and it’s nice to not have to care!
- CSS-type styling works! If you make an error in the code, the program bails with an error message
- 3:30 Meeting – cancelled