Vermin2000

5 ms·

31.
Ozymandias(blog.engora.com)
3 points by Vermin2000 10mo ago|1 comments
32.
by Vermin2000 10mo ago
Two poems about Ozymandias (king of kings) and some background.
33.
by Vermin2000 10mo ago
A quick explainer on sonification with several examples and some possible uses cases in business.
34.
Data sonification: a curious oddity that may have some uses(blog.engora.com)
1 points by Vermin2000 10mo ago|1 comments
35.
Some musings on code generation: kintsugi(blog.engora.com)
1 points by Vermin2000 11mo ago|1 comments
36.
by Vermin2000 11mo ago
Some of my thoughts on the strengths and weakness of code generation and how you can make things better.
37.
Data scientists need to learn JavaScript(blog.engora.com)
1 points by Vermin2000 11mo ago|1 comments
38.
by Vermin2000 11mo ago
Data scientists need to move up the food chain and build their own apps. Even with code gen, that means knowing JavaScript.
39.
Rapidly build data science apps with code gen(blog.engora.com)
1 points by Vermin2000 11mo ago|1 comments
40.
by Vermin2000 11mo ago
I built a chart-heavy data science app using code gen and modern deployment tools. I describe the process and the pitfalls. With the right skills, data scientists can build apps very quickly.
41.
Dalhalla – a concert venue in an old quarry(dalhalla.se)
2 points by Vermin2000 11mo ago|1 comments
42.
by Vermin2000 11mo ago
Dalhalla is a concert venue based in an old limestone quarry in Sweden. Its acoustics are supposed to be fantastic. The pictures look stunning. https://www.dalhalla.se/en/om-dalhalla/
43.
by Vermin2000 11mo ago
I'm working on an app to display charts, analysis, and data on English football league games. The real goal is to figure out how to use code gen AI (Cursor) effectively for data science projects and to figure out rapid deployment. I&#x
44.
'Secret' underground energy could heat every home in capital city(bbc.com)
2 points by Vermin2000 11mo ago|1 comments
45.
by Vermin2000 11mo ago
How urban groundwater could be used with heat pumps to cost-effectively heart homes in Cardiff, Wales. The headline is poor, but the concept is interesting.
46.
Frankenstein, vampire, and volcano: dinner at Lake Geneva(blog.engora.com)
2 points by Vermin2000 1y ago|1 comments
47.
by Vermin2000 1y ago
How a dinner party 209 years ago gave us both Frankenstein and the modern vampire legend.
48.
Regression to the Mean(blog.engora.com)
1 points by Vermin2000 1y ago|1 comments
49.
by Vermin2000 1y ago
An explanation of regression to the mean and some real world examples.
50.
In English football, more money = more goals(blog.engora.com)
2 points by Vermin2000 1y ago|2 comments
51.
by Vermin2000 1y ago
I've analyzed team value and goals scored/conceded in English football. The pattern is clear: more money = more goals scored and fewer conceded. I've made it interactive so you can play with the data.
52.
A better approach to internal reporting(blog.engora.com)
1 points by Vermin2000 1y ago|1 comments
53.
by Vermin2000 1y ago
Creating report using Python and the existing intranet is better than using BI tools to do the same job.
54.
How to build a server-less web app with charts(blog.engora.com)
1 points by Vermin2000 1y ago|1 comments
55.
by Vermin2000 1y ago
Here's how I built a reasonably complex interactive web app with charts and widgets, that doesn't require a server on the backend to provide data.
56.
US Federal Government spending app(blog.engora.com)
2 points by Vermin2000 1y ago|1 comments
57.
by Vermin2000 1y ago
A small app that allows you to dig into some aspects of US federal government spending. Note the whole app is a single file (there's no data server used).
58.
In football, which is better: youth or experience?(blog.engora.com)
1 points by Vermin2000 1y ago|1 comments
59.
by Vermin2000 1y ago
I'm looking at the effect of club mean age on goals scored in English football for the top leagues over decades. Bottom line: there's a small effect. Youth wins.
60.
Do dashes indicate AI writing?(blog.engora.com)
1 points by Vermin2000 1y ago|4 comments

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