nmkridler

5 ms·

1.
by nmkridler 9y ago
I would agree that pyxley never came close to the functionality of Shiny, but my goal was a little different. My goal was to make a set of reusable components that were also really flexible. I wanted to be able to mix custom things with gen
2.
by nmkridler 11y ago
I think the quote and definition from the blog is a good one: “better engineers than statisticians and better statisticians than engineers”. Perhaps that 1997 quote was influential in the decision to use the term Data Science, I think the c
3.
by nmkridler 11y ago
What you are describing is a statistician and that's perfectly fine, but lumping them in with data scientists devalues the role for those of us doing more.
4.
by nmkridler 11y ago
I completely disagree, data scientists who can not create the data they need are at a significant disadvantage to those who can. Our job is more than being able to analyze and interpret data. If you have someone in your organization that sp
5.
by nmkridler 11y ago
Yup, that one. I planned on simply filtering a pandas dataframe using the request.args that are passed in. The javascript components can be used directly, but I wrote the python wrappers as a convenience for really simple dataframes.
6.
by nmkridler 11y ago
The flask dependency is pretty strong because I used the requests module for the api route functions. It should be possible to override it and use django instead, but I don't know django that well. It's probably a good idea to sep
7.
by nmkridler 11y ago
It shouldn't be too bad. My goal was just to make it a little simpler to do the basic things like formatting the data as json for a particular charting library. The python helpers just set up the APIs. I made an example called custom_r