danni

from django import forms
from django.contrib.postgres.fields import ArrayField


class ChoiceArrayField(ArrayField):
    """
    A field that allows us to store an array of choices.
    
    Uses Django 1.9's postgres ArrayField
    and a MultipleChoiceField for its formfield.

mrocklin

This is in response to https://peadarcoyle.wordpress.com/2016/03/02/a-map-of-the-pydata-stack/ . It started off as an e-mail but I decided to keep things public.

First, let me just say that I think that reproducing the ML decision graph is a really cool idea. I suspect that it'll get hairy for a while as people speak up. I'll speak up below, but I'm obviously invested in some of these projects, so you should probably take everything I say with a grain of salt. OK, here we go:

To me scientific data overlaps with tabular and array. It's not clear that the choice between {array, dataframe, scientific} is easy to make "Well, I have scientific array data, what do I choose now?"

The same issue exists somewhat for time-series "Well, I have tabular time series, which branch do I take?" I recommend removing Castra from the map, it's not a very serious project.

I can envision a separate map for storage technologies (hdf5, netcdf, bcolz, castra, csv, parquet, ...) It's odd to have both computational system

oroce

user www-data;
worker_processes 1;
pid /var/run/nginx.pid;

events {
    worker_connections 1024;
}

http {
    sendfile on;

ttscoff

// Marker, a bookmarklet for Markdownifying webpage selections
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(function () {
	function callback() {
		(function ($) {
			var raw, userSelection;
			if (window.getSelection) {
				// W3C Ranges
				userSelection = window.getSelection ();
				// Get the range:

ttscoff

javascript:(function(){var p=document.createElement("p");p.innerHTML="<strong>Loading&hellip;</strong>";p.id="loadingp";p.style.padding="20px";p.style.background="#fff";p.style.left="20px";p.style.top=0;p.style.position="fixed";p.style.zIndex="9999999";p.style.opacity=".85";document.body.appendChild(p);document.body.appendChild(document.createElement("script")).src="https://cdn.rawgit.com/ttscoff/6109434/raw/Bullseye.js?x="+(Math.random());})();

ttscoff

javascript:(function(){var p=document.createElement("p");p.innerHTML="<strong>Loading&hellip;</strong>";p.id="loadingp";p.style.padding="20px";p.style.background="#fff";p.style.left="20px";p.style.top=0;p.style.position="fixed";p.style.zIndex="9999999";p.style.opacity=".85";document.body.appendChild(p);document.body.appendChild(document.createElement("script")).src="https://gist.github.com/ttscoff/5834741/raw/grablinks.js?x="+(Math.random());})();

hrldcpr

One-line Tree in Python

Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!

mbostock

height: 760
license: gpl-3.0