Nathan Gould ngould

What

Roll your own iPython Notebook server with Amazon Web Services (EC2) using their Free Tier.

What are we using? What do you need?

An active AWS account. First time sign-ups are eligible for the free tier for a year
One Micro Tier EC2 Instance
With AWS we will use the stock Ubuntu Server AMI and customize it.
Anaconda for Python.
Coffee/Beer/Time

Using websockets to easily build GUIs for Python programs

I recently built a small agent-based model using Python and wanted to visualize the model in action. But as much as Python is an ideal tool for scientific computation (numpy, scipy, matplotlib), it's not as good for dynamic visualization (pygame?).

You know what's a very mature and flexible tool for drawing graphics? The DOM! For simple graphics you can use HTML and CSS; for more complicated stuff you can use Canvas, SVG, or WebGL. There are countless frameworks, libraries, and tutorials to help you draw exactly what you need. In my case, this was the animation I wanted:

(Each row represents a "worker" in my model, and each rectangle represents a "task.")

	import numpy as np
	import pylab as pl

	x = np.random.uniform(1, 100, 1000)
	y = np.log(x) + np.random.normal(0, .3, 1000)

	pl.scatter(x, y, s=1, label="log(x) with noise")
	pl.plot(np.arange(1, 100), np.log(np.arange(1, 100)), c="b", label="log(x) true function")
	pl.xlabel("x")
	pl.ylabel("f(x) = log(x)")

	from sklearn.datasets import load_iris
	from sklearn.ensemble import RandomForestClassifier
	import pandas as pd
	import numpy as np

	iris = load_iris()
	df = pd.DataFrame(iris.data, columns=iris.feature_names)
	df['is_train'] = np.random.uniform(0, 1, len(df)) <= .75
	df['species'] = pd.Factor(iris.target, iris.target_names)
	df.head()

	#!/bin/bash

	EXEC_SCRIPT=/opt/local/bin/airflow
	CMDNAME=`basename $0`
	LOG_DIR=/var/log/airflow
	PID_DIR=/var/run
	PID_FILE="$PID_DIR"/airflow_webserver.pid
	LOG_FILE="$LOG_DIR"/webserver.log
	PORT=8888
	RUN_USER=vagrant