Matthew Rocklin mrocklin

## http-mesos-tornado.py
from collections import deque
import json

from tornado.ioloop import IOLoop
from tornado.httpclient import AsyncHTTPClient, HTTPRequest
from tornado import gen


bytes_buffer = deque()
messages = []

## trace.py
import os

from dask.callbacks import Callback
from dask.dot import dot_graph


class Track(Callback):
    def __init__(self, path='dasks'):
        self.path = path
        self.n = 0

## dplyr_pandas.ipynb

      
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                mrocklin
                / dplyr_pandas.ipynb
            
            
              Last active
              August 29, 2015 14:07
                — forked from TomAugspurger/dplyr_pandas.ipynb
            
          
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## func_plot.py
from numpy import linspace, sin
from pylab import plot, figure, show

def plotFunction(f):
    """ Plot a function on the domain x in (-10, 10) """
    xs = linspace(-10, 10, 100)
    ys = map(f, xs)
    plot(xs, ys)

def derivative(f, dx=.00001):
	from collections import deque
	import json

	from tornado.ioloop import IOLoop
	from tornado.httpclient import AsyncHTTPClient, HTTPRequest
	from tornado import gen


	bytes_buffer = deque()
	messages = []
	import os

	from dask.callbacks import Callback
	from dask.dot import dot_graph


	class Track(Callback):
	def __init__(self, path='dasks'):
	self.path = path
	self.n = 0
	from numpy import linspace, sin
	from pylab import plot, figure, show

	def plotFunction(f):
	""" Plot a function on the domain x in (-10, 10) """
	xs = linspace(-10, 10, 100)
	ys = map(f, xs)
	plot(xs, ys)

	def derivative(f, dx=.00001):