hhuuggoo

Loosely based off of: https://zero-to-jupyterhub.readthedocs.io/en/latest/amazon/step-zero-aws.html

AWS setup

Create an IAM role with these permissions:

AmazonEC2FullAccess IAMFullAccess

hhuuggoo

(add-to-list 'load-path "/Users/hugo/.emacs.d/lisp")
(add-to-list 'auto-mode-alist '("\\.ini\\'" . python-mode))
(require 'ido)
(require 'uniquify)
(require 'pbcopy)
(require 'etags-select)
(require 'find-file-in-tags)
(require 'cython-mode)
(add-to-list 'auto-mode-alist '("\\.pyx\\'" . cython-mode))
;;;###autoload

hhuuggoo

package:                                                                                                                                                                                                                                                                                                                                                                    
  name:  examplepackage                                                                                                                                                                                                                                                                                                                                                     
  version: "1.0"                                                                                                                                                                                                                                                                                      

hhuuggoo

from os.path import join, dirname                                                                                                                                                                                                                                                
                                                                                                                                                                                                                                                                                 
from blaze import resource                                                                                                                                                                                                                                                       
from blaze.server import Server                                                                                                                                                                           

hhuuggoo

import os                                                                                                                                                                                                                                                                        
from os.path import join, getctime, dirname                                                                                                                                                                                                                                      
import glob                                                                                                                                                                                                                                                                      
import subprocess                                                                                                                                                                                         

hhuuggoo

stocks1=['AAPL', 'BRCM', 'INTC', 'GOOG']
stocks2 = stocks2
time_range=[dt.datetime(2011,1,1), dt.datetime(2014,1,1)]

## interact automatically generates widgets for the input.  We can also allow the user to 
## specify pass in actual widgets later.  In a bokeh-server application, we would actually have 
## to clone the widgets each time a new user browsed to the page
@interact(stocks1=stocks1, stocks2=stocks2, time_range=time_range):
def create(stocks1, stocks2, time_range, selection=None):
    data = filter(data, stocks1, stocks2, time_range, selection)

hhuuggoo

from matplotlib.colors import rgb2hex
import matplotlib.cm as cm

greys = [cm.Greys_r(x) for x in range(255)]
greys = [rgb2hex(x) for x in greys]

hhuuggoo

import requests
import sys
import datetime as dt
import os
from os.path import exists, join
import cPickle as pickle
from pyquery import PyQuery as PQ
from dateutil.parser import parse as _dparse

def dparse(input_string):

hhuuggoo

ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQC33Y3DWoppUdDG2ZV6Hcmpp+KmprqTQREPWfw3kBQiiZKPraDtlE7jiUKlc1UPdt44K9lTQAXmaqI7vrbK4L6T/PJG+qu/7Li6/IY3vXbIeHAo90FtQo2IrKNaTKmiolc7T0SfjBzWggIeM/Zs+0DI7qSbvV6cy5wU8XDbtcDKcfl1Bzs59rQ47lStWkTv/QZC0DxUWlyL48c66GUM4KuMbqCsdif/2Ku74cghcbPOfXbep/EFrEbNiaypGM+ZQ3xG1xhddYXBfwTksLjt89+Z7Ul5iImyqsgUZcfY/ClMMy0JljL2ZZVnDxof4SreKAfvc3r5C01o5cbA+D6pnh7v hugoshi@boingy

ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCpv11Ur+/2hEQztXj2rUprPA8h73qWmuQdzqTf04vcdLzeZDAYUJEUtExUnNjVrEt/gdmAi335if6Zjhwzs6nNWfw3ClU3zVwz0eNlFiU+oKaQrLbnuXhQlnIo3MTPlKu6bdbTc/DsXtMed4K+JwuE9m9BkLgrIl+2V2z4kslZcp3X695i68b9HlmXPNu1lYBS1MziMcwSpPLulfxyR5eJkqYHxlW0+BaYfENWmcvF+fhf3igQujtZ6IrGa3zjWrXtG6vv1vmlG3Gw4oq597c5bCRgaCqcUXdAcKmisbOHBvVPdbCHFL7dsQZ0p0CEm4dL16MD+zFksScEUm5DIONR
ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQC3RGRLo/2BQvWa/Y3tFsYzmAhj0ifvxXptj05gJJhLHDo6PqrgKC5ZABdb5lGAGTNBOUe9yGeQQAE72Ucnh8Uz4DnnyYeaSFAGppjoJZtgQBG6NoypnNnvhtPhPxW/JI+L3nbvN1XUFtS/TO5TXSnxRkzetBXQBreQVAkAvT53OH6DtgInk7bnvj7AlgL+n6Bvj+jP3SmdCM7F4j

hhuuggoo

class Demo(HBox):
    extra_generated_classes = [["Demo", "Demo", "VBox"]]
    plot = Instance(Plot)
    AR_select = Instance(Select)
    @classmethod
    def create(cls):
        obj = cls()
        obj.plot = make_plot(you define this function)
        obj.AR_select = Select(name='ar_method', value='cube', options=['cube', 'best'])
        obj.children = [obj.AR_select, obj.plot]