| """ | |
| Grunt.js was too complex for me. after adding a third project, | |
| we ran into some wierd timer.js errors and gave up. | |
| This python solution is pretty straightforward | |
| and works well enough. | |
| """ | |
| import subprocess | |
| import sys | |
| import time | |
| from watchdog.observers import Observer |
| // This file was generated by modules-webmake (modules for web) project. | |
| // See: https://github.com/medikoo/modules-webmake | |
| (function (modules) { | |
| var getModule, getRequire, require; | |
| getModule = (function (wrap) { | |
| return function (scope, tree, path, fullpath) { | |
| var name, dir, exports, module, fn, isDir; | |
| path = path.split('/'); | |
| name = path.pop(); |
| import sys | |
| #url = "http://localhost:5006/bokeh/doc/line/show" | |
| url = "http://10.10.0.121:5006/bokeh/doc/line/show" | |
| def start(): | |
| app_created = False | |
| app = QtCore.QCoreApplication.instance() | |
| if app is None: | |
| app = QtGui.QApplication(sys.argv) | |
| app_created = True | |
| return app |
###Conda Deploy Conda deploy command is a command used to auto-tag and deploy multiple packages. The idea would be to make it a one step operation to auto-tag a bunch of packages, and build a bunch of packages which point to the versions that were just tagged
conda deploy deploy.yaml
deploy.yaml contains
project1:
| 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] |
| 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 |
| 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): |
| 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] |
| 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) |
| import os | |
| from os.path import join, getctime, dirname | |
| import glob | |
| import subprocess |