kstohr

SHORTCUTS

Key/Command	Description
Tab	Auto-complete files and folder names
Ctrl + A	Go to the beginning of the line you are currently typing on
Ctrl + E	Go to the end of the line you are currently typing on
Ctrl + U	Clear the line before the cursor
Ctrl + K	Clear the line after the cursor
Ctrl + W	Delete the word before the cursor
Ctrl + T	Swap the last two characters before the cursor

kstohr

class MyLogger(object):
    def debug(self, msg):
        pass

    def warning(self, msg):
        pass

    def error(self, msg):
        #job = get_current_job()
        #job.meta['progress'] = msg

kstohr

from subprocess import Popen, PIPE

cmd = 'python some_python_script.py'
p = subprocess.Popen(cmd, shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE)
stdout, stderr = p.communicate()
stdout.splitlines() 

kstohr

# coding: utf-8

"""
websocket connection to watson speech-to-text API
adapted from: https://github.com/watson-developer-cloud/speech-to-text-websockets-python 
speech recognition using the WebSocket interface to the Watson Speech-to-Text service

This is an updated version of the sample websocket connection created by the IBM Watson team (@daniel-bolanos) and included in their documentation. 

Main changes: 

kstohr

from slackclient import SlackClient
import json
import requests

# Store your data output/analysis as a variable named 'attachment' 
# See: https://api.slack.com/docs/messages

attachment = {"text": "And, here is an attachment"}

# Output to json, if in other format

kstohr

import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import plotly 
import plotly.plotly as py
import plotly.graph_objs as go
from plotly.graph_objs import *
from plotly.offline import download_plotlyjs, init_notebook_mode, iplot
import plotly.tools as tls

kstohr

import os
import traceback
import logging
import facebook
import requests
import pandas as pd
import json
import time
import numpy as np
from pandas.io.json import json_normalize

kstohr

web: NODE_ENV=production node server.js

kstohr

Bubble charts encode data in the area of circles. Although less perceptually-accurate than bar charts, they can pack hundreds of values into a small space. Implementation based on work by Jeff Heer. Data shows the Flare class hierarchy, also courtesy Jeff Heer.

kstohr

#!/usr/bin/python2


# Copyright (C) 2016 Sixten Bergman
# License WTFPL
#
# This program is free software. It comes without any warranty, to the extent
# permitted by applicable law. 
# You can redistribute it and/or modify it under the terms of the Do What The
# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See