erykml

start_session = pd.Timestamp('2017-01-02', tz='utc')
end_session = pd.Timestamp('2017-12-29', tz='utc')

# register the bundle
register(
    'eu_stocks',  # name we select for the bundle
    csvdir_equities(
        # name of the directory as specified above (named after data frequency)
        ['daily'],
        # path to directory containing the

AnasAlmasri

import twitter

# initialize api instance
twitter_api = twitter.Api(consumer_key='YOUR_CONSUMER_KEY',
                        consumer_secret='YOUR_CONSUMER_SECRET',
                        access_token_key='YOUR_ACCESS_TOKEN_KEY',
                        access_token_secret='YOUR_ACCESS_TOKEN_SECRET')

# test authentication
print(twitter_api.VerifyCredentials())

ceshine

# Reference: https://svds.com/jupyter-notebook-best-practices-for-data-science/
import os
from subprocess import check_call

def post_save(model, os_path, contents_manager):
    """post-save hook for converting notebooks to .py scripts"""
    if model['type'] != 'notebook':
        return # only do this for notebooks
    d, fname = os.path.split(os_path)
    check_call(['jupyter', 'nbconvert', '--to', 'script', fname], cwd=d)