ianozsvald

"""Query AlchemyAPI to determine number of API calls still available"""
# -*- coding: utf-8 -*-
import json
import requests

def get_api_key():
    # Load API key (40 HEX character key) from local file
    key = open('api_key.txt').readline().strip()
    return key

ianozsvald

#!/bin/sh
echo "Starting mongo"
mongod --config=./mongodb.conf & 
sleep 2
# tail the log named in the config file 
LOG_PATH=`grep -o "^logpath=.*" mongodb.conf | cut -b 9-`
echo "Tailing" $LOG_PATH
tail -f $LOG_PATH

ianozsvald

"""Hackish script to convert a notebook into

Note that the content of markdown cells is not translated: it is assumed to
hold asciidoc content instead (even if it does not render correctly in the
browser editing the notebook file).

This script could be improved to use pandoc to handle the conversion instead.

Sample usage:

ianozsvald

# take a bootstrap sample to calculate CI on counts of items
def bootstrap_sample_on_array(items, quantiles=[0.025, 0.975], n_bootstrap_samples = 1000):
    all_counts = []
    for n in range(n_bootstrap_samples):
        sample_ids = np.random.randint(low=0, high=items.shape[0], size=items.shape[0])
        sample = items[sample_ids]
        uniq, cnts = np.unique(sample, return_counts=True)
        c = dict(zip(uniq, cnts))
        all_counts.append(c)
    all_counts = pd.DataFrame(all_counts).fillna(0)