| def add(x, to=1): | |
| return x + to | |
| def divide(x, by=2): | |
| return x/by | |
| def square(x): | |
| return x**2 | |
| def invalid_op(x): |
| import requests | |
| import pandas as pd | |
| BASE_URL = 'https://api.airtable.com/v0/' | |
| def airtable_to_dataframe(base_name, table_name, api_key): | |
| header = {'Authorization': 'Bearer ' + api_key} | |
| data = [] | |
| r = requests.get(BASE_URL + base_name + '/' + table_name, headers=header) |
| """ | |
| Copyright (C) 2017 Michael von den Driesch | |
| This file is just a simple implementation of a python class allowing for various | |
| *booking* types (LIFO, FIFO, AVCO) | |
| This *GIST* is free software: you can redistribute it and/or modify it | |
| under the terms of the BSD-2-Clause (https://opensource.org/licenses/bsd-license.html). | |
| This program is distributed in the hope that it will be useful, but WITHOUT |
The first step is to setup an EC2 Ubuntu 16.04 instance that you can ssh into. I won't go into detail here but you should be able to easily google it.
You can get free AWS credit here https://education.github.com/pack
A better guide w/ pictures is here: https://chrisalbon.com/jupyter/run_project_jupyter_on_amazon_ec2.html (Note this doesn't include LetsEncrypt, so it only has self signed certificates)
Once you've setup an instance and ssh'd in, do the following:
| /* | |
| updated 2018-04-28 | |
| source lives here: https://gist.github.com/nicobrx/2ecd6fc9ca733dcd883afebba5cf200e | |
| standalone script ID for use as a library: 1gZ78JObyrYiH0njoZ86fQ2NgMwavUgiXVhRDrIFetPZL256e31PSNiHq | |
| Functions included here: | |
| Sheets data array and object functions | |
| objectifySheet(sheet,propertyNames,newPropertyNames) - Takes a sheet with a header row and converts it into an array of objects | |
| arrayFromSheet(sheet,propertyNames,newPropertyNames) - creates an array from a sheet, can specify column headers |
Ref : stackoverflow
The best solution in my opinion is to use the unittest [command line interface][1] which will add the directory to the sys.path so you don't have to (done in the TestLoader class).
For example for a directory structure like this:
new_project
├── antigravity.py
| """ | |
| Generate PDF reports from data included in several Pandas DataFrames | |
| From pbpython.com | |
| """ | |
| from __future__ import print_function | |
| import pandas as pd | |
| import numpy as np | |
| import argparse | |
| from jinja2 import Environment, FileSystemLoader | |
| from weasyprint import HTML |
| """ | |
| HTML logger inspired by the Horde3D logger. | |
| Usage: | |
| - call setup and specify the filename, title, version and level | |
| - call dbg, info, warn or err to log messages. | |
| """ | |
| import logging | |
| import time |
| """making a dataframe""" | |
| df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB')) | |
| """quick way to create an interesting data frame to try things out""" | |
| df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd']) | |
| """convert a dictionary into a DataFrame""" | |
| """make the keys into columns""" | |
| df = pd.DataFrame(dic, index=[0]) |