erajanraja24

exports = async function(payload) {
    const mongodb = context.services.get("mongodb-atlas");
    const eventsdb = mongodb.db("googlesheetsdb");
    const eventscoll = eventsdb.collection("employee_records");
    const result= await eventscoll.insertOne(payload.query);
    var id = result.insertedId.toString();
    if(result) {
        return JSON.stringify(id,false,false);  
     }
    return { text: `Error saving` };

ericmjl

UPDATE: I have baked the ideas in this file inside a Python CLI tool called pyds-cli. Please find it here: https://github.com/ericmjl/pyds-cli

How to organize your Python data science project

Having done a number of data projects over the years, and having seen a number of them up on GitHub, I've come to see that there's a wide range in terms of how "readable" a project is. I'd like to share some practices that I have come to adopt in my projects, which I hope will bring some organization to your projects.

Disclaimer: I'm hoping nobody takes this to be "the definitive guide" to organizing a data project; rather, I hope you, the reader, find useful tips that you can adapt to your own projects.

Disclaimer 2: What I’m writing below is primarily geared towards Python language users. Some ideas may be transferable to other languages; others may not be so. Please feel free to remix whatever you see here!

aparrish

lhorie

console.log(`%c ________________________________________
< mooooooooooooooooooooooooooooooooooooo >
 ----------------------------------------
        \\   ^__^
         \\  (oo)\\_______
            (__)\\       )\\/\\
                ||----w |
                ||     ||`, "font-family:monospace")

zircote

ssh-keygen -y -f private_key1.pem > public_key1.pub 

davej

# -*- coding: utf-8 -*-
"""
This script will delete all of the tweets in the specified account.
You may need to hit the "more" button on the bottom of your twitter profile
page every now and then as the script runs, this is due to a bug in twitter.

You will need to get a consumer key and consumer secret token to use this
script, you can do so by registering a twitter application at https://dev.twitter.com/apps

@requirements: Python 2.5+, Tweepy (http://pypi.python.org/pypi/tweepy/1.7.1)