martinapugliese

# Copyright (C) 2016 Martina Pugliese

from boto3 import resource
from boto3.dynamodb.conditions import Key

# The boto3 dynamoDB resource
dynamodb_resource = resource('dynamodb')


def get_table_metadata(table_name):

randallreedjr

Working with git remotes on Heroku

Generally, you will add a git remote for your Heroku app during the Heroku app creation process, i.e. heroku create. However, if you are working on an existing app and want to add git remotes to enable manual deploys, the following commands may be useful.

Adding a new remote

Add a remote for your Staging app and deploy

Note that on Heroku, you must always use master as the destination branch on the remote. If you want to deploy a different branch, you can use the syntax local_branch:destination_branch seen below (in this example, we push the local staging branch to the master branch on heroku.

$ git remote add staging https://git.heroku.com/staging-app.git

yossorion

What I Wish I'd Known About Equity Before Joining A Unicorn

Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.

This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would

ibraheem4

Installing Postgres via Brew

Pre-Reqs

Brew Package Manager

In your command-line run the following commands:

1. brew doctor
2. brew update

wronk

Overview of Python Virtual Environments

This guide is targetted at intermediate or expert users who want low-level control over their Python environments.

When you're working on multiple coding projects, you might want a couple different version of Python and/or modules installed. This helps keep each workflow in its own sandbox instead of trying to juggle multiple projects (each with different dependencies) on your system's version of Python. The guide here covers one way to handle multiple Python versions and Python environments on your own (i.e., without a package manager like conda). See the Using the workflow section to view the end result.

h/t @sharkinsspatial for linking me to the perfect cartoon