CristinaSolana

1. Clone your fork:

git clone git@github.com:YOUR-USERNAME/YOUR-FORKED-REPO.git

2. Add remote from original repository in your forked repository:

cd into/cloned/fork-repo
git remote add upstream git://github.com/ORIGINAL-DEV-USERNAME/REPO-YOU-FORKED-FROM.git
git fetch upstream

lambdamusic

-- HOWTO:
-- after saving it, open with Script Editor (default) and run it

-- PREREQUISITES:
-- make sure your Keynote presentation is open in the background 

-- AFTER EXPORT:
-- if you can't open the file due to encoding errors, open with Sublime (or another a text editor) and then "File / Save with encoding / UTF8"

tell application "Keynote"

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!

jadia

zsh | (anon):12: character not in range

Solution:

sudo apt-get install -y language-pack-en
sudo update-locale

Then zsh starts working!