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mccurcio / ipak.R
Created September 30, 2016 22:54 — forked from stevenworthington/ipak.R
Install and load multiple R packages at once
# ipak function: install and load multiple R packages.
# check to see if packages are installed. Install them if they are not, then load them into the R session.
ipak <- function(pkg){
new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
if (length(new.pkg))
install.packages(new.pkg, dependencies = TRUE)
sapply(pkg, require, character.only = TRUE)
}
---
title: "Codebook template"
author: "Your name here"
date: "The date here"
output:
html_document:
keep_md: yes
---
## Project Description
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>...</title>
<meta name="description" content="...">
<meta name="viewport" content="width=device-width,initial-scale=1.0">
<meta name="author" content="bartek.bobko@gmail.com">
<link rel="shortcut icon" href="favicon.ico">
</head>

Install Jekyll

Prerequisites - install Ruby and Bundler globally for your user.

Install Jekyll in a project

Jekyll 3.9

This is the version that runs on GH Pages.

@mccurcio
mccurcio / ds-project-organization.md
Last active May 13, 2022 01:32 — forked from ericmjl/ds-project-organization.md
How to organize your Python data science project

How To Organize A Data Science Project

I'd like to share some ideas & practices that I have come to adopt in organizing my projects.

This is NOT a definitive guide to organizing a data project; rather, tips that you can adapt to your own projects.

I found several locations where some good discussions are held on the topic.