Updated this for the first time in awhile in late 2020.
- Enable iCloud
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# Video: http://rubyhoedown2008.confreaks.com/08-chris-wanstrath-keynote.html | |
Hi everyone, I'm Chris Wanstrath. | |
When Jeremy asked me to come talk, I said yes. Hell yes. Immediately. But | |
then I took a few moments and thought, Wait, why? Why me? What am I supposed | |
to say that's interesting? Something about Ruby, perhaps. Maybe the | |
future of it. The future of something, at least. That sounds | |
keynote-y. | |
I wrote a Python script to fetch these URLs using the GitHub API.
---------- Forwarded message ---------- | |
From: chris wiggins <chris.wiggins@[YYY].edu> | |
Date: Wed, Aug 1, 2012 at 7:26 PM | |
Subject: stats history | |
To: hadley@[XXX].edu | |
Cc: chris wiggins <chris.wiggins@[YYY].edu> | |
Dear Hadley: |
This is an unofficial documentation for the internal lolesports.com api.
This documentation is uncomplete and currently only show all information I got so far. Please help me complete and correct this documentation.
The domain for the intern lolesports.com api is http://api.lolesports.com/api/.
--> A beginner's guide to nflfastR <--
I get a lot of questions about how to get nflscrapR up and running. This guide is intended to help new users build interesting tables or charts from the ground up, taking the raw nflscrapR data.
Quick word if you're new to programming: all of this is happening in R. Obviously, you need to install R on your computer to do any of this. Make sure you save what you're doing in a script (in R, File --> New script) so you can save your work and run multiple lines of code at once. To run code from a script, highlight what you want, right click, and select Run line. As you go through your R journey, you might get stuck and have to google a bunch of things, but that's totally okay and normal. That's how I wrote this thing!