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

yihui

See http://animation.r-forge.r-project.org/knitr/ for a preview of all knitr themes in HTML, and http://rclickhandbuch.files.wordpress.com/2014/09/knitrthemesoverview.pdf for a preview in LaTeX (credit to Berry Boessenkool).

The knitr themes manual can be found at (Rnw source).

mblondel

# (C) Mathieu Blondel, November 2013
# License: BSD 3 clause

import numpy as np


def ranking_precision_score(y_true, y_score, k=10):
    """Precision at rank k

    Parameters

Chaser324

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

jiggneshhgohel

Download http://airdownload.adobe.com/air/lin/download/2.6/AdobeAIRInstaller.bin

Make the .bin file executable

$ chmod a+x AdobeAIRInstaller.bin

Run the .bin file by executing following

DrLulz

#!/usr/local/bin/python
import os
import sys
import csv
from operator import itemgetter
from bs4 import BeautifulSoup
from anki import Collection as aopen
 
 
usmle_rx = open("/Users/drlulz/Desktop/test.html",'r').read()

noamross

### Title: Back to basics: High quality plots using base R graphics
###	An interactive tutorial for the Davis R Users Group meeting on April 24, 2015
###
### Date created: 20150418
### Last updated: 20150423
###
### Author: Michael Koontz
### Email: mikoontz@gmail.com
###	Twitter: @michaeljkoontz
###

patperu

library(httr)
library(jsonlite)
library(tidyverse)

# Keys, but it's better to set up 
# environment variables via 'Sys.setenv'
consumerKey    <- "aaa"
consumerSecret <- "bbb"

immo24_app <- oauth_app(appname = "app", 

DavidGeistert

#install.packages('ReporteRs')
library('ReporteRs') # Load ReporteRs Package
pres.builder  <- pptx(template = '.../Master.pptx')
pres.filename <- ".../R-Meetup_Output.pptx"

# Show slide names
pres.builder

# Build Title slide
pres.builder  <- addSlide( pres.builder, "Title slide" ,bookmark = 1) # Slide name='Title slide', bookmark=1 <- overwrites first slide

danielappelt

D3 Links
--------
https://d3js.org/
https://bost.ocks.org/mike/bar/
https://jsfiddle.net/tLgp7qvv/ -> skalierender Bar Chart (abgewandelt von Teil 2 des Tutorials)

Javascript testen
-----------------
https://jsfiddle.net/