C_resources.md

#Resources

Unix

Git

1. Try Git

##R

1. R Twotorial
2. Digital History Methods in R
3. Google Developer's R Tutorials
4. Cookbook for R
5. UC Berkeley's R Bootcamp
6. Hadley Wickham's Advanced R Book
7. R for Python Programmers

##Python

1. Code like a Pythonista: Ideomatic Python
2. Best Python Resources for Beginners and Professionals
3. The Highhiker's Guide to Python
4. Lean Python the Hard Way
5. Google's Python Class
6. Python Module of the Week
7. A Crash Course in Python for Scientists
8. PEP Style Guide for Python Code
9. Think Python
10. Wikibooks Non-Programmer's Tutorial for Python 2.6

##Text Analysis

1. Graham Williams: Hands-On Data Science with R Text Mining
2. Matthew Jockers: Introduction to Text Analysis and Topic Modeling with R
3. Special issue of Journal of Digital Humanities on Topic Modelling

##Cleaning Data

1. Tidy Data
2. Cleaning Data with OpenRefine

##Geospatial Analysis

1. Applied Spatial Data Analysis with R
2. Introduction to Spatial Data and ggplot2
3. Working with Geospatial Data in R and with ggplot

##APIs and Webscraping

1. Webscraping with Selenium
2. Easy Web Scraping with Python (beautiful soup)
3. Web Scraping 101 with Python (beautiful soup)
4. I Don't Need No Stinking API
5. Beautiful Soup Documentation
6. Beautiful Soup 4 Python Tutorial

Other

1. Statistical Analysis of Network Data with R