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  • Publications
  • Resources
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Resources


Getting Started

  • How to Think Like a Computer Scientist​​
  • Unix Tutorial for Beginners
  • The Unix Workbench
  • Version Control with Git

Python

Overview
  • The Hitchhiker's Guide
  • Package Management with Anaconda
  • Gallery of Interesting Jupyter Notebooks
Algorithms
  • Problem Solving with Algorithms & Data Structures
  • Project Euler
Data Analysis
  • Chris Albon's Notes
  • Python Data Science Handbook
  • Python Data Analysis Library
  • Data Science Tools
Text Processing 
  • Python Tutorials for NLP
  • Natural Language Toolkit
  • TextBlob 
  • spaCy for NLP 
  • Gensim 
Mining & Scraping
  • Mining the Social Web
  • Querying Craigslist​
  • Beautiful Soup
  • Scrapy

R

  • Cookbook for R
  • R Tutorials
  • R Tutorial Series
  • Quick R
  • R Markdown
  • Mixed Effects Models
  • GAMM Analysis ​
  • GGPlot2

Open Data Sets

  • Stanford Large Network Datasets
  • NLP Datasets
  • Open Data on AWS
  • Figure 8: Data for Everyone
  • Wikipedia
  • WaCKy Corpora
  • Hathi Trust Digital Library
  • ACL Resources

NLP

  • Analyzing Linguistic Data
  • Natural Language Processing with Python
  • Deep Learning Textbook​
  • Speech and Language Processing​
  • FastAI: A Code-First Approach to NLP
  • Text Analysis with R for Students of Literature
Visualizations
  • D3 Gallery
  • Bookworm for Text Viz
SQL
  • Mode Analytics SQL Tutorial 
  • SQL for Data Science
  • SQL Alchemy step-by-step

Experiment Builders

  • PsychoPy
  • jspsych
  • psiturk
  • Ibex Farm

Experiment Design Resources

  • The Language Goldmine Database
  • Corpus of Contemporary American English 
  • Google Search Matrix
  • Wordnet
  • Framenet
  • Concept Net
  • Image Net
  • Concreteness Ratings
  • Lexical Decision Data
  • English Lexicon Project
  • Free Association Norms
  • Perceptual Strength Norms
  • MRC Psycholinguistic Database
  • Metaphor Master List

Classic Reference Books

  • Introduction to Information Retrieval
  • Artificial Intelligence: A Modern Approach
  • Mining of Massive Data Sets
  • Modern Coding Theory
  • Network Information Theory
  • Reinforcement Learning: An Introduction
  • The Elements of Statistical Learning
  • Probabilistic Graphical Models
  • Managing Gigabytes
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