We are so excited for Girls Who Code!

Here's a special resource recommendation from Amelia at Lyndhurst Stem:

• Software Programming and Coding Glossary for Kids

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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