Resources

📄 Bash Shell

📚 Quick References and Cheat Sheets

• Bash Scripting Cheatsheet ✨

• Learn X in Y Minutes, Where X=bash

• How to Create and Use Bash Scripts ✨

• Bash Scripting: Everything You Need to Know About Bash-shell Programming

• Bash Scripting Tutorial

• Bash Scripting Tutorial for Beginners

• Bash Scripting Tutorial

📄 Tcsh and Csh Shells

📚 Quick References and Cheat Sheets

• Learn X in Y Minutes, Where X=tcsh

📄 SSH

📚 Resources and Texts

• Introduction to SSH ✨

• SSH Cheat Sheet: Common Commands and Secure Config

• SSH Cheat Sheet: Advanced Commands

📄 Regular Expressions

📚 Quick References and Cheat Sheets

• Added Bytes: Regular Expressions Cheat Sheet

• Cheatography: Regular Expressions Cheat Sheet

• Regular Expressions Cheat Sheet

📄 Git and GitHub

📚 Quick References and Cheat Sheets

• GitHub Git Cheat Sheet ✨

• Visual Git Cheatsheet ✨

• About GitHub and Git ✨

• Git Cheat Sheet

• Cheatography: Git Cheat Sheet

📄 Python

📚 Quick References and Cheat Sheets

• DataCamp: Python Basics - Python Cheat Sheet for Beginners ✨

• Grok Learning: Python 3 Cheat Sheet: The Basics

• Data Science Free: Python Cheat Sheet: Just the Basics

• Added Bytes: Python

• DataCamp: Python for Data Science Cheat Sheet: Python Basics

• Dataquest: Data Science Cheat Sheet: Python Regular Expressions

• Dataquest: Data Science Cheat Sheet: Python Basics

• Datacamp: Python for Data Science Cheat Sheet: Pandas Basics

• Quandl: Python NumPy / SciPy / Pandas Cheat Sheet

• Data Science Free: Numpy Cheat Sheet: Python Package

• DataCamp: Python for Data Science - Importing Data Cheat Sheet ✨

• DataCamp: Python for Data Science - Pandas Basics Cheat Sheet ✨

• DataCamp: Python for Data Science - Data Wrangling in Pandas Cheat Sheet ✨

• Data Science Free: Data Analysis with PANDAS Cheat Sheet

• DataCamp: Python for Data Science - NumPy Cheat Sheet ✨

• Cheatography: Python RegEx (Regular Expression)

• Cheatography: Essential Python Cheat Sheet

• Cheatography: Python Cheat Sheet

• DataCamp: Python for Data Science - Matplotlib Cheat Sheet ✨

• Matplotlib: Cheat Sheet ✨

• Matplotlib: Handout for Beginners

• Matplotlib: Handout for Intermediate Users

• Matplotlib: Tips and Tricks

• DataCamp: Python for Data Science - Jupyter Cheat Sheet ✨

📚 Resources and Texts

• Python Data Science Handbook ✨

• Python for the Life Sciences ✨ 🇼

• Whirlwind Tour of Python

• Functional Programming in Python

• Python in Education

• Python Tutorial

• Python Language Reference

• Python Documentation

• Python Style Guide

• NumPy User Guide

• Pandas User Guide

• SciPy User Guide

• JupyterLab User Guide

• MatPlotLib User Guide

• MatPlotLib Examples  ✨

📄 Jupyter

📚 Quick References and Cheat Sheets

• Cheatography: Jupyter Notebook Editor Keyboard Shortcuts

📄 R and RStudio

📚 Quick References and Cheat Sheets

• RStudio IDE Cheat Sheet ✨

• Base R Cheat Sheet ✨

• Advanced R Cheat Sheet

• Data Science Free: R Programming Cheat Sheet: Just the Basics

• Data Science Free: R Programming Cheat Sheet: Advanced

• Data Science Free: Advanced R Cheat Sheet

• Data Import Cheat Sheet

• Data Transformation with dplyr Cheat Sheet ✨

• Data Visualization with ggplot2 Cheat Sheet ✨

• Basic Regular Expressions in R Cheat Sheet

• R Syntax Comparison Cheat Sheet

• Time Series Cheat Sheet

• Shiny Cheat Sheet

📚 Resources and Texts

• R for Data Science ✨

📄 Mathematica

📚 Quick References and Cheat Sheets

• Just Enough Mathematica to Make You Dangerous

• Mathematica Commands Summary: Cheat Sheet

📚 Resources and Texts

• Mathematica 101: Techniques and Tips for your Average Math 118 Student

📄 MATLAB

📚 Quick References and Cheat Sheets

• MATLAB Cheat Sheet

• MATLAB Cheat Sheet

📚 Resources and Texts

• Introduction to MATLAB for Engineering Students

📄 Stata

• 📚 Quick References and Cheat Sheets

• Stata Cheat Sheets (multiple)

• Data Processing with Stata 15 Cheat Sheet

• Data Transformation with Stata 15 Cheat Sheet

• Data Visualization with Stata 15 Cheat Sheet

• Plotting in Stata 15: Customizing Appearance

• Data Analysis with Stata 15 Cheat Sheet

• Programming with Stata 15 Cheat Sheet

📄 SPSS

📚 Quick References and Cheat Sheets

• SPSS Cheat Sheet 🗃️

• SPSS Cheat Sheet ❌

📄 Julia

📚 Quick References and Cheat Sheets

• The Fast Track to Julia: A Quick and Dirty Overview of Julia

• Julia Cheat Sheet

📄 IDL

📚 Quick References and Cheat Sheets

• IDL Reference Card

📚 Resources and Texts

• Using IDL to Manipulate and Visualize Scientific Data

📄 LaTeX

• LaTeX 2e Cheat Sheet ✨

📄 Slurm

📚 Quick References and Cheat Sheets

• Slurm Workload Manager ✨

• Slurm Workload Manager: Quick Start User Guide ✨

📄 Data Science

📚 Resources and Texts

• Introduction to Data Science

📄 Statistics

📚 Resources and Texts

• Crash Course on Basic Statistics

• Think Stats: Probability and Statistics for Programmers

• Think Stats: Exploratory Data Analysis in Python

• Think Bayes: Bayesian Statistics Made Simple

• A Student's Guide to Data and Error Analysis ✨ 🇼

• The Elements of Statistical Leaning: Data Mining, Inference, and Prediction

• An Introduction to Statistical Leaning, with Applications in R

• OpenStax: Introductory Statistics

📄 Geography

📚 Quick References and Cheat Sheets

• GIS Wikipedia 🗃️

• GIS Dictionary

• Digital Data Services: ArcGIS Quick Reference Card

• Esri ArcGIS Pro Tips and Tricks

• Esri ArcGIS Pro Quick-Start Tutorials

📚 Resources and Texts

• QGIS Documentation

📄 Bioinformatics

📚 Resources and Texts

• Bioinformatic Data Skills (sampler)

📄 Finance

📚 Resources and Texts

• Python for Finance (sampler)

📄 Physics

📚 Resources and Texts

• High Energy Physics Software Foundation Training Center

• Open Stax: College Physics (algebra-based, trigonometry-based)

• Open Stax: University Physics, Volume 1 (Mechanics, Waves & Acoustics, calculus-based)

• Open Stax: University Physics, Volume 2 (Thermodynamics, Electricity & Magnetism, calculus-based)

• Open Stax: University Physics, Volume 3 (Optics, Modern Physics, calculus-based)

• Effective Computation in Physics: Field Guide to Research with Python (sampler)