I frequently use Python, PsychoPy, MATLAB, and R for generating and presenting stimuli, data analysis, and simulations. I use Jupyter Notebook (f.k.a., IPython Notebook) along with Markdown to create interactive tutorials, and L^{a}T_{e}X and BIBT_{e}X to write manuscripts. I share my code and do version control through Git, github.com/yldsmzr.
Below is a list of resources that I find useful on these languages/platforms.
RESOURCES
Python
- IPython on GitHub
- Learn Python at Codeacademy
- Jupyter Notebook (f.k.a., IPython Notebook)
- PsychoPy Tutorial
R
- Cheetsheets from RStudio
- R For Data Science from O'REILLY
- knitr
- Learn Git at Codeacademy
- L^{a}T_{e}X Symbols At Wiki
- BIBT_{e}X and apacite
- Overleaf: A tool for online L^{a}T_{e}X collaborative writing
- Mendeley: A tool for reference management with a handy Web Importer extension
- Komodo Edit from Active State: An open source editor for dynamic programming
- Statistical Thinking: A Bayesian Course with Examples in R and Stan: A book on Bayesian Statistics