A Software Engineer's Toolkit for Quantitative Research
Available On-Demand for 30 days
Brief Description
Note: You will be asked to sign up/sign in to Instats before continuing
Format: Self Paced On-Demand Seminar
Language:
Software Package:
Disciplines:
INFORMATION
SPEAKER
REGISTER
CONTENT
Q&A FORUM
Learn at your own pace with downloadable materials and 30-day access to video content
Activate your 30-day enrollment anytime within 2 years after purchase
Engage with other participants through the Q&A Forum
Seminar Description
The daily tasks of a quantitative researcher overlap in many ways with the daily tasks of a programmer. Luckily, there are a great software tools which are designed for programmers which can be leveraged to produce quantitative research outputs. I'll give a brief overview/demo of some of these tools, with a focus on how you can use them to improve or speed up your research/publication workflow. This includes how to: connect to a remote computer (SSH/Mosh), solve maths/stats problems with code (Python, R, C++, Mathematica, Julia), run & prototype code (Jupyter, VS Code), speed up some code (JIT-compiling, parallelisation), collaborate with others (Git, Github), write a maths-heavy manuscript (LaTeX, Markdown), give an interactive presentation with formulas & code (reveal.js/slides.com, RISE) and publish it to the web (Jekyll, Github Pages). The talk should be useful to those who are totally new to these tools, and to seasoned veterans (who, hopefully, may have some extra tips to contribute).
