A Software Engineer's Toolkit for Quantitative Research

Available On-Demand for 30 days

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Format:  Self Paced On-Demand Seminar

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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).

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Software Engineering
Research Tools
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