Code Review #1: Writing ✒️
In the past I have written a lot about how to set up your programming environment and how to communicate your research.
In the past I have written a lot about how to set up your programming environment and how to communicate your research.
As ds-econ has grown a lot since I wrote some of these articles, I would like to take this chance to point our new-members to these resources. Below, you can find articles on how to set up VS Code for data science, write academic papers with R Markdown, and how to work with Quarto to author all kinds of documents.
You guessed it: The theme of this Code Review is writing.
Heads up! Quarto is here to stay.
Quarto is a generalisation of R Markdown by the same core developers. This framework allows you to weave together R, Python, Julia, and OJS with the code's output and your writing.
3 frameworks into one — Write your next paper with R Studio!
Here, I will show you my current workflow to writing research papers in my studies. This is an approach to come up with a coherent and simple setup, which weaves together the literature and data related aspects of a project.
Change to VS Code! An overview with a minimal setup for data science.
A glimpse at VS Code, and a minimal setup for data science. Snippets, keyboard shortcuts, and extensions for data science.
