Our great sponsors
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
However, there doesn't seem to be much available support yet for Quarto editing. The only plugin I could find is limited to syntax highlighting. To my knowledge, Quarto also isn't a built-in filetype yet. I've worked around this by manually creating a filetype and using R Markdown syntax highlighting with the Nvim-R plugin, which lets me send R code in chunks to a REPL and see results while I edit. Nvim-R also supports evaluation of Python code chunks using an R package that evaluates Python code, but that's not an ideal solution for editing a Python-only file.
Quarto is a relatively new Markdown-based file format. One of its main uses is writing reports that interleave text with code and results; it supports rendering with knitr (an engine widely used in the R community) as well as Jupyter (more popular with Python users). Since I work in data science, I use both languages regularly. For writing R reports, I've switched from R Markdown (Quarto's R-focused predecessor) to Quarto. I'd also like to start writing Python reports in Quarto using Neovim.
However, there doesn't seem to be much available support yet for Quarto editing. The only plugin I could find is limited to syntax highlighting. To my knowledge, Quarto also isn't a built-in filetype yet. I've worked around this by manually creating a filetype and using R Markdown syntax highlighting with the Nvim-R plugin, which lets me send R code in chunks to a REPL and see results while I edit. Nvim-R also supports evaluation of Python code chunks using an R package that evaluates Python code, but that's not an ideal solution for editing a Python-only file.