reticulate VS rmarkdown

Hi! At this moment I'm not opening the source code, but I can explain you the tech used. This site is based on another site I created before named https://r-charts.com/ and it was created with blogdown (HUGO + R Markdown). Hence, each tutorials is an R markdown file. For PYTHON CHARTS, in order to run Python within an R markdown file I had to use an R package named reticulate. In addition, the template depends on shuffle.js for filtering and fuse.js for searching

It's super easy and environments work really well too. What I typically do is start a markdown document and run whatever chunks in R or Python I'd like and then use the reticulate package to communicate between them. Using an R object in Python is as easy as calling "r.objectname" or you can simply run "source_python" and preface python functions with py$ and run them directly on R objects. The reticulate package does a good job of converting objects into the appropriate types. I was up and running in an afternoon and most of the Python code I simply just saved as .py scripts and ran directly in R-Studio with no problems. I often get output from Python functions in some format and convert it into a data frame, do what I need to do with tidy if required, and then ggplot for the visuals. Here is the tutorial that got mestarted

Fastest way to get from messy data to model IMO. Plus I can code in python in R with reticulate. https://rstudio.github.io/reticulate/

How does RStudio have little interest in interoperability with other languages? They produce the reticulate package[1] to allow calling Python code for R, they have added support for Python to RMarkdown and RStudio[2], they let you host Python apps on their RStudio Connect product[3], they sponsor Ursa Labs to work on the Arrow project for easy data interchange[4].

1) https://rstudio.github.io/reticulate/

Reticulate

Seems like a python problem. Do you have any version of Python already installed on your computer? Context: ( https://github.com/rstudio/reticulate/issues/313 )

I'm surprised to see no one has pointed out [RMarkdown + RStudio](https://rmarkdown.rstudio.com) as one way to immediately interface with Pandoc.

I used to write papers and slides in LaTeX (using vim, because who needs render previews), then eventually switched to Pandoc (also vim). I eventually discovered RMarkdown+RStudio. I was looking for a nice way to format a simple table and discovered that rmarkdown had nice extensions of basic markdown (this was many years ago so maybe that is incorporated into vanilla markdown/pandoc).

The RMarkdown page claims:

> R Markdown supports dozens of static and dynamic output formats including HTML, PDF, MS Word, Beamer, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, scientific articles, websites, and more.

...which I think is largely due to using pandoc as the core generator.

RStudio shows you the pandoc command it runs to generate your document, which I've used to figure out the pandoc command I want to run when I've switched to using pandoc directly.

This is a bit of a "lazy" way to interact with pandoc. Maybe the "laziest" aspect: when I get a new computer, I can install the entire stack by installing Rstudio, then opening a new rmarkdown document. Rstudio asks whether I'd like to install all the necessary libraries -- click "yes" and that's it. Maybe that sounds silly but it used to be a lot of work to manage your LaTeX install. These days I greatly favor things that save me time, which seems to get more precious every year.

Then, I worked on a Shiny project where I had to learn R Markdown. I was very excited about it because being paid to learn a new technology is something I have always preferred. I also worked with Highcharts graphs, which I didn’t do for years. It was also the first time I was being paid to design something. I didn’t enjoy that part as much as development, but I cannot say it was a bother either.

files/figure-latex/unnamed-chunk-2-1.pdf) Try to find the following text in midterm-question.Rmd: . See https://github.com/rstudio/rmarkdown/issues/385 for more info.

We used R Markdown for cleaning and analysis, creating updateable web pages we could share with everyone involved. Similarweb’s categories were useful, but too niche for us. So we spent a lot of time recategorizing and redefining the groupings. We used the token count for each website — how many words or phrases — to measure it’s importance in the overall training data.

In [R Markdown](https://rmarkdown.rstudio.com/) or [Quarto](https://quarto.org/), I can include inline code in a math equation, e.g.,

you probably want an rmd file with html output

GitHub issue code folding

R Markdown / Quarto https://quarto.org/ https://rmarkdown.rstudio.com/ ; can dynamically generate a document and compile it to HTML, PDF, others

Hi! At this moment I'm not opening the source code, but I can explain you the tech used. This site is based on another site I created before named https://r-charts.com/ and it was created with blogdown (HUGO + R Markdown). Hence, each tutorials is an R markdown file. For PYTHON CHARTS, in order to run Python within an R markdown file I had to use an R package named reticulate. In addition, the template depends on shuffle.js for filtering and fuse.js for searching