Hello Everyone 
,
Despite being a relative newcomer, I'm eager to interact and learn from the other data science aficionados in this community.
The previous three months, I've mostly used RStudio—my primary language—for data analytic tasks, focussing on R. But lately, I've been using more Python-based tools in my work, and I want to be able to easily combine R and Python in RStudio for a variety of data science tasks.
I have encountered many techniques, such calling Python code within R using the reticulate package, and I have also seen references to using Jupyter notebooks within RStudio. I'm still not clear, though, what standard procedures or best practices more seasoned users might adhere to when balancing both languages in a single project.
In particular, I'm interested in:
- What benefits have you seen and what difficulties have you encountered when incorporating Python into your RStudio workflow?
- Do I need to be mindful of any potential hazards while handling dependencies between the two languages?
- How do you choose the appropriate language to employ for a certain task? Do you prefer using a particular language for a given kind of analysis?
- I would be interested in knowing about any suggested resources, lessons, or packages that you have found useful during this integration process.
Any ideas or insights you have would be greatly appreciated. Looking forward to enhancing my workflow and picking up tips from your alteryx experiences!
Thank you in advance.