Open discussions on specific topics selected by the Software Working Group and selected from the list of SWG Topics For Discussion.
Wednesday, October 5, 2021 - R Programming, Moderated by Santiago Nuñez-Corrales
Description:
Recording: https://uofi.box.com/s/uuee4szic4cgz1ut0kgb8k21t8nz3dv0
Attendees:
Vara Veera Gowtham Naraharisetty
Discussion:
- See recording of technical discussion
Python vs. R - researchers vs. programmers
- USGS publishes their data in R, so it's standard to know R
- How maintainable is R?
- Is there core functionality in R that's not available in Python?
- Pandas dataframe was based off of R.
- R is not necessarily easy to understand out of the box
- Once you get past the "fear of learning" R, it is so much more productive
EarthCube has search for datasets, then the ability to open them in a notebooks. For R users, in colab, we incl: %load_ext rpy2.ipython ;Though our utility code is only in python right now.
- MatLab has everything bundled. JupyterHub also has everything in one place.
Links Shared During the Talk:
https://docs.google.com/forms/d/e/1FAIpQLSdF75x5oaPS_55XsrrvZl8bRafVcVd0OvlYBdV8C27A8sZNTQ/viewform
https://github.com/fortran-lang/stdlib
https://www.kdnuggets.com/2017/02/moving-r-python-libraries.html
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