https://github.com/ccamara/datascience_r_python
A quarto site comparting R and Python
https://github.com/ccamara/datascience_r_python
Last synced: about 1 year ago
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A quarto site comparting R and Python
- Host: GitHub
- URL: https://github.com/ccamara/datascience_r_python
- Owner: ccamara
- Created: 2022-09-13T21:41:56.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-10-26T21:03:42.000Z (over 3 years ago)
- Last Synced: 2025-02-13T08:52:45.594Z (over 1 year ago)
- Language: R
- Size: 12.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# R and Python comparison
This site is a proof of concept that aims to become a reference for people wanting to perform common tasks in data science using R or Python.
Site goals:
* Learn how specific tasks are done as compared to their programming knowledge
* Facilitate a transition from R to Python or from Python to R
* Become a reference material
## About the author(s)
So far this is a work by [Carlos Cámara](https://carloscamara.es/en), Senior Research Software Engineer at the University of Warwick's [Centre for Interidisciplinary Methodologies](https://warwick.ac.uk/fac/cross_fac/cim/), but it's open to collaboration.
## Project setup
This project uses quarto, R, Python, and virtual environments (see below) to handle python dependencies
### Virtual environments
Virtual environments are managed by conda, which means that you should have [Anaconda distribution](https://www.anaconda.com/) installed (Read [installing instructions on their website](https://www.anaconda.com/distribution/))
Activate virtual environment
```bash
conda activate datascience_r_python
```
Deactivate virtual environment:
```bash
conda deactivate
```
Update virtual environment from `environment.yml`:
```bash
conda env update -f environment.yml
```
Recreate virtual environment from `environment.yml`:
```bash
conda env create -f environment.yml
```