MSc Ecology and Data Science - Lab Coding Environment

This repository defines the coding environment for the MSc practicals. We use Binder to create and manage easy-to-setup and reproducible environments in which students can learn through coding.

Binder allows you to create custom computing environments that can be shared and used by many remote users.

Running the Environment

To run the environment, click the "launch binder" button.

Languages

Both Python and R are available in the environment. The R and Python versions are specified in the runtime.txt file

python-3.10
r-2022-10-31

Libraries and Dependencies

• Add libraries in the apt.txt file.
• Add R dependencies in install.R.
• Add Python dependencies in requirements.txt using version pinning for environment stability.

For detailed information on how to setup the environment using Binder please refer to the official documentation.

Example dependency files

Libraries are installed in the apt.txt file:

libgdal-dev
libproj-dev
...

R dependencies are installed in the R script install.R:

install.packages("ggplot2")
install.packages("dplyr")
...

Python packages are added to the environment by listing them in the requirements.txt file. Specific package versions can be specified through string specifiers.

scikit-learn
pandas==1.5.3
matplotlib>=3.5.0
https://github.com/MScEcologyAndDataScienceUCL/BIOS0032_AI4Environment