Code Development

Has articles about Research Computing Programming, Compilers, IDL, Debuggers

Articles (9)

Compilers on 64-bit and 32-bit Research Computing Systems

Compilers on Research Computing Linux Systems

Debuggers on Research Computing's Linux systems

Google Colab for Python code

Programming Supported by Research Computing

Python on Research Computing Linux systems

This article describes how to enable a centrally maintained installation of Anaconda/Python.

Shared conda environments in DartFS

Conda is a little tricky when it comes to shared storage, especially with permissions in a Kerberized environment. This article describes one way to make it work.

Sharing .ipynb (Jupyter/iPython/Colab) notebooks via Dartmouth Google Drive

Step by step sharing and receiving shared .ipynb (Jupyter/iPython/Colab) notebook via institutional GDrive

Using conda to manage your own Python environments