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Code Development
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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
DartFS shared conda installation - permissions
Conda is a little tricky when it comes to permissions in a Kerberized environment. This article describes one way to make it work.
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.
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
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