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Tag: anaconda

Using Spyder

Using Spyder

The following may be incorrect after June 9, 2023

Spyder is available through Anaconda Navigator on the FAS-RC Remote Desktop application on the Open OnDemand dashboard. To access it:

  • go to the VDI dashboard at https://vdi.rc.fas.harvard.edu/pun/sys/dashboard/ (or https://fasseood.rc.fas.harvard.edu/pun/sys/dashboard if you are working on FASSE)
  • start a new Remote Desktop session
  • connect to the Remote Desktop session
  • open a Terminal in the Remote Desktop session and load the relevant Anaconda module. Check https://portal.rc.fas.harvard.edu/p3/build-reports/ for the most up-to-date modules.
    • Examples:
    • if you’re working with Python 2, type the following:
      • module load Anaconda/5.0.1-fasrc02
    • if you’re working with Python 3, type the following:
      • module load Anaconda3/2020.11
  • type the following:
    • anaconda-navigator
  • when Anaconda Navigator loads, you may choose to remain in the “base” environment, or load your preferred environment from the “Applications on” dropdown, or create a new environment using the Environments tab to the left.
  • when you are in the environment you need, click the Launch button under the icon for Spyder.

Screenshots of the process:

Python Programming Language

Python Programming Language

What is Python?

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation.

Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a “batteries included” language due to its comprehensive standard library.

Package Managers

FASRC clusters use mamba.  Mamba is available on the FASRC cluster as a software module either as Mambaforge or as python/3* which is aliased to mamba. For more information on Mamba and it’s usage on FASRC clusters, see the Python Package Installation entry.

Best Practices

TBD.

Examples

Serial Python

examples: https://github.com/fasrc/User_Codes/tree/master/Languages/Python

Parallel Computing

Take a look at the python documentation for the multiprocessing library.   We have a few examples for parallel computing using it: https://github.com/fasrc/User_Codes/tree/master/Parallel_Computing/Python

References

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