Using Python on JASMIN webinar

Posted on December 14, 2019 (Last modified on November 8, 2023) • 1 min read • 200 words
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This webinar explored four case studies for using Python on JASMIN.

This webinar explored four case studies for using Python on JASMIN. In a 1 hour webinar, we cannot teach the entire Python language to beginners - but we hope our examples will give you an idea of the things Python can be used for to do science-related coding. Each case study is represented as a Python script that you could run interactively on JASMIN.

For each script, we provide:

  • A breakdown of the workflow into understandable components
  • Commentary on the basic Python concepts/constructs that underpin the script
  • Links to documentation to learn more
  • Links to the example scripts in a public (GitHub) repository

After viewing the webinar you should have:

1. A basic understanding of the following Python constructs:

  • String
  • List
  • Function
  • Numpy array
  • Pandas DataFrame
  • Xarray Dataset

2. Basic understanding of working with Python to:

  • Run a script
  • Send arguments to a function
  • Import modules/libraries

3. Awareness of the Python libraries for data analysis:

  • Numpy
  • Pandas
  • Xarray

4. Knowledge of where to go to learn more

See links here for presentation slides and video

Recorded on 13th December 2019 for the sixth webinar in a series provided by The Centre for Environmental Data Analysis (CEDA). If you have any queries, please email the CEDA helpdesk.

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