Using Python on JASMIN webinar

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.