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Introduction to Scientific Computing Course 2025

Posted on November 17, 2025  (Last modified on September 18, 2025) • 2 min read • 277 words
Training   Jasmin  
Training   Jasmin  
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Join us this November to study an introduction scientific computing with the National Centre for Atmospheric Science!

Dates  

Course Date Location
Introduction to the bash shell (Unix/Linux) Tuesday 4th November, 09:30 - 16:00 Online
Introduction to Python programming Monday 17th November, 10:00 - Wednesday 19th November, 12:00 Leeds
Python programming – working with data & Introduction to Git/GitHub Wednesday 19th November, 13:00 - Friday 21st November, 16:00 Leeds
Find out more information and apply here!     

The Introduction to Scientific Computing (ISC) course covers the skills needed to start using the Linux Shell and Python in environmental science research. The course is designed for complete beginners as well as those with a little experience who wish to further their knowledge. Some prerequisite Python knowledge is necessary to study the “Python Programming – Working with Data” module. On the final day of the “Working with Data” module there will be two parallel sessions focussing, respectively, on the use of atmospheric science data and earth observation data. Students may join either session depending on their own learning needs and preferences.

The course is taught as a series of hands-on workshops. Students may register for the whole course as a package, or individual modules to suit their own learning needs.

We aim to equip students with fundamental knowledge and build the skills that are essential for almost all researchers in modern scientific disciplines. Each topic will be introduced and students will then apply their learning by working through practical exercises, supported by the trainers. The course is highly interactive – students are encouraged to ask questions and request support as needed.

The course will also provide you with the necessary experience to attend our Data Analysis Tools course  and Atmospheric Measurement and Modelling Summer School. 

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