BIG N2N Introductory course in Python

Mar/31 09:00
Faculty of Science, Campus Sterre, Krijgslaan 281, building S9, Ghent.
Thursday, March 31, 2016 - 09:00

Faculty of Science, Campus Sterre, Krijgslaan 281, building S9, Ghent.

On March 30 and 31 and April 1, the Institute for Continuing Education in Science (ICES-WE56) is organizing an introductory course in Python.
This course is aimed especially, but not exclusively, at non PhD researchers and ZAP members who cannot participate in the similar course organized by the Doctoral Schools.
All information on this course is available at the ICES website:

Computers have played an increasingly important role in science for 50 years, and in particular the past decade and a half, and will continue to do so. Scientists today need to be completely computationally literate, as it simply becomes almost impossible to do competitive science without such literacy.

This course provides an introduction to Python as a stepping stone towards solving advanced problems in scientific computing.
The goal is to show you how to use the many tools you already have on your computer to make it do more work for you. You will learn skills for shaving minutes or hours off many small tasks - and because these skills are scalable, you will also be able to use them to accomplish things that would take you many weeks or even years to do by hand.

The focus is on general solutions applicable to a range of problems. In addition to learning new skills, you will begin to recognize when to apply these tools to make your analysis easier. Once you are familiar with the basic tools, you will learn how to combine them to improve the efficiency, flexibility, and reproducibility of your overall workflow.

In some cases you will even be able to ferry your data through a series of analyses without touching a keyboard. As the driving engine of this automation process, you will learn to write small computer programs using the Python programming language.

Teacher: BIG N2N partner Prof. Dr. Peter Dawyndt

More information on Python: Wikipedia,

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