SwissPy

Courses

During the past years we have run a range of courses focussing on different topics. This is a selection of typical courses. Our courses are usually structured into several half-days each dedicated to a specific topic and consisting of a presentation followed by hands-on tutorials.

Introduction to Python

Write simple programs and know the basics to delve into the world of Python!

Basics Operations Variable types

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Web frameworks in Python

Get used to Python-based web frameworks and create simple, but impactful web applications!

Web applications Interactive visualisations API

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Scientific Computing with Python

Levarage Python more efficiently for your research and spend more time focussing on your subject than on debugging code!

Data analysis Visualisation Testing, debugging & profiling Speed-up techniques

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Not what you are looking for?

No problem! We are happy to consult you and tailor a dedicated programme for you and your colleagues! >> Contact us!

Languages

We usually teach international audiences, so most of our courses are run in English. However we are happy to offer courses in German as well.

Duration	3 days
Level	Beginnerer
Description	This course teaches you the very basics in Python: How to work with numerical and non-numerical variables, how to perform operations. So that you get ready to dive into the fascinating and versatile world of programming with Python.
Learning goals	You are able write and run simple Python code. You know the fundamental variable types in Python. You can do simple mathematical operations in Python.
Modules	Python Standard Library

Duration	3 days
Level	Intermediate/Advanceder
Description	This course introduces you to how Python can support you in developping web apps: setting up simple applications and APIs with Python's webframeworks and leveraging different tools to create impressive visualisations.
Learning goals	You are able to program and deploy a simple Python-based web app. You can interface your web app with databases. You know how to leverage interactive data visualisation frameworks in Python.
Modules	Flask Tornado Django bokeh Dash sqlalchemy

Duration	5 days
Level	Intermediateer
Description	This course aims to give participants the necessary tools and techniques to develop high-quality algorithmy in Python in a scientific setup.
Learning goals	You are able to use data structures efficently for your research. You know techniques to debug and profile your code. You can apply approaches to enhance the performance of your code.
Modules	numpy scipy matplotlib numexpr numba cython