2019-08-20 Introduction to Python for non-programmers (09:00-17:00)
Get introduced into algorithmic thinking and programming with Python.
Reiter
About this training
Python
Python is a good scripting language widely used to make pipelines of tasks typical for large computations and analysis on large datasets. It suits the purpose of starting programming in it, as well. https://de.wikipedia.org/wiki/Python_(Programmiersprache)
Learning outcomes - participants can/know
Python is a good scripting language widely used to make pipelines of tasks typical for large computations and analysis on large datasets. It suits the purpose of starting programming in it, as well. https://de.wikipedia.org/wiki/Python_(Programmiersprache)
Learning outcomes - participants can/know
- About scripting and Python
- Syntax and variables
- Program loops and conditionals
- Program functions and data structures
- UNIBE staff members, students and potential users interested in programming
- Participants must bring own laptops.
- No programming experience required. This is a crash course for beginners.
- The training alternates between short theoretical introductions and programming exercises.
- A certificate will be delivered to participants who have attended the whole training.
- The coaches are local or external experts
Practical information (time, location ...)
Time : 2019-08-20 09:00 - 17:00
Location : University Mittelstrasse Building, Room 124, Mittelstrasse 43, University of Bern
Training language: English
Participants : Max 25
Registration : Mandatory
Coaches : Dr. Kinga Sipos (coach), PD Dr. Sigve Haug (responsible)
Prerequisites : Laptop
Certificate : Certificate for full training attendance
Link to the course material: fl-6-148.zhdk.cloud.switch.ch
Location : University Mittelstrasse Building, Room 124, Mittelstrasse 43, University of Bern
Training language: English
Participants : Max 25
Registration : Mandatory
Coaches : Dr. Kinga Sipos (coach), PD Dr. Sigve Haug (responsible)
Prerequisites : Laptop
Certificate : Certificate for full training attendance
Link to the course material: fl-6-148.zhdk.cloud.switch.ch
About ScITS
The Science IT Support is there to boost your research by supporting you solving computing challenges.
Your code doesn't compile, you need more computing power, more storage, a data mangament plan and
so on - scits.math.unibe.ch.
Your code doesn't compile, you need more computing power, more storage, a data mangament plan and
so on - scits.math.unibe.ch.