Python Course for Geoscientists

9 Oct 2023, 09:00 → 12 Oct 2023, 17:00 Europe/Berlin

Angelika Heil, Jannek Squar (Uni HH), Karin Meier-Fleischer (DKRZ), Marco Kulüke (DKRZ), Ralf Mueller (DKRZ)

Target group: beginner
 

In today's world, there is usually no way around the Python programming language in the geosciences. However, learning Python on your own is associated with many difficulties and leads only to unsatisfactory results, which is why this course was developed especially for beginners.

Python is an easy to learn but powerful programming language. The very extensive standard library offers almost everything you need. And if you need something more specific, you can usually download it for free from third-party distributions.

This workshop will take place via videoconference.

We only offer a limited number of course seats to ensure there is enough time to help with problems.

In advance, due to high demand, we will not be able to provide everyone registered to attend this course, but the next course will take place in spring next year ;).

This course is for beginners!

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We are sorry, but the registration is now closed. 
The course is fully booked!

The next course will take place in spring 2024.

 

DKRZ_Python_Course_Registration_GDPR_October_2023.pdf

DKRZ_Python_Workshop_material.zip

Monday, 9 October

09:00 → 12:30 Day 1: Morning sessions

09:00 Welcome

A short welcome to the participants and speakers.

09:10 Difference between a supercomputer and a mobile phone

• what is a node, cpu
• historical development
• architecture

09:30 What is Python – short intro

• difference between programming language and Python
• assembler, compiler, interpreter

10:00 Jupyter Notebooks

• connecting to Levante with Jupyterhub
• Jupyterlab
• Installation

11:00 Break

11:15 Introduction to Linux

• terminal
• via WSL
• command line and shell
• editor

12:30 → 13:30 Lunch Break

13:30 → 15:30 Day 1: Afternoon sessions

13:30 Syntax

• case-sensitive
• print
• indentation and code blocks
• line continuation
• comments

14:00 Data types

• boolean
• integer
• floating-point
• complex
• conversion between types
• None

14:15 Strings

• formatting
• string functions

14:30 Lists, tuples, and sets

14:45 Dictionaries

• creation
• access

15:15 Questions/Answers // End

Tuesday, 10 October

09:00 → 12:45 Day 2: Morning sessions

09:00 Warmup about content of Day 1

09:15 Copy objects

• shallow
• deep

09:30 Basic operators and math functions

09:45 Conditions

10:15 Loops

• for
• while

10:45 Break

11:00 List comprehensions

• nested

11:30 Functions

11:45 File I/O

• open
• close
• read
• write
• csv reader

12:45 → 13:45 Lunch break

13:45 → 15:45 Day 2: Afternoon sessions

13:45 Exceptions, error handling

• try and except
• logging
• debugging

14:30 Python in Action (GLOBAGRIM)

15:30 Questions/Answers // End

Wednesday, 11 October

09:00 → 12:30 Day 3: Morning sessions

09:00 Warmup about content of Day 2

09:15 Numpy

10:45 Break

11:00 Xarray I

• DataArray
• Dataset
• open_dataset / open_mfdataset

12:30 → 13:30 Lunch break

13:30 → 15:45 Day 3: Afternoon sessions

13:30 Visualization I

• Matplotlib

15:30 Questions/Answers // End

Thursday, 12 October

09:00 → 12:45 Day 4: Morning sessions

09:00 Warmup about content of Day 3

09:15 Visualization II

• Cartopy

10:15 Xarray II

11:15 Break

11:45 Xarray III

12:45 → 15:00 Day 4: Afternoon sessions

12:45 Feedback

13:00 Questions and answers

15:00 → 15:15 The End