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Workshop: Python Basics

In this four-session introductory workshop, you will learn how to analyze, process, and visualize data with ease. Gain practical skills to automate repetitive tasks and create clear, impactful results directly applicable to your own projects.

When

Dec 12, 2025 from 09:00 to 12:30 (Europe/Berlin / UTC100)

All dates

Dec 12, 2025 from 09:00 to 12:30
There are 3 more occurrences.

Where

Room B202, iFZ Research Centre for Biosystems, Land Use and Nutrition (2nd)

Contact Name

Contact Phone

0641-99-18300

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Overview

  • Wednesday 26 November, 9 am - 12.30 pm
  • Friday, 28 November, 9 am - 12.30 pm
  • Wednesday, 10 December, 9 am - 12.30 pm
  • Friday 12 December, 9 am - 12.30 pm
  • Room B202, iFZ Research Centre for Biosystems, Land Use and Nutrition (2nd floor)
  • Doctoral students without prior knowledge in Python (Basic Course)
  • Prof. Dr. Matthias Wendlandt, Informatics Institute
  • English

Course description

Contents:

This basic course offers a structured introduction to Python, focusing on the first essential steps for researchers who want to integrate programming in Python into their daily work. Over four morning sessions, participants will develop practical skills to handle data, automate workflows, and generate meaningful visualizations. No prior programming experience is required.

Aims:

  • Getting started with Python: basic syntax, variables, and data types
  • Writing simple programs and understanding core concepts (loops, functions)
  • Reading and processing text files (.txt)
  • Working with multiple files efficiently
  • Organizing and cleaning data for analysis
  • Creating basic visualizations with plots and graphs
  • Introduction to automating repetitive tasks with simple scripts
  • Applying Python tools to participants’ own research questions

Optional extensions:

  • Animated plots for advanced visualization

The course empasizes practical use cases, enabling participants to directly apply Python tools to their research. By the end of the workshop, attendees will be equipped with the foundational skills needed to analyze, visualize, and manage data more efficiently.

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