Module 0

Materials and Prerequisites

Requirements

Participants should have:

• Knowledge:
  • Basic Python programming
  • GIS fundamentals (raster and vector data handling, georeferencing concepts)
  • Basic knowledge of crop models (e.g. MONICA), csv files, json file structure,
  • Basic statistics, derivative, linear regression and machine learning concepts and implementation
• Software:
  • Python (≥3.10)
  • Python Packages: numpy, scipy, matplotlib, rasterio, pandas, sklearn
  • QGIS
  • Microsoft Excel (or equivalent spreadsheet software)

A tested packages.yml file compatible with the Anaconda Distribution is provided to ensure consistent package versions, if needed. If any requirement is missing, participants are encouraged to:

• Complete short online crash courses, or
• Use an online search engine or an AI assistant (ChatGPT, Claude, Gemini, etc.) for targeted explanations.