Belgium
Python for spatial data analysis
Date: 13 June 2025 @ 09:00 - 17:00
Language of instruction: English
This course aims to prepare people who have no experience with Jupyter notebooks, conda environments, Pandas DataFrames, Numpy arrays, or plotting images for courses that make use of these Python packages, like the spatial data analysis course. Pandas DataFrames are typically used to store data tables for analysis (similar to R data frames), whereas Numpy arrays are often used to store image data. Matplotlib is a popular Python package for creating visualizations like images but also plots of your data. All these components are heavily used in the spatial data analysis pipelines (but also in other omics pipelines). The course will give you enough background knowledge to understand the Python scripts that are used in the spatial data analysis course and to adjust them according to your needs.
Keywords: programming
Venue: Ghent - VIB/UGent FSVM II, Technologiepark 75
City: Zwijnaarde
Country: Belgium
Postcode: 9052
Learning objectives:
- “Create retrieve and analyze Pandas DataFrames”
- “Create retrieve of NumPy arrays and their use to the store images”
- “Plotting images (and very briefly: data) with matplotlib”
- “Set up a conda environment and using conda to install packages (as it is used in the spatial data analysis trainings)”
- “Use Jupyter notebooks (as they are used in the spatial data analysis trainings)”
Organizer: VIB
Event types:
- Workshops and courses
Instructors: Janick Mathys
Activity log
