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A curated collection of tools, datasets, libraries and resources I regularly use or find useful for scientific computing, visualization and environmental analysis.
I try to keep this section up to date whenever I come across something interesting.
Last updated: March 2026
Resources that help build intuition about mathematics, physics and scientific concepts through visualization, interactive simulations and educational material.
Tools, references and inspiration related to scientific visualization, interface design and generative graphics.
xml format.Some tools and resources useful when designing user interfaces and dashboards.
I often use them when building interactive applications with Dash.
dash-iconify.Interactive maps and geospatial visualizations related to climate, environmental data and global infrastructure.
A collection of interactive maps showing various types of environmental and climate data.
Some useful sources for scientific and environmental data.
EPW files are nowadays something of a standard format for meteorological data.
The most common use is the TMY (Typical Meteorological Year), which represents typical climate conditions based on the last 25–30 years.
Python libraries commonly used in my workflows for scientific computing, environmental analysis, geospatial processing and visualization.
Python libraries commonly used in my workflows for scientific computing, environmental analysis, geospatial processing and visualization.
Some foundational libraries used in most scientific Python workflows:
Frameworks and libraries for building interactive data applications and scientific dashboards in Python.
That’s the one I use the most!
epw) files — very convenient for reading and parsing EPW datasets.. __ __ _
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LS_COLORS themes, useful for customizing file and directory colors across shells and terminal emulators.