Explore projects
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Seven modules that introduce first year students at Applied Physics Delft to Python & data-analysis
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SteeleLab / Data Explorer
MIT LicenseA library of functions to facilitate interactive data exploration
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LR-FPP-MDO / KADMOS
Apache License 2.0Updated -
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Open textbooks / Quantum Sensing and Measurement
Creative Commons Attribution Share Alike 4.0 InternationalUpdated -
Blade-element-momentum code for low-fidelity aerodynamic analysis for propulsive and regenerative propellers
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Anne Poot / bfem
Creative Commons Attribution 4.0 InternationalBayesian Finite Element Method
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TeachBooks / Risk and Reliability
Creative Commons Attribution 4.0 InternationalTU Delft Open: https://doi.org/10.59490/tb.89 Book: https://teachbooks.tudelft.nl/risk-reliability
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This project contains supplementary material to the MUDE course. This is used to avoid adding large files to the main PyJive repository and for material not meant for students.
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