pypet: A Python Toolkit for Simulations and Numerical Experiments
summary
A Python toolkit that actually ties parameter sets to results and writes them into HDF5 storage via a trajectory container, so parameters, NumPy arrays and pandas DataFrames load reliably and I O is automatic. It includes multiprocessing and cluster support, Git integration and Sumatra links, an environment object for locks and commits, and a demo that runs and writes four runs. The codebase claims over 90% test coverage with 1,000+ tests.
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chapters (7)
- 0:00Introduction
- 3:57Manual parameter exploration problems
- 8:53Trajectory container
- 12:30Live demo: simple simulation
- 16:50Installation, documentation and open-source details
- 17:52Closing remarks
- 18:36Q&A
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