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University of Toronto
- https://orcid.org/0000-0003-3954-3291
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scientific Python package recommendations & guidance curated by pyOpenSci
Efficiently get the index-0 element of an iterable.
Simple N-body code for Python (backend is in C for speed) with BH tree and direct summation options.
A Python package for performing self-consistent population synthesis and galactic dynamics simulations
A general-purpose algorithm for finding astrophysically-relevant clusters from point-cloud data.
Package for identifying regular, complex, and stochastic behavior in timeseries
tools from `dataclasses`, extended to all of Python
Basis Function Expansion C++ library and Python package for running N-body galactic simulations and dynamical discovery
Pytest plugin to annotate failed tests with a workflow command for GitHub Actions
Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API.
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
pytest plugin for easy integration of memray memory profiler
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
AutoBound automatically computes upper and lower bounds on functions.
Validation library for simple check on `pyproject.toml`
Open standard for machine learning interoperability
Differentiable and accelerated spherical transforms with JAX
Prepare an automatic changelog from GitHub pull requests
JAX - A curated list of resources https://github.com/google/jax
Create powerful Hydra applications without the yaml files and boilerplate code.
A pytest plugin to automatically run `beartype` on your test cases.