ASPP / testing_debugging_profilingLinks
Material for the class "Testing, debugging, profiling -- Python tools for building software"
☆14Updated last year
Alternatives and similar repositories for testing_debugging_profiling
Users that are interested in testing_debugging_profiling are comparing it to the libraries listed below
Sorting:
- Read and write simple Python objects using HDF5☆21Updated this week
- Thompson and Shampine's DDE_SOLVER, a Fortran library for delay differential equations.☆12Updated last year
- ☆14Updated 10 years ago
- Differentiable interface to FEniCS for PyMC3☆20Updated 2 years ago
- PhD thesis manuscript☆14Updated 6 years ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- Large scale simulation of ODEs or SDEs, analyze time series.☆25Updated 6 years ago
- Automatic selection and generation of integration schemes for systems of ordinary differential equations☆16Updated 3 weeks ago
- Essential skills for reproducible research computing☆43Updated 5 years ago
- CSCS HPC Summer School 2019☆25Updated 5 years ago
- a package to support with the statistical analysis of trajectory data☆11Updated 8 years ago
- A Sparse Matrix Library for Python☆15Updated 9 years ago
- A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing.☆25Updated last year
- Reproducible research - Preparing code to be usable by you and others in the future☆28Updated 2 months ago
- http://cranmer.github.io/stats-ds-book☆70Updated 4 years ago
- Software for large and sparse SVD calculations☆21Updated 5 months ago
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- A brief and practical introduction to the solution of hyperbolic conservation laws☆52Updated last year
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Scipy 2019 Tutorial☆35Updated 5 years ago
- Design of random experiments in Python☆26Updated 4 months ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- A Python framework for test-driven validation of scientific models.☆48Updated last year
- python based implementation of the nested sampling algorithm☆27Updated 10 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- ☆10Updated 4 years ago
- ☆10Updated 8 years ago
- Program files from MATLAB Guide, Third Edition☆29Updated 8 years ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆10Updated last year
- The new python parameter exploration toolbox. pypet manages exploration of the parameter space and data storage into HDF5 files for you.☆89Updated last year