iminuit
Python-Complementary-Languages
| iminuit | Python-Complementary-Languages | |
|---|---|---|
| 2 | 8 | |
| 273 | 31 | |
| 1.1% | - | |
| 8.6 | 2.1 | |
| 5 days ago | 9 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
iminuit
-
Need help building python-iminuit
- name: python-iminuit buildsystem: simple build-commands: - python3 setup.py build - python3 setup.py install --prefix=${FLATPAK_DEST} --root=/ --optimize=1 sources: - type: git url: https://github.com/scikit-hep/iminuit tag: v2.4.0
-
Julia is the better language for extending Python
Have you tried numba+numpy? In my experience, it is much faster than Jax and can compile to cuda. It's not caveat free, but it also removes the hustle of labeling arrays as donated in Jax.
You may find this interesting https://github.com/scikit-hep/iminuit/blob/develop/tutorial/...
Python-Complementary-Languages
-
Julia is the better language for extending Python
Note that the OP is a Python user, not a Julia user. The Github profile is a bunch of Python packages and the Julia code wasn't even optimized (https://github.com/00sapo/cython_list_test/pull/5). If this test says anything, it at least would say that a inexperienced Python user could pick up Julia and do pretty well, even if the code they write isn't great.
Even if it doesn't say that, bashing people who use Julia for a repository made by a Python user is a new level of HN trolling.
- Julia is the best language to extend Python for scientific computing
What are some alternatives?
julia - The Julia Programming Language
py2many - Transpiler of Python to many other languages
flatpak-builder-tools - Various helper tools for flatpak-builder
shared_numpy - A simple library for creating shared memory numpy arrays
uproot5 - ROOT I/O in pure Python and NumPy.
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
pypolyline - Fast Google Polyline encoding and decoding using a Rust binary
hist - Histogramming for analysis powered by boost-histogram
simplification - Very fast Python line simplification using either the RDP or Visvalingam-Whyatt algorithm implemented in Rust