prysm
mypyc
Our great sponsors
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.
prysm
-
How to generate realistic PSFs for camera lenses?
My current concept is to just combine zernike polynomials with a random factor and calculate the PSF from that, which can be somewhat easily be done with the prysm library. These PSFs can then be convolved with circular and gaussian kernels for modelling additional defocus and accounting for other stuff like the AA filter. Then I'd add chromatic aberration by offseting/scaling the PSFs for each channel. Some generated kernels already look pretty good when comparing them to stars in astrophotography images, but others not so much.
- Prysm is a Python 3.6 library for numerical optics
-
Books/ other resources to learn about Fraunhofer diffraction farfield model using MATLAB/python?
https://github.com/brandondube/prysm (caveat emptor: mine)
- Demonstrations of laser optics/Fourier optics and diffraction simulations
-
Python raytracer optimizations and improvements
You can trace about 1 billion raysurfaces per second in pure python with CuPy, or a few million raysurfaces per second on CPU.
-
Exascale integrated modeling of low-order wavefront sensing and control for the Roman Coronagraph instrument
New paper from /u/BDube_Lensman using prysm to model NASA's Roman Coronagraph
-
Reccomended textbooks/reading for learning Thin Films
This free book is what this free code is based on
-
Options for free optical simulation?
Prysm Originally for diffraction type optics but seems to able to handle...everything? Performance as a priamary concern, GPU acceleration, proven JPL heritage :) Raytracing is however still experimental and without docs, generally whilst the library looks excellent if you're an optics person already I think I lack a bit of the base fundamental knowledge to really use it powerfully from just the API reference. I can see BDube has some raytracing example code in some of the issues I could probably adapt and muddle my way through at least. No guis is mildly annoying for a noob like myself, but I can work my way around matplotlib-ing just fine instead i'm sure.
-
Options for GPU accelerated python experiments?
You may want to steal my shim set since it lets you hot swap Numpy<-->cupy at runtime
-
Anaconda is so fucking broken!
I do computational diffraction with large manycore servers and GPUs at a FFRDC. The difference between MKL and not MKL is the difference between hitting enter and getting a result in an hour or two vs tomorrow.
mypyc
- Making use of type hints
-
Writing Python like it's Rust
That would be interesting! You might already be aware. But there's mypyc[0], which is an AOT compiler for Python code with type hints (that, IIRC, mypy uses to compile itself into a native extension).
Wanted to give you a head-start on the lit-review for your students I guess :)
[0] https://github.com/mypyc/mypyc
-
The different uses of Python type hints
https://github.com/mypyc/mypyc
> Mypyc compiles Python modules to C extensions. It uses standard Python type hints to generate fast code. Mypyc uses mypy to perform type checking and type inference.
> Mypyc can compile anything from one module to an entire codebase. The mypy project has been using mypyc to compile mypy since 2019, giving it a 4x performance boost over regular Python.
I have not experience a 4x boost, rather between 1.5x and 2x. I guess it depends on the code.
-
The Python Paradox
Funny how emergence works with tools. Give a language too few tools but viral circumstances - the ecosystem diverges (Lisps, Javascript). Give it too long an iteration time but killer guarantees, you end up with committees. Python not falling into either of these traps should be understood as nothing short of magic in emergence.
I only recently discovered that python's reference typechecker, mypy, has a small side project for typed python to emit C [1], written entirely in python. Nowadays with python's rich specializer ecosystem (LLVM, CUDA, and just generally vectorized math), the value of writing a small program in anything else diminishes quickly.
Imagine reading the C++wg release notes in the same mood that you would the python release notes.
[1] https://github.com/mypyc/mypyc
-
Codon: A high-performance Python compiler
> Note that the mypyc issue tracker lives in this repository! Please don't file mypyc issues in the mypy issue tracker.
See https://github.com/mypyc/mypyc/blob/master/show_me_the_code....
-
ELI5: Can’t one write a compiler for Python and make everything go brrrr?
And mypyc https://github.com/mypyc/mypyc
-
Is it time for Python to have a statically-typed, compiled, fast superset?
More recent approaches include mypyc which is (on the tin) quite close to what you describe, and taichi that lives in between.
-
Pholyglot version 0.0.0 (PHP to PHP+C polyglot transpiler)
Have you encountered mypyc?
-
Python 3.11 is 25% faster than 3.10 on average
https://github.com/mypyc/mypyc
> Mypyc compiles Python modules to C extensions. It uses standard Python type hints to generate fast code. Mypyc uses mypy to perform type checking and type inference.
-
Comparing implementations of the Monkey language VIII: The Spectacular Interpreted Special (Ruby, Python and Lua)
Regarding the large execution time mentioned in your article, I discovered (mypyc)[https://github.com/mypyc/mypyc] on this subreddit in a post from the black formatter team https://www.reddit.com/r/Python/comments/v2009i/im_that_person_who_got_black_compiled_with_mypyc/?utm_medium=android_app&utm_source=share
What are some alternatives?
OpticSim.jl - Optical Simulation software
Cython - The most widely used Python to C compiler
nogil - Multithreaded Python without the GIL
mypy - Optional static typing for Python
poppy - Physical Optics Propagation in Python
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
go-tfhe - 🐿️ Pure go implementation of TFHE Fully Homomorphic Encryption Scheme
CPython - The Python programming language
pymae - Materials for the book "Python for Mechanical and Aerospace Engineering"
pex - A tool for generating .pex (Python EXecutable) files, lock files and venvs.
warp - A Python framework for high performance GPU simulation and graphics
pyccel - Python extension language using accelerators