polymorphic-functions
py4cl2
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polymorphic-functions | py4cl2 | |
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6 | 11 | |
50 | 39 | |
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5.6 | 5.6 | |
27 days ago | 5 days ago | |
Common Lisp | Common Lisp | |
- | GNU General Public License v3.0 or later |
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polymorphic-functions
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Adding new types and operators to Lisp
If performance is a concern, then you would want to stick to CLHS provided simple-array and create appropriate types using deftype, and then dispatch on the types either by yourself, or by using something like polymorphic-functions and polymorph.maths.
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defgeneric and &rest
If you want to dispatch on vectors, you can try out polymorphic-functions which was made for the express purpose of dispatching on specialized arrays aka types rather than classes.
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numericals - Performance of NumPy with the goodness of Common Lisp
Since the past year or two, I have been working on numericals that aims to provide the speed of NumPy with the goodness of Common Lisp. In particular, this includes the use of dynamic variables, restarts, and compiler-notes wherever appropriate. It uses CLTL2 API (and may be slightly more) under the hood to provide AOT dispatch, but nothing stops you from combining it with JAOT dispatch provided by numcl/specialized-function. This also spawned a number of projects most notably polymorphic-functions to dispatch on types instead of classes and extensible-compound-types that allows one to define user defined compound types (beyond just the type-aliases enabled by deftype. Fortunately enough, interoperation between magicl, numcl and numericals/dense-numericals actually looks plausible!
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Common Lisp polymorphic stories.
Before reading this, please go and check out https://github.com/digikar99/polymorphic-functions which this project is fully based on. It's great.
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polymorphic-functions - Possibly AOT dispatch on argument types with support for optional and keyword argument dispatch
What I am calling parametric polymorphism is this test:
py4cl2
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An Idea for Piggybacking Python (language) ecosystem
I... recently got that working: https://github.com/digikar99/py4cl2/tree/master/cffi - Yes, CFFI! Yes, passing CL array data by reference!
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Plotting
I ended up using a fair bit of matplotlib through college and with colleagues. I too don't want to use python, but I also don't like throwing away its libraries, and I'm too lazy to invest in other* plotting ecosystems. In effect, I use up using matplotlib through py4cl/2.
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numericals - Performance of NumPy with the goodness of Common Lisp
Note that it is not my aim to replace the python ecosystem; I think that is far too lofy a goal to be of any good. My original intention was to interoperate with python through py4cl/2 or the likes, but felt that one needs a Common Lisp library for "small" operations, while "large" operations can be offloaded to python libraries through py4cl/2.
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interested in learning lisp, (specifically for games, but also for everything else including tui and gui applications for linux. currently have next to no programming knowledge, can i get forwarded some resources and some tips on what exactly i should do? any videos i should watch?
Python: Blender and Panda3D (game engine used for Disney's Toontown way back when) are both scriptable with Python. I've been able to successfully call Panda from Py4CL2 (thanks digikar for the help with that), but I have not tried with Blender yet. I think it's doable.
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Rewrite Your Scripts In LISP - with Roswell
While you are at it I may as well mention https://github.com/digikar99/py4cl2
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Good Lisp libraries for math
If performance is absolutely not a concern, then third option is using python libraries through py4cl/2. To put it differently, if calling python from lisp is not the bottleneck, then this is a feasible option.
- Using Lisp as a Dynamic Library
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What are the advantages of Hy/Hissp over python bindings for CL/Clojure?
py4cl2 (not py4cl!) author here. From the v2.9.0 docs:
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Design patterns for Lisp interop with other languages?
py4cl and py4cl2 represent a fairly pragmatic example of method 1, using an OS child process to communicate back and forth with your python code. Python is fairly popular and well-enabled with libraries, so you can delegate things to python that leverage those libraries.
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Image classification in CL? Help with starting point
If you can structure your code so that data de/serialization is not a bottleneck, then you could access the python libraries using py4cl/2.
What are some alternatives?
lisp-interface-library - LIL: abstract interfaces and supporting concrete data-structures in Common Lisp
py4cl - Call python from Common Lisp
fast-generic-functions - Seal your generic functions for an extra boost in performance.
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
cl-parametric-types - (BETA) C++-style templates for Common Lisp
numcl - Numpy clone in Common Lisp
ctype - CL type system implementation
farolero - Thread-safe Common Lisp style conditions and restarts for Clojure(Script) and Babashka.
numericals - CFFI enabled SIMD powered simple-math numerical operations on arrays for Common Lisp [still experimental]
vega-lite - A concise grammar of interactive graphics, built on Vega.
cffi - The Common Foreign Function Interface
Petalisp - Elegant High Performance Computing