cl-repl
Petalisp
cl-repl | Petalisp | |
---|---|---|
4 | 17 | |
150 | 425 | |
- | - | |
0.0 | 8.5 | |
almost 3 years ago | about 2 months ago | |
Common Lisp | Common Lisp | |
GNU General Public License v3.0 only | GNU Affero General Public License v3.0 |
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cl-repl
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Improving REPL experience in terminal?
But you don't have syntax highlighting :( On errors, the debugger looks arcane… cl-repl or sbcli might help. With sbcli, you even don't have the interactive debugger, only the stacktrace. It's easier for beginners (or for quick development). They are based on readline and do some things well (match parenthesis, multiline input for cl-repl).
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Is There Any Method For Checking If REPL Is Running As a Login Shell?
In order to get syntax highlighting as well as tab completion I have been using cl-repl. I have been having this issue, as well as another issue with cl-repl inheriting some stuff, but do not seem to have the same issue in sbcl either. Could it be a bug in cl-repl? Is there a solid alternative for sbcl?
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Help me understand how the REPL actually works
If you are doing it for learning, that's fine! But otherwise you could check out and contribute to Alive for VSCode. There's also cl-repl which I think can be distributed in the form of binary images.
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Why You Should Learn Lisp In 2022?
Then, of course, a solution is to run the scripts from our editor… or from a friendly terminal-based interface? There's Lish, the Lem editor (for CL, Python and other languages), friendly REPLs… (cl-repl)
Petalisp
- Petalisp: Elegant High Performance Computing
- Is there a tutorial for automatic differentiation with petalisp?
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Is there a language with lisp syntax but C semantics?
While not "as fast as C" (C is not the absolute pinnacle of performance), Common Lisp is incredibly fast compared to the majority of programming languages around today. There is even a huge amount of ongoing work being done to make it faster still. We are seeing many interesting projects that make better use of the hardware in your computer (e.g. https://github.com/marcoheisig/Petalisp).
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Common Lisp Implementations in 2023
i think lisp-stat library is actually being developed. however one numerical cl library that doesnt get enough mention and is being constantly developed is petalisp for HPC
https://github.com/marcoheisig/Petalisp
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numericals - Performance of NumPy with the goodness of Common Lisp
However, if you have a lisp library that puts those semantics to use, then you could get it to employ magicl/ext-blas and cl-bmas to speed it up. (petalisp looks relevant, but I lack the background to compare it with APL.)
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New Lisp-Stat Release
> his means cl pagckages can be "done".
this is true if there is nothing functional that can be added to a package. however its very much not true for ml frameworks right now. new things are being added all the time in the field. however even in the package i linked you have the necessary ingredients for any deep learning model: cuda and back propagation. the other person mentioned convolution which i think is pretty trivial to implement but still, if you expect everything for you to be ready made then you should probably stick to tf and pytorch. if you want to explore the cutting edge and push the boundaries then i think common lisp is a good tool. as an aside it might also be interesting to note that a common lisp package (Petalisp) is being used for high performance computing by a german university
https://github.com/marcoheisig/Petalisp
- The Julia language has a number of correctness flaws
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When a young programmer who has been using C for several years is convinced that C is the best possible programming language and that people who don't prefer it just haven't use it enough, what is the best argument for Lisp vs C, given that they're already convinced in favor of C?
One trick is that Common Lisp can generate and compile code at runtime, whereas static languages typically do not have a compiler available at runtime. This lets you make your own lazy person's JIT/staged compiler, which is useful if some part of the problem is not known at compile-time. Such an approach has been used at least for array munging, type munging and regular expression munging.
What are some alternatives?
lish - Lisp Shell
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
cl-cookbook - The Common Lisp Cookbook
JWM - Cross-platform window management and OS integration library for Java
magic-ed - Editing facility for Common Lisp REPL
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
awesome-lisp-companies - Awesome Lisp Companies
magicl - Matrix Algebra proGrams In Common Lisp.
sbcli - A REPL for my SBCL needs
trivial-toplevel-prompt - Portability library to customize CL implementations' REPL prompt.
StatsBase.jl - Basic statistics for Julia