ql-https
Petalisp
Our great sponsors
ql-https | Petalisp | |
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6 | 17 | |
16 | 424 | |
- | - | |
7.7 | 8.5 | |
about 2 months ago | about 2 months ago | |
Common Lisp | Common Lisp | |
MIT License | GNU Affero General Public License v3.0 |
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ql-https
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It's 2023, so of course I'm learning Common Lisp
Solutions for the lack of https:
- add in https://github.com/rudolfochrist/ql-https (downloads packages with curl)
- use another package manager, CLPM: https://www.clpm.dev (or the newest ocicl)
> CLPM comes as a pre-built binary, supports HTTPS by default, supports installing multiple package versions, supports versioned systems, and more.
- use mitmproxy: https://hiphish.github.io/blog/2022/03/19/securing-quicklisp...
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Ocicl – An ASDF system distribution and management tool for Common Lisp
Other options are:
- Quicklisp -really slick, libraries in there are curated. (with https support here: https://github.com/rudolfochrist/ql-https and here: https://github.com/snmsts/quicklisp-https.git)
- for project-local dependencies like virtualenv: https://github.com/fukamachi/qlot
- a new, more traditional one: https://www.clpm.dev (CLPM comes as a pre-built binary, supports HTTPS by default, supports installing multiple package versions, supports versioned systems, and more)
For recent Quicklisp upgrades: http://ultralisp.org/
Ocicl is very new (5 days) and tries a new approach, building "on tools from the world of containers".
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What do you think the risks/pitfalls of using Common Lisp are in a business?
You can use SSL with QuickLisp via ql-https
- quicklisp security (or total lack of it)
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Common Lisp Implementations in 2023
LPM's warning is not surprising. It's common for libraries (dare I say open-source ones?), even if they work well. It's part of the stability game, once they are marked 1.0, they are stable. LPM works well (as reported by others).
QL wants to do it portably, there are easy workarounds, but yeah…
(just saw https://github.com/rudolfochrist/ql-https)
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Securing Quicklisp through mitmproxy
That what I‘m doing: https://github.com/rudolfochrist/ql-https
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?
CSharpRepl - A command line C# REPL with syntax highlighting – explore the language, libraries and nuget packages interactively.
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
tungsten - A Common Lisp toolkit.
JWM - Cross-platform window management and OS integration library for Java
bettercap - The Swiss Army knife for 802.11, BLE, IPv4 and IPv6 networks reconnaissance and MITM attacks.
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
alive - Common Lisp Extension for VSCode
magicl - Matrix Algebra proGrams In Common Lisp.
thirteen-letters - Competitive word scramble in the browser, made for Lisp Game Jam (Spring 2023)
lish - Lisp Shell
quicklisp-https
StatsBase.jl - Basic statistics for Julia