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{"data_science" => "Data scientists who require a fast and flexible language for data manipulation and analysis.", "machine_learning" => "Developers looking to implement machine learning models that benefit from Julia's performance.", "numerical_analysis" => "Engineers and analysts conducting numerical analysis that demands high computational efficiency.", "scientific_computing" => "Researchers and scientists working on mathematical, statistical, and computational problems."}
Based on our record, Julia seems to be a lot more popular than PicoLisp. While we know about 125 links to Julia, we've tracked only 10 mentions of PicoLisp. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Gotta admit, the author has a nice sense of eDSL https://picolisp.com/wiki/?taskDB. - Source: Hacker News / 3 months ago
It doesn't grow from cons cells, which some people think is crucial for an authentic Lisp. They also tend to exclude Clojure. I think maybe the Janet designers don't want to get bogged down in the language wars, and don't really care whether lispers enjoy their language or not. A language with Lisp in the name and cons cells that a purist might argue isn't an authentic Lisp is Picolisp, e.g. Because it has FEXPR:s... - Source: Hacker News / 3 months ago
Build your Apps in PicoLisp without an Android SDK "PilBox (`PicoLisp Box') is a generic Android App which allows to write Apps in pure PicoLisp, without touching Java, and without the need of an Android SDK. "You do not need to root your device. And - if you prefer - you do not need a separate development machine (PC or laptop): All can be done in a terminal on the device, and even in a Lisp REPL while the App is... - Source: Hacker News / 11 months ago
A similar thing happened in 2011 when the picolisp project published a 'ticker', something like a markov chain generating pages on the fly. https://picolisp.com/wiki/?ticker It's a nice type of honeypot. - Source: Hacker News / about 1 year ago
I love(d) PicoLisp. I have run Windows, Linux (many flavors on many machines), and MacOS, but my working OS is Windows, and I could not get the x64 PicoLisp running on Windows back then without using Cygwin or MinGW. I can run it on WSL[1], however, it still requires a POSIX environment. Is there a way to compile a Windows binary without the POSIX required for a working PicoLisp environment? I know it switched to... - Source: Hacker News / almost 2 years ago
Julia: Exceptional Numerical Processing. - Source: dev.to / about 2 months ago
To use Julia – one of the best programming languages, which is unfairly considered niche. Its applications go far beyond HPC. It’s perfectly suited for solving a wide range of problems. - Source: dev.to / about 2 months ago
In this post, I’m exploring dev tools for data scientists, specifically Julia and Pluto.jl. I interviewed Mandar, a data scientist and software engineer, about his experience adopting Pluto, a reactive notebook environment similar to Jupyter notebooks. What’s different about Pluto is that it’s designed specifically for Julia, a programming language built for scientific computing and machine learning. - Source: dev.to / 4 months ago
Julia Seasons of Contributions (JSoC). - Source: dev.to / 4 months ago
Related, Julia: https://julialang.org/. - Source: Hacker News / 5 months ago
Racket Lang - Racket (formerly PLT Scheme) is a modern programming language in the Lisp/Scheme family, suitable...
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Chicken - A portable and efficient cross-platform Scheme implementation that compiles to C.
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
Guile - Guile is the GNU Ubiquitous Intelligent Language for Extensions, the official extension language for the GNU operating system.
GNU Octave - GNU Octave is a programming language for scientific computing.