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We recommend LibHunt Ruby for discovery and comparisons of trending Ruby projects.
We recommend LibHunt Julia for discovery and comparisons of trending Julia projects.
Ruby Julia{"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 Ruby. While we know about 125 links to Julia, we've tracked only 4 mentions of Ruby. 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.
On Thursday, I shared the importance of contributing to Ruby's documentation, and I wanted to show that even a small contribution can help. Thus, I showed a small PR I submitted for the ruby-lang.org website:. - Source: dev.to / 7 months ago
The counter function is written in Ruby. Since Ruby is an interpreted language, AssemblyLift deploys a customized Ruby 3.1 interpreter compiled to WebAssembly, which executes the function handler. Since the interpreter is somewhat large, the cold-start time of a Ruby function tends to be larger than that of a Rust function. Our counter is being run in the backround, so we're fine with it being a little bit laggy... - Source: dev.to / over 2 years ago
But, in general I was told use rubyapi.org unless you _really_ want to stick with the ruby-lang.org docs for all you do (which is fine) or to dig more into some object hierarchy, etc. Source: almost 3 years ago
[2] 'rbenv' - https://github.com/rbenv/rbenv - Ruby version management utility. Run something like rbenv install 3.1.1 to install that version on your system (requires related project ruby-build), then rbenv local 3.1.1 in your code's directory to specify that for any ruby command in that directory only, you want to use version 3.1.1 that you installed through rbenv. Does other useful stuff too. Only does Ruby,... Source: over 3 years ago
Julia: Exceptional Numerical Processing. - Source: dev.to / about 1 month 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 1 month 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 / 3 months ago
Julia Seasons of Contributions (JSoC). - Source: dev.to / 4 months ago
Related, Julia: https://julialang.org/. - Source: Hacker News / 5 months ago
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
GNU Octave - GNU Octave is a programming language for scientific computing.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible