Julia
MATLAB
Python
GNU Octave
Rust
Wolfram Mathematica
Clojure
Scilab
GNU Compiler Collection
clang
LLVM
Tiny C Compiler
VS Code
MinGW
Cygwin
QBE
We recommend LibHunt Julia for discovery and comparisons of trending Julia projects.
{"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 should be more popular than GNU Compiler Collection. It has been mentiond 130 times since March 2021. 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.
If you're looking for a language that aims to solve the "two-language problem" like Mojo, but want something more open, more mature and less influenced by VC funding, check out Julia: https://julialang.org/. - Source: Hacker News / 4 months ago
The problem with MATLAB is that idiomatic MATLAB style (every operation returns a fresh matrix) can easily become very inefficient: it leads to countless heap memory allocations of new matrices, resulting in low data-access locality, i.e. Your data is needlessly copied around in slow DRAM all the time, rather than being kept in the fastest CPU cache. Julia's MATLAB-inspired syntax is at least as nice, but the... - Source: Hacker News / 9 months ago
In this post, We will learn how to simulate MRI physics In the Julia programming language, a free and open source programming language That excels especially in scientific computing. - Source: dev.to / 11 months ago
Mine is Julia, although I don't use diary. Nowadays I like SuperCollider. https://julialang.org. - Source: Hacker News / about 1 year ago
> I was active in the Python community in the 200x timeframe, and I daresay the common consensus is that language didn't matter and a sufficiently smart compiler/JIT/whatever would eventually make dynamic scripting languages as fast as C, so there was no reason to learn static languages rather than just waiting for this to happen. To be very pedantic, the problem is not that these are dynamic languages _per se_,... - Source: Hacker News / about 1 year ago
If you’re using gcc or clang, you can use the weak attribute; if you’re using MSVC, you’re out of luck since no equivalent attribute exists. - Source: dev.to / 9 months ago
Part of the gcc compiler tools is gcov, the GNU code coverage tool. This can be integrated into your build to provide code coverage reports. - Source: dev.to / 10 months ago
Prior to C23 or C++11, the only way to attach attributes was using compiler-specific syntax such as __attribute__ for gcc and clang, or __declspec for MSVC. - Source: dev.to / about 1 year ago
I want to compile C program for various operating systems from one machine, that's why on macOS M1 I use zig drop-in replacement compiler (can be used on Linux, Windows too) for cross-platform compilation. There are also clang, gcc (usually pre-installed on macOS and Linux). For Windows there are Visual Studio installer or mingw (which installs gcc). - Source: dev.to / over 1 year ago
If you are turning your source code into languages such as C or C++, it is required to have great understanding and knowledge of C/C++. Since these languages also have compilers be it GNU Compiler Collection or Clang, we have to do a lot of digging and researching around their features and functionalities. There is a lot of benefit in that once the target codebase grows and developers start reusing the target... - Source: dev.to / over 1 year ago
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
clang - C, C++, Objective C and Objective C++ front-end for the LLVM compiler.
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
LLVM - LLVM is a compiler infrastructure designed for compile-time, link-time, run-time, and...
GNU Octave - GNU Octave is a programming language for scientific computing.
Tiny C Compiler - The Tiny C Compiler is an x86, x86-64 and ARM processor C compiler created by Fabrice Bellard.
