Microbenchmarks comparing the Julia Programming language with other languages
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Updated
Jul 27, 2025 - Jupyter Notebook
Microbenchmarks comparing the Julia Programming language with other languages
An inquiry into nondogmatic software development. An experiment showing double performance of the code running on JVM comparing to equivalent native C code.
Fortran-Julia syntax comparison and Maxwell Solver in 2D using Yee numerical scheme and MPI topology
The Marinchip/Autodesk/Fourmilab floating point benchmark, used since 1980 to evaluate the performance of machines and compilers on trigonometry-intensive floating point computations
Compare the similarities and differences between various programming languages
The Marinchip/Autodesk/Fourmilab floating point benchmark, used since 1980 to evaluate the performance of machines and compilers on trigonometry-intensive floating point computations
Links to speed comparisons of languages used in scientific omputing
An Operating Systems Course Project to compare Parallel Programming Constructs in Go,Elixir & Scala
A Minimal Functional Life
A modern, interactive platform for exploring and comparing programming languages. Built with SvelteKit and TailwindCSS.
Examples of simple R and Fortran programs that calculate descriptive statistics and of equivalent R and Fortran syntax
A repository for my (GPWR) practice with the lingpy module.
Article about Parallel Programming
The RQuest project uses R to analyze textual data, focusing on tasks like calculating word lengths, comparing languages, and extracting linguistic features with udpipe. It includes statistical methods, visualizations, and stochastic simulations, showcasing diverse approaches to text modeling.
For finding strings with particular md5 hashes
Cross-language exploration of module systems, scope, closures, and environment handling with formal verification
📊 Comparative Analysis of Amharic and Tigrigna - A Python-based project that measures linguistic similarity between Amharic and Tigrigna by analyzing word-level and phoneme overlap using SERA-based G2P tools. Results show high phonetic similarity and low lexical overlap, offering insights for linguists, educators, and NLP developers.
Simulate and compare finite state machines
A simple test to compare the speed of different languages. It runs an algorithm called FizzBuzz from 0 to 1000000 and calculates the time spent to run. It includes C, C#, Java, JavaScript, and Python.
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