Julia
MATLAB
Python
GNU Octave
Rust
Wolfram Mathematica
Clojure
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CodinGame
HackerRank
Codewars
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Codility
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Exercism
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Julia
CodinGame{"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 CodinGame. 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 / 3 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 / 8 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 / 9 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
Are you sure, I got a link to a codingame.com assessment from block. Source: about 3 years ago
This, and OP should practice handling the stress. Find a friend to do interviews with, or give yourself a timer, or whatever. codingame.com is a good alternative if you want to try dealing with a timer and don't want to be able to cheat. Source: about 3 years ago
Just jumped to codingame.com and start (cant) solving puzzles. Source: about 3 years ago
Personally, I like codingame.com (completely free unless you are an employer) - Their simple puzzles are great places to get an idea of how programming works and the kinds of problems they solve. I think the first puzzle I was able to solve as a beginner in a few days. Source: over 3 years ago
I believe it's possible to use rust in codingame.com. Is that ok for you? Source: over 3 years ago
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Codewars - Achieve code mastery through challenge.
GNU Octave - GNU Octave is a programming language for scientific computing.
CodeSignal - CodeSignal is the leading assessment platform for technical hiring.