speed-comparison
pivotnacci
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speed-comparison | pivotnacci | |
---|---|---|
9 | 1 | |
422 | 637 | |
- | 1.4% | |
4.6 | 0.0 | |
2 months ago | about 3 years ago | |
Earthly | Python | |
MIT License | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
speed-comparison
- Douglas Crockford: “We should stop using JavaScript”
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How often do you guys actually use C?
For example, Java runs on the JVM (Java Virtual Machine) instead of running directly on the hardware, and it also has a garbage collector to handle memory management. Running on a virtual machine means your code is more abstracted: you only have to worry about the JVM and not about the platform you’re running on (since the JVM is the platform), and it’s more portable since your code can go on anything that runs the JVM. But running the JVM as an intermediate layer takes more computing power and so does running garbage collection, meaning that you experience a performance penalty. Here’s one benchmark I could find comparing the use of different programming languages to compute pi, in which Java took about 3x as long as C to complete the same task
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AITA for telling my 9 y/o daughter she sucked for not writing professional-level code?
Or you've got the speed comparisons (https://github.com/niklas-heer/speed-comparison) -- Python is probably something like 10% the speed of C/C++ (although, like I said, 99% of the time that's comparable to premature optimization).
- sou iniciante e com uma dúvida, python é realmente lento? ou é só meme?
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Why does Julia use jit?
Looks like a PR was merged yesterday to make the code more simd friendly https://github.com/niklas-heer/speed-comparison/pull/52
- speed comparison of various programming languages, Julia (AOT) is on fire!!!
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An Apple fan walks into a bar....
Sure, they could have chosen Python. But I doubt the language differences account for even a noticeable percentage of the slowness of Brew.
- There is framework for everything.
pivotnacci
What are some alternatives?
arl - lists of most popular repositories for most favoured programming languages (according to StackOverflow)
OpenCV - Open Source Computer Vision Library
tree-hugger - A light-weight, extendable, high level, universal code parser built on top of tree-sitter
docx4j - JAXB-based Java library for Word docx, Powerpoint pptx, and Excel xlsx files
pugdebug - Standalone xDebug client for PHP applications written in Python and Qt5, official fork.
Apache ZooKeeper - Apache ZooKeeper
phpvuln - 🕸️ Audit tool to find common vulnerabilities in PHP source code
NumPy - The fundamental package for scientific computing with Python.
project-euler - My solutions for Project Euler problems in Python, C, C++, C#, F#, Go, Haskell, Java, JavaScript, PHP, Ruby, SQL
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
webshell - This is a webshell open source project