speed-comparison
proposal-async-explicit-resource-man | speed-comparison | |
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2 | 9 | |
- | 430 | |
- | - | |
- | 4.6 | |
- | 3 months ago | |
Earthly | ||
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
proposal-async-explicit-resource-man
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TypeScript 5.2's New Keyword: 'using'
https://github.com/tc39/proposal-async-explicit-resource-man...
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Douglas Crockford: “We should stop using JavaScript”
I'm not _entirely_ sure which RAII you mean, but if you mean something like C#'s `using` or Java's `try-with-resources` or Python's `with`, then https://github.com/tc39/proposal-explicit-resource-managemen... and https://github.com/tc39/proposal-async-explicit-resource-man... are in stage 3 (of 4 stages) in ECMAScript's language proposal lifecycle and will be coming to a JS engine near you behind a flag soon-ish.
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.
What are some alternatives?
proposal-async-explicit-resource-management - ECMAScript Async Explicit Resource Management
arl - lists of most popular repositories for most favoured programming languages (according to StackOverflow)
isograph - The UI framework for teams that move fast — without breaking things.
OpenCV - Open Source Computer Vision Library
proposal-class-method-parameter-decorators - Decorators for ECMAScript class method and constructor parameters
docx4j - JAXB-based Java library for Word docx, Powerpoint pptx, and Excel xlsx files
pivotnacci - A tool to make socks connections through HTTP agents
Apache ZooKeeper - Apache ZooKeeper
NumPy - The fundamental package for scientific computing with Python.
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
Vue.js - This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
PRAW - PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.