docx4j
speed-comparison
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| docx4j | speed-comparison | |
|---|---|---|
| 1 | 9 | |
| 1,946 | 351 | |
| - | - | |
| 0.0 | 0.0 | |
| 6 months ago | 18 days ago | |
| Java | Earthly | |
| - | MIT License |
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docx4j
speed-comparison
- Douglas Crockford: “We should stop using JavaScript”
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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).
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speed comparison of various programming languages, Julia (AOT) is on fire!!!
They are including loading and compilation in the benchmark. https://github.com/niklas-heer/speed-comparison/issues/22
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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?
Apache POI - Mirror of Apache POI
documents4j - documents4j is a Java library for converting documents into another document format
fastexcel - Generate and read big Excel files quickly
pandoc-include - An include filter for Pandoc
OpenCV - Open Source Computer Vision Library
arl - lists of most popular repositories for most favoured programming languages (according to StackOverflow)
go-updater - Update framework (golang)
pivotnacci - A tool to make socks connections through HTTP agents
NumPy - The fundamental package for scientific computing with Python.
Apache ZooKeeper - Apache ZooKeeper
wordhoard - This Python module can be used to obtain antonyms, synonyms, hypernyms, hyponyms, homophones and definitions.
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