I'm *really* impressed with CPython's bigint performance. It's beating Julia, which uses GMP! (I imagine Julia will overtake in future.)
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I've released difftastic 0.62! In this release:
* Updated parsers for Bash, C, C++, C#, CSS, Go, Haskell, HTML, Java, JavaScript, JSON, Julia, Lua, Objective-C, OCaml, PHP, Python, Ruby, Scala, TOML, TypeScript and XML.
* Obligatory crash fixes.
https://github.com/Wilfred/difftastic/releases/tag/0.62.0
It's so strange that we talk about languages being slow, and have done for years. Computer performance has increased so much in this time.
https://hbfs.wordpress.com/2009/11/10/is-python-slow/ (shared on HN in 2009) discusses Python being slow. My underpowered Thinkpad has 20x the single-threaded performance! https://www.cpubenchmark.net/compare/73vs3766/AMD-Athlon-64-4000+-vs-AMD-Ryzen-5-PRO-4650U
Maybe *relative* performance of languages matters more?
It's really satisfying to use a profiler for the first time on a project. I always find a big performance win with only a small code change.
It's never the code that I expected to be slow, however!