inflection
heck
inflection | heck | |
---|---|---|
2 | 2 | |
481 | 462 | |
- | - | |
2.5 | 5.2 | |
9 months ago | about 2 months ago | |
Python | Rust | |
MIT License | Apache License 2.0 |
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inflection
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To Ruby from Python
> Could you elaborate on this
I think it's more than evaluating each feature in isolation like migrations, ORM, template engine, etc..
As much as I like Python (I use Flask a lot too besides Rails), I always found Rails to include more useful features for building web applications than Django. There's lots of examples but Rails' inflector is one of them. This happens all the time in web apps, which is wanting to output "1 person" or "2 people". Rails give you a template helper for this. Python has options in the form of third party tools like https://github.com/jpvanhal/inflection, but would you rather pull in a third party tool that hasn't been updated in 2+ years or use a solution maintained by a group of folks who are building web apps used by millions of people and then extracted those features into a framework?
The APIs in Rails feel more intuitive to me (super opinion based of course), but it's like someone tried 10 different variants in a few large web apps, tinkered with it for a while, arrived at a solution and that's the one that ships with Rails. There's so much thought put into everything and you know when it's released it's been put through the ringer at Basecamp, Hey, GitHub and Shopify because those sites all run off Rails master. That's a massive amount of confidence that it'll for you too, and the best part is you get to benefit from that on day 1 when a new stable release is shipped.
It's not that Django is bad or unstable but in my opinion if I were looking to use a batteries included framework I wouldn't look anywhere else besides Rails. It's just one of those things where it feels like a really good combination of things all came together (Ruby, Matz, DHH, Basecamp, lots of sites using it, enough community support to find blog posts for tons of stuff, great third party SDK support, etc.). You could say a number of languages have similar traits but they lack the first 4 things which are IMO the most important.
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PyHeck: I wrote a fast case conversion library with just 106 lines of Rust code
PyHeck is 5-10x faster than the established case conversion library, inflection.
heck
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I compared this crate and ChatGPT code. And ChatGPT code was faster then this one. Maybe need to optimize algorithm
Maybe need to use a crate with a cooler name https://github.com/withoutboats/heck
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PyHeck: I wrote a fast case conversion library with just 106 lines of Rust code
The actual code for PyHeck is very simple because it's just a thin wrapper around the Rust library heck. So this a good opportunity to talk about writing Rust extensions without talking about whether Rust is hard.
What are some alternatives?
SpriteKit+Spring - SpriteKit API reproducing UIView's spring animations with SKAction
convert-case - Converts to and from various cases.
pyheck - Python bindings for heck, the Rust case conversion library
nix - Nix, the purely functional package manager
R.swift - Strong typed, autocompleted resources like images, fonts and segues in Swift projects
Technicolor - Rainbow? To heck with rainbows! Technicolor is where it's at! Sounds fancier! Because it is. Technicolor lets you add rainbow colors to your lights, notes, walls, sabers, and even bombs. Chose between different Technicolor styles for your personal rainbow experience.
unholy - a ruby-to-pyc compiler - _why mirror
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
Ruby on Rails - Ruby on Rails
unholy - a ruby-to-pyc compiler
zeitwerk - Efficient and thread-safe code loader for Ruby