lisa
hotwire-rails
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lisa | hotwire-rails | |
---|---|---|
6 | 98 | |
198 | 960 | |
0.5% | - | |
9.7 | 3.2 | |
9 days ago | over 2 years ago | |
Jupyter Notebook | Ruby | |
Apache License 2.0 | 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.
lisa
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So, I wrote a Maybe monad in Python 3
You might be interested in that: https://github.com/ARM-software/lisa/blob/master/lisa/monad.py
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Parca Agent rewrites eBPF in-kernel C code in Rust (using Aya-rs)
This is to replace the current flow purely based on pandas dataframe and offline trace.dat parsing used in LISA: https://github.com/ARM-software/lisa (collecting a trace.dat is nice for debugging but limits to small durations, and pandas does not allow running computations in constant memory, which is an issue for very big traces)
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Languages with integrated dependency injection
The module added by this PR seems to be a pretty good fit: https://github.com/ARM-software/lisa/pull/1722
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What tools are missing in Python?
I made that thing taking some vague inspiration from SML module system: https://github.com/ARM-software/lisa/pull/1722/files
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The pipe-operator to python |>
import builtins from operator import add import functools # These functions can be found at: # https://github.com/ARM-software/lisa/blob/master/lisa/utils.py#L147 # Note: my implementation of curry() seems to be broken wrt named parameters (or for parameters with defaults, haven't looked at the details) for some reason but for this example it does not matter from lisa.utils import compose, curry def even(x): return x % 2 == 0 # The builtin functions don't have a signature, which will upset curry() so we # redefine it here def map(f, iterable): return builtins.map(f, iterable) def filter(f, iterable): return builtins.filter(f, iterable) # Swapped init and iterable to be curry-friendly def reduce(f, init, iterable): return functools.reduce(f, iterable, init) def pipeline(*items): # Add a currying layer so that we spare the user the need to do it return compose(*(curry(f)(*args) for (f, *args) in items)) # x = filter(even, list) |> map(lambda x: x+1) |> reduce(+) f = pipeline( (filter, even), (map, lambda x: x+1), (reduce, add, 0), ) l = [1,2,3,4] x = f(l) print(x)
hotwire-rails
- It's not Ruby that's slow, it's your database
- Howire Not Working after deploying to Heroku
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What's New in Rails 7
Applications generated with Rails 7 will get Turbo and Stimulus (from Hotwire) by default, instead of Turbolinks and UJS. Hotwire is a new approach that delivers fast updates to the DOM by sending HTML over the wire.
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Ask HN: What tech stack would you use to build a new web app today?
For Ajax-y stuff, I am really excited by the new crop of "HTML-as-a-Service" or "HTML-over-the-wire."
https://htmx.org/
https://hotwired.dev/
- Ask HN: Do we need JavaScript web frameworks?
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anyone have full tutorial how to upgrade from rails 6.1 to rails 7 ?
For all the turbo/stimulus/hotwire mix, you want to add a new feature just for the sake of adding it? or do you have a use case that fits the feature? if you have then you probably already have an implementation with a different technology (stimulus reflex? some custom websockets or ajax implementation? something with anycable?) and you have to check how to migrate from that technology to hotwire. If you just want to use the feature with no real need for it to practice then just pick any tutorial from the internet (like the intro in the official website https://hotwired.dev).
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Ask HN: What are you favorite goto frameworks when writing Web Aplications
I was recently interested in similar topic. Here are 3 similar solutions I found:
* https://htmx.org/
* https://unpoly.com/
* https://hotwired.dev/
My personal preference is Unpoly (the idea of "layers" is awesome). But the best explanation of concept as a whole (HATEOAS, keeping app state on server using partial page updates, etc) is at HTMX homepage, and in these essays:
* https://htmx.org/essays/hateoas/
* https://htmx.org/essays/locality-of-behaviour/
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Hotwire isn't only for Rails
At the end of 2020 the Basecamp team released a collection of Javascript libraries called Hotwire. Modern web stacks have popularized javascript-rendered front ends and JSON transmissions. Hotwire's primary motivation is to reduce the Javascript footprint and allow application front ends to be created in primarily HTML. It pairs very nicely with the Ruby on Rails ideology and is often demonstrated in that context. I aim to write a series on how Hotwire can be used in any application to simplify development and reduce the need for heavy Javascript downloads. Hotwire currently consists of two javascript libraries: Turbo and Stimulus. The first part of this series introduces Turbo.
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How do you handle views?
I've been doing that a while until I just got sock of the JS spagetti and often duplicated code and went full on Angular CSR and never looked back. That being said, I've been seeing a lot recently about Laravel's Livewire and Symfony and Ruby on Rail's integration with Hotwire (stimulus+turbo).
- Why learn Rails as a frontender?
What are some alternatives?
PyInstaller - Freeze (package) Python programs into stand-alone executables
htmx - </> htmx - high power tools for HTML
parca-agent - eBPF based always-on profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!
SvelteKit - web development, streamlined
PyFunctional - Python library for creating data pipelines with chain functional programming
Alpine.js - A rugged, minimal framework for composing JavaScript behavior in your markup.
blazon - A python library for assuring data structure and format via schemas like JSON Schema
Svelte - Cybernetically enhanced web apps
datoviz - ⚡ High-performance GPU interactive scientific data visualization with Vulkan
phoenix_live_view - Rich, real-time user experiences with server-rendered HTML
awesome-functional-python - A curated list of awesome things related to functional programming in Python.
inertia-laravel - The Laravel adapter for Inertia.js.