pianojacq
gnu-parallel
pianojacq | gnu-parallel | |
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3 | 22 | |
- | 25 | |
- | - | |
- | 10.0 | |
- | about 9 years ago | |
Perl | ||
- | GNU General Public License v3.0 only |
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pianojacq
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Modern SPAs without bundlers, CDNs, or Node.js
As someone who does this too: it depends. If you take time out every now and then to completely refactor your code base it can actually be surprisingly effective. I've done exactly that on my last project and I'm pretty happy with the end result, you can have a look for yourself:
https://gitlab.com/jmattheij/pianojacq/-/tree/master/js
This project will likely never be finished, there are always nice new things to add or requests from people, there is no commercial pressure because it is a hobby project and I don't have a boss to answer to. And even if such refactoring operations take me two weeks or more (this one I did while I was mostly just working on a laptop without access to a keyboard so it was sometimes tricky to ensure that nothing broke) in the end it is worth it to me because I am also paying the price for maintaining the code and if it is messy then I would stop working on it.
The project moves forward in fits and starts, sometimes I work on it for weeks on end and sometimes it is dormant for months. In a commercial setting or in a much larger team I don't think this approach would work.
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Ask HN: What happened to vanilla HTML/CSS/JS development?
Two things:
- adding interactivity to a web page vs building an application. Those are not the same thing, and what you read applies to the first
- there's a widely accepted belief that vanilla js is not suitable to build apps. I don't buy in this belief. I have a built networked Scrabble game written in vanilla js. Both the backend and the frontend. This simplicity allowed external contributors not well versed in the modern web stack to contribute. I also was able to enter the code of Pianojacq (from jaquesm) [1] and contribute quite easily because he also chose vanilla js. This simplicity is very valuable, and lost with modern framework, and nobody is really concerned about this.
I've done some React development, so I know my way in a modern app. I've also contributed to a frontend written in Vue. I think they solve problems but bring complexity to the table, in particular the tooling (bundlers, minifiers, etc), the dependencies and the debugging being much harder.
It seems DOM manipulation through native browser API scares many people, but when it's what you are familiar with, your usual "framework", it's manageable. You need to be disciplined to avoid things getting messy (a discipline frameworks partially enforce), but I really believe you can go far with vanilla js.
I believe React & Co are often picked to ease beginners' contribution, but they actually do require expertise. I'd rather touch vanilla js code from a beginner or an experienced developer than a React code from a beginner.
It's a matter of taste. Vanilla JS has the taste of fresh air to me. It's zen. You write the code and it runs. No tools, no slow compilation, no minification that complexifies the debugging. Minification which is only useful because with those framework you bundle an awful quantity of code in the first place. Yes, source maps exists but they don't do everything.
But today you won't have access to the whole ecosystem of existing React components with vanilla JS. It might be a curse or a benediction.
[1] https://gitlab.com/jmattheij/pianojacq
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Lots of progress on the piano practice software
As for 1) yes, I can do that, the reason it is set where it is right now is because very soft keypresses on real pianos with sensorbars installed are typically fingers brushing keys on the way to other keys and these false triggers leave a lot of errors that aren't really errors. I'll make that setting configurable.
2) yes, if you look in the 'midi' directory on the gitlab site ( https://gitlab.com/jmattheij/pianojacq/-/tree/master/midi , but also linked from the application) there are whole bunch of them that all should work well
gnu-parallel
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SQL query execution idea
You can use GNU Parallel (https://www.gnu.org/software/parallel/) to run command-line clients with all of those queries. You can set up the upper limit of simultaneous clients run, and this will automatically handle all possible parallelism.
- Parallel – shell tool for executing jobs in parallel using one or more computers
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Distcc: A fast, free distributed C/C++ compiler
Some other multi machine options that have worked well for me, well beyond just compilation of C/C++ on multiple machines with multiple cores.
1) set up passwordless, ssh.
and
2) use the gnu parallel. https://www.gnu.org/software/parallel/
gnu parallel is super flexible, very useful.
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Peplum: F/OSS distributed parallel computing and supercomputing at Home with Ruby infrastructure
How does this stack up againg GNU parallel? If you just wanna parallelize CLI work-loads (like nmap), parallel should be easier, I guess.
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Search in your Jupyter notebooks from the CLI, fast.
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks.
- Is there a way to use all CPU cores while using RIBlast?
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Can cuda help me here?
Since you've got lots of images, you could use GNU Parallel to spread the job across multiple CPUs.
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5 great Perl scripts to keep in your sysadmin toolbox
Gnu parallel
- Is there an .deb package for installing GNU parallel?
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Modern SPAs without bundlers, CDNs, or Node.js
You could easily use something like GNU Parallel:
https://www.gnu.org/software/parallel/
What are some alternatives?
zynthian-sys - System configuration scripts & files for Zynthian.
Parallel
prehistoric-simulation - Simulator in browser
bazel-buildfarm - Bazel remote caching and execution service
systemjs - Dynamic ES module loader
lolcate-rs - Lolcate -- A comically fast way of indexing and querying your filesystem. Replaces locate / mlocate / updatedb. Written in Rust.
modern-todomvc-vanillajs - TodoMVC with Modern (ES6+), Vanilla JavaScript
xidel - Command line tool to download and extract data from HTML/XML pages or JSON-APIs, using CSS, XPath 3.0, XQuery 3.0, JSONiq or pattern matching. It can also create new or transformed XML/HTML/JSON documents.
yhtml - Tiny html tag function for rendering Web Component templates with event binding
jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
ripgrep - ripgrep recursively searches directories for a regex pattern while respecting your gitignore
parallel - xargs for concurrent, distributed execution of shell commands