wordsandbuttons
Agents.jl
wordsandbuttons | Agents.jl | |
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12 | 13 | |
482 | 692 | |
- | 1.7% | |
8.4 | 8.8 | |
7 days ago | 2 days ago | |
HTML | Julia | |
The Unlicense | MIT License |
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wordsandbuttons
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JavaScript Bloat in 2024
Meanwhile, all the pages on https://wordsandbuttons.online/ with all the animation and interactivity are still below 64 KB.
This one, for example, https://wordsandbuttons.online/trippy_polynomials_in_arctang... is 51 KB.
And the code is not at all economical. It's 80% copy-paste with little deviations. There is no attempt to save by being clever either, it's all just good old vanilla JS. And no zipping, no space reduction. The code is perfectly readable when opened with the "View page source" button.
The trick is - zero dependency policy. No third party, no internal. All the code you need, you get along with the HTML file. Paradoxically, in the long run, copy-paste is a bloat preventor, not a bloat cause.
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Writing HTML by Hand
I do all the https://wordsandbuttons.online/ by hand, and this is my top 10:
2527 p
- Homebrew Website Club
- Words and Buttons
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Rule of Three
Cloning things makes maintenance harder linearly. Generalizing things makes maintenance harder exponentially. Counterintuitively, generalization only makes sense on small numbers or reiterations, not the vice-versa.
I started https://wordsandbuttons.online as an experiment in zero-dependencies architecture. No third-party, no self-reference. Every page is completely independent. I was told, that as it grew, it would inevitably become impossible to maintain.
Five years passed, including a two-year pause for writing a book. I did more than half a hundred interactive tutorials and quizzes, and continue to add them when I have time. The thing simply refuses to go "too complex to maintain". All the maintenance problems I ever faced with this design were handled within minutes. If there is too much typing, I write a Python script. If not, I do the change manually, replicate it in a few pages, and go on.
As a free bonus, since all my pages are essentially hand-written, no dependencies = no uncontrolled growth, they are all fewer than 64 KB each. Ultra-fast to load, and I never get a "Reddit effect" since even 1000 requests a second is only 64 MB of data. It's green then tea too. I usually have a few hundred thousand visitors a year, and they barely consume enough electricity to boil a kettle of water.
I think this rule of three, like many others is just an attempt to escape well-known complexity issues by putting them under a carpet of less known complexity issues. I'm very happy to have ignored it when considering design for my site.
- Visualization of Common Algorithms
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If you can't write assembly like a poet, you can read disassembly like a hunter
Done! All the expandables have background colors now. https://github.com/akalenuk/wordsandbuttons/commit/22ef6295c... Thanks for the idea!
- Words and Buttons Online
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Ask HN: How to you monetize a tech blog?
Very indirectly. My https://wordsandbuttons.online/ helped me cement a publishing deal with Manning, and the book I wrote for them (https://www.manning.com/books/geometry-for-programmers) works as a hourly rate magnifier in contract work negotiations.
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Ask HN: What has your personal website/blog done for you?
I do https://wordsandbuttons.online/ as a personal-ish website. I don't append my face to every page but a visitor is usually a few clicks away from my other works so the site is de-facto more or less personal.
First of all, it's a nice hobby. No bullshit programming, no frameworks, no dependencies, no annoying editors. I just write my code and text and enjoy doing so.
Second, it gives powerful motivation to study. I'm now writing a new page on rational interpolation and just yesterday I accidentally found a very simple way to avoid the Runge effect. I was just playing with interactives and it came out of the blue. There is no way I would have learned it otherwise.
Third, it helped me cement a publishing deal with Manning. They came to me and proposed to propose them a book on geometry. And so I did. The book is called Geometry for Programmers and it's coming this summer.
Fourth, I do public lectures (or at least I used to before the war), and the audience loves interactive illustrations. So I usually turn my site pages into presentation-like pages and do lectures with them.
So for me, having a website pays off in multiple ways.
Agents.jl
- Ask HN: I just want to have fun programming again
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[P] Stochastic Differentiable Programming: Unbiased Automatic Differentiation for Discrete Stochastic Programs (such as particle filters, agent-based models, and more!)
We mean the standard "agent based model" https://www.pnas.org/doi/10.1073/pnas.082080899, https://en.wikipedia.org/wiki/Agent-based_model . The kind of thing you'd use Agents.jl for. For example, look at agent-based infection models. In these kind of models you create many individuals (agents) with rules. Each agent moves around, but if one is standing near an agent that is infected, there's a probability of infecting the nearby agent. What is the average percentage of infected people at time t?
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What are the Netlogo competitors?
Jullia has packages too.
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Julia ♥ Agent Based Modeling #2: Work, Eat, Trade, Repeat
Agent-based modeling looks like an interesting topic, something ripe for fun little side projects. The short (three paragraph) "Crash course on agent based modeling" [1] from the package docs gave me an idea of why ABM is useful, and scrolling through the example model [2] kinda answers what conveniences the package gives me over implementing the simulation myself.
Has anyone here used ABM for a serious project? Fields like economics and sociology are mentioned, but how prevalent is Agent based modeling in those fields in practice?
[1] https://juliadynamics.github.io/Agents.jl/stable/#Crash-cour...
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Tetris game as Agent-Based modeling: maximizing density
Are the pieces the agents? I would recommend looking at Collaborative Diffusion for some examples of combining agent-based techniques with game modeling. As for frameworks, check out agentpy or Agents.jl for alternatives that are moreso software libraries that presume knowledge of programming.
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What framework would you recommend to build a Tetris game AI using reinforcement learning?
I has a look to Julia too. There are nice tools build by JuliaDynamics. I.e. Agents.jl for agent based modeling. It handles collisions. There is also a framework for reinforcement learning. Also for Genetic Algorithms. Then I found a set of libraries related to Geometry. But it seems to be a lot of work to put that together for my use case.
- What would you like to see in a complex systems modeling software platform?
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Transition from R Tidyverse to Julia (VS Code)
For agent based modelling, you've come to the right place because Agents.jl is great! It has a way to get interactive visualisations from your models, although I haven't used it myself. See this year's JuliaCon talk about Agents.jl to get an idea of what it can do.
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Agent Based Simulation
I'm always happy to find you have documentation ;). The doc from https://github.com/JuliaDynamics/Agents.jl was pretty helpful to a noob like me.
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"No backend available" error when using InteractiveDynamics
Here is the issue. Someone already commented saying it's due to a change in InteractiveDynamics.jl and referenced a pull request. I guess all we need to do is wait.
What are some alternatives?
hiccup - Fast library for rendering HTML in Clojure
Molly.jl - Molecular simulation in Julia
org-clive
mesa - Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
rednafi.com - Musings & rants on software
LanguageServer.jl - An implementation of the Microsoft Language Server Protocol for the Julia language.
vscode-didact - Framework and tools for providing interactive tutorials with active links that call VS Code commands
NetLogo - turtles, patches, and links for kids, teachers, and scientists
handbook - The Jitsi Handbook
Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
love - LÖVE is an awesome 2D game framework for Lua.
ReinforcementLearning.jl - A reinforcement learning package for Julia