It’s not for everyone yet. It’s still unstable, and its ecosystem is small. However, both are improving.
494 karma · joined March 17, 2021
It’s not for everyone yet. It’s still unstable, and its ecosystem is small. However, both are improving.
- make sure bring extension chords, and make sure you have enough fast wifi for all participants
- bring enough USB-s. Installation on older laptops can take time
- ventoy is useful
- for beginners stick to Fedora/Debian. Popular distros come and go, but these two are constant and will be supported for a long time
- don't give options to beginners if they don't ask for it. You will induce paralysis of choice
- automatic dual boot setup by Debian installer works very well. Partition shrinking on Windows isn't scary as I thought before
- sometimes you can't install BIOS/UEFI drivers without windows (on older devices). You maybe want to do that before installing Linux
- i think it is good to have a windows installation ready. At least for windows boot loader recovery if anything goes bad
- bitLocker can be PITA. Don't lock users device
- after installation update system
- write some material, what-to-do-after-installation guide, and give to participants. Maybe create group on some social network or messaging app
Just today, I finished first working version of the new compiler (https://github.com/ubavic/mint). It is written in Go, and there are lot of things on the TODO list, but it works :)
This is actually the second compiler for the atex. The first one was written in Haskell and compiled fixed document schema. I used it for writing a book on Haskell (https://github.com/ubavic/programming-in-haskell).
I am actually thinking these days about building a BASIC compiler for another Z80 retro machine (Galaksija). But I am a little bit afraid about the machine code generation part. How hard was it to target Z80?
Tensor product v₁⊗v₂ of vectors form V is bilinear form on the dual space V* defined by v₁⊗v₂(ω₁,ω₂) = v₁(ω₁)v₂(ω₂). Tensor product V⊗V is space of all bilinear forms on V*,
This can easily be generalized to products of forms (covariant tensors), and mixed tensor products. Getting coordinate representation in basis (E₁ ... Eₙ) is trivial: (v₁⊗v₂)ₖ,ₗ = v₁⊗v₂(εₖ,εₗ) where εₖ is dual to Eₖ...
I am happy that 'Corporate Memphis' is dying, but I am not happy it is getting replaced with another fad.
Makes me wonder, does someone keep track of web design trends trough history?
If you are in Belgrade you will maybe interested into Decentrala (https://dmz.rs). Decantrala is a new tech-community/hackerspace organized around idea of decentralization and knowledge sharing. We try to organize talks/workshops every week and we covered many topics: form lambda calculus to Mail servers and PGP.
We all share love for technology, but we try to organize as much as possible events live because we believe that live contact is very important today. If you are seeking friends and you love technology, come and visit us.
Does someone knows why Go uses env variables (like GOOS and GOARCH) instead command line arguments?
I am interested in simulators, especially in simulators of analogue circuits. Do you have any recommendations on where to start reading about algorithms that lie at the core of simulators?
Also, how was the experience developing such product with JS?
BTW: Every January is month of creative coding (https://genuary.art/), so you can join hundreds of other artists in 'solving' daily prompts. I did last Genuary (well not all prompts), and I got some some results that I am proud of (https://github.com/ubavic/genuary2022). That was the first time I coded in Processing.
Also, now when I have my dream tool for publishing, I am thinking of my next web book project (probably on Complex Analysis).
It is unfortunate coincidence, but Haskell sum types don't correspond to sums of spaces. Sum type is disjoint union of types, while sum of (vector) spaces is isomorphic to Cartesian product of those spaces (and therefore corresponds to product types in Haskell).
Question for people that already do generative art: what library (framework) do you recommend? I know a little bit about GLSL but I know it is limiting in some cases
Of course, mathematics will continue to develop in unimaginable directions, but the “base” notions in math will stay the same. I am talking here about notions of relation, function, group, vector space, tensor, category, measure, integral... Even if some of those are known for a long time, formal definitions that we use today are pretty new. And it seems to me that those will stay fundamental for a long time.
(Seems to me that other sciences (like physics and biology) don’t have that “stability”. In those fields, it wouldn't be too surprising if we discovered some fact that changes a lot we know about it)
Also, as these core notions of math will stay the same, math notation will stay the same also. And that is a good sign that we will continue to use TeX for a loooong time
Serbia is definitely becoming a Chinese colony. China is placing dirty industries here, effectively cutting transportation costs to the EU and reducing pollution in China. Also, a few years ago there were official government proposals (like this) to bring Chinese police to Serbia.
Unfortunately, the EU absolutely doesn't care about any of this and actively supports the Vucic regime.
I don't know of any such list. I was thinking of including native platforms in the list, but I think that there are no too many examples. Web is dominant platform for this.
I just made a awesome-type list of tools that can be used for creating interactive mathematics (and physics) visualizations like we see here. Feel free to add tools that i forgot to mention.