161–170 of 446 posts
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Yeah, same here. Once I hit on that, it was really hard to convince myself to read further.
If 1-indexing seems strange, you're probably not doing mathematical or statistical computing, so it's probably not the language for you.
When I do sigmas in math, they go: i=0,i<n and very rarely i=1, i<=n unless the problem really is made simpler by the weird 1-based indices.
Does it support light-weight threads (co-routines) channels yet? (and if it does, does it multiplex them on mulitple CPUs?). I had a look a few years ago, and then it did not. I think this is so badly needed to get an easy route to pipeline paralellism, which is simply everywhere in today's data analysis "pipelines".
Yes it does: https://docs.julialang.org/en/latest/base/multi-threading/ https://docs.julialang.org/en/latest/manual/parallel-computi... It's listed as experimental since in a 1.x released it's planned to be changed to work on top of the task interface.
> [...] it may change for future Julia versions, as it is intended to make it possible to run up to N Tasks on M Process, aka M:N Threading
M:N threading is (I think) the same as the "multiplexing" I mentioned. Have seen it called "M:N multiplexing" before.
(At the very end of https://docs.julialang.org/en/latest/manual/parallel-computi...)
As an outsider, I'd like to see somewhere near the home page a few short snippets of code to get a feel for Julia and hopefully show the kind of uses for which it is a natural choice. Nim's home page¹ shows a piece of sample code right at the top. Perl6's page² has a few tabs quickly showing some patterns it's good at. Golang³ has a dynamic interpreter prepopulated with a Hello World. Julia's home page shows a nice f…
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It most certainly is for the vast number of folks who code in C, C++, Java, Python, etc ... It will for sure hurt adoption.
It's not any harder to get used to than using whitespace for blocks in Python, or having to end every damn statement with a semicolon in the C inspired languages.
Strongly disagree.
I can move from C to Python without a second thought and rewrite code from one to the other without even thinking.
Having to rewrite an algorithm working on multidimensional arrays that was written with 0-based conventions to 1-based conventions and have the resulting code remain readable is a freaking headache.
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You do realize that 0-based indexing is mostly because of C's huge influence and not because it's natural to higher level languages, particularly ones that are designed with scientific computing in mind. Fortran existed before C. It's also not hard to get used to. No more OB1 errors.
>No more OB1 errors That makes no sense. Neither 1-based indexing or 0-based indexing will save you from OB1 errors. As a matter of fact, if you make more OB1 errors in a 0-based indexing language, it's probably because your brain is wired to think 1-based. The problem: there are legions of programmers whose brain is wired to think 0-based and are guaranteed to suffer through a lot more OB1 errors if they try to adop…
As an outsider, I'd like to see somewhere near the home page a few short snippets of code to get a feel for Julia and hopefully show the kind of uses for which it is a natural choice. Nim's home page¹ shows a piece of sample code right at the top. Perl6's page² has a few tabs quickly showing some patterns it's good at. Golang³ has a dynamic interpreter prepopulated with a Hello World. Julia's home page shows a nice f…
For scientific computing, showing the package ecosystem is the most important thing. When you look at this thread, people are asking about dataframes and differential equations. Julia's site reflects this: yes there are things like Pandas, and for plotting, etc.
Issue filed: https://github.com/JuliaLang/www.julialang.org/issues/115.
As an outsider, I'd like to see somewhere near the home page a few short snippets of code to get a feel for Julia and hopefully show the kind of uses for which it is a natural choice. Nim's home page¹ shows a piece of sample code right at the top. Perl6's page² has a few tabs quickly showing some patterns it's good at. Golang³ has a dynamic interpreter prepopulated with a Hello World. Julia's home page shows a nice f…
As an outsider, I'd like to see somewhere near the home page a few short snippets of code to get a feel for Julia and hopefully show the kind of uses for which it is a natural choice. Nim's home page¹ shows a piece of sample code right at the top. Perl6's page² has a few tabs quickly showing some patterns it's good at. Golang³ has a dynamic interpreter prepopulated with a Hello World. Julia's home page shows a nice f…
For scientific computing, showing the package ecosystem is the most important thing. When you look at this thread, people are asking about dataframes and differential equations. Julia's site reflects this: yes there are things like Pandas, and for plotting, etc.
The first impression does leave me thinking that using Julia for different programming domains like distributed internet-facing servers or web services is not something it was built for.
say you have an array of memory items. [][][][][][] this will be marked with some marker (your varible names contain this offset into memory.. logical. thats how computer works.) then in computer, (assembly) you will request an element by saying for example base_offset+(1 elem_len). that would make it logical to use 0 as an offset, because then you can use 'n elem_len' as a generic number to incrememnt the offset by…
> for a computer and how it functions And what about for a human and how it functions? Are humans here to make computers' lives easier or vice versa? Humans think from 1...N inclusive and this is the source of a litany of bugs when users first learn a language. And what you described in asm is just one implementation. In fact, the array documentation says Julia doesn't guarantee tight packing so it doesn't even apply…
I think you're assuming everyone thinks the way you do. I assure you that's not the case. There are legions of people (and not just programmers, math folks do it too) who don't "think from 1 to N"
Julia is a great language and was really useful in my PhD. The #1 requirement I have is the ability to make binaries for some program. You can compile a C program and get a binary. There's no practical equivalent for Julia at the moment and I think this limits its production potential.
Well... https://www.youtube.com/watch?v=kSp6d3qSb3I
Not had chance to how nicely PackageCompiler.jl works but am hopeful :)