[julia-users] Re: Loading a module without loading its submodules

I don't think Julia is really amenable to this kind of organization because Julia's modules have no logical relationship to filesystem layouts, whereas Python's system is all about filesystem layout and has nothing to do with textual inclusion. On Wednesday, February 24, 2016 at 1:28:08 PM

[julia-users] Re: deepcopy_internal and arrays

(offered with the caveat that I cannot answer your question) It seems to me that duplicating any singleton is incorrect, and so this is appropriately an "issue" with deepcopy. On Tuesday, February 23, 2016 at 10:10:24 AM UTC-5, Bill Hart wrote: > > Just correcting a typo in my question (the

Re: [julia-users] Re: Loading a module without loading its submodules

Thank you for your answers, they helped me a lot. I don't have a Python-like solution yet, but I have a starting point. On Wednesday, February 24, 2016 at 6:33:51 PM UTC-5, Yichao Yu wrote: > > On Wed, Feb 24, 2016 at 6:21 PM, Jeffrey Sarnoff > wrote: > > To allow

Re: [julia-users] combine function in sparse matrix

Actually it's https://github.com/JuliaLang/julia/pull/14798 On Wednesday, February 24, 2016 at 6:23:14 AM UTC-8, Kristoffer Carlsson wrote: > > https://github.com/JuliaLang/julia/pull/12608 > > On Wednesday, February 24, 2016 at 3:21:59 PM UTC+1, Christoph Ortner > wrote: >> >> Can you post a

Re: [julia-users] Adding the same functionality / variables into many functions

understood ... i was really focusing on this: "... essentially each macro introduces a new keyword." which is either true, or false ... and not having any real experience with the macro space i am assuming that it is true ... if it is true, then it seems reasonable to have the means to

Re: [julia-users] Adding the same functionality / variables into many functions

I think he was just referring to the fact that it's "one more thing to remember". For the record, I would never actually use this macro, for reasons implied by Mauro, but there are other, similar uses that this strategy could be benficial. The choice (IMO) should come down to which is more

Re: [julia-users] Adding the same functionality / variables into many functions

interesting ... what facilities are available to survey and reason about this "keyword" space ? On Wednesday, February 24, 2016 at 11:05:34 AM UTC-8, Mauro wrote: > > ... essentially each macro introduces a new keyword. >

Re: [julia-users] Re: Loading a module without loading its submodules

On Wed, Feb 24, 2016 at 6:21 PM, Jeffrey Sarnoff wrote: > To allow different independent capabilities and have them be read only if > chosen, you should have each capability be written as a separate module with > its own [set of] files. > If you want the user to see

[julia-users] Re: Loading a module without loading its submodules

To allow different independent capabilities and have them be read only if chosen, you should have each capability be written as a separate module with its own [set of] files. If you want the user to see them as subordinate to a larger package, let the larger package import each conditionally.

[julia-users] Re: Loading a module without loading its submodules

On Wednesday, February 24, 2016 at 4:15:49 PM UTC-5, Jeffrey Sarnoff wrote: > > This should not be a problem. What is your concern? > Loading time/RAM usage. I'm trying to wrap/port scikit-learn, and their module arrangement makes a lot of sense. In Python, I don't get to load code for

[julia-users] make() in Julia for data analysis

I'm interested in feedback on the following unregistered package that implements a build-dependency system like the *make* utility or Ruby's Rake: https://github.com/tshort/Make.jl (based on Mike Nolta's Rake.jl) For me, a typical project will have a script that reads in data followed by

[julia-users] Re: Loading a module without loading its submodules

With Julia, submodules are present in support of the packaged module's purpose. If the submodule is in a separate file and the package module include()s the submodule's file, it is read. If the submodule is in the same file as the other module and it really is a submodule, then it is

[julia-users] Loading a module without loading its submodules

In Python, loading a module (i.e. importing a file) does not load sub-modules, eg.: import sklearn import sklearn.linear_model Is there any way to achieve the same thing in Julia? module A println("loaded A") module B println("loaded B") end end Can I have "loaded A" without "loaded B"?

Re: [julia-users] Adding the same functionality / variables into many functions

> this is awesome > > thanks! A small word of caution: macros can make it harder for others (or your future self) to read the code, as essentially each macro introduces a new keyword. Just something to consider when introducing a macro; awesome as they are. > On Wednesday, February 24, 2016 at

[julia-users] Re: New Database Package -- Postgres

Nice to see an alternate approach. This should satisfy people who don't need the full async and minimal allocation of the upcoming DBAPI PostgreSQL.jl and want a simpler and more intuitive interface. I also like how you've handled types at the connection level. On Friday, 19 February 2016

Re: [julia-users] Adding the same functionality / variables into many functions

this is awesome thanks! On Wednesday, February 24, 2016 at 3:32:48 PM UTC+1, Tom Breloff wrote: > > Enjoy: > > > julia> macro n(expr::Expr) >@assert expr.head == :function >s = expr.args[1].args[2] >if isa(s,Expr) && s.head == :(::) >s =

Re: [julia-users] Make function with variable number of other functions as input fast?

On Wed, Feb 24, 2016 at 8:46 AM, Lars Mescheder wrote: > Hi, > first thanks for all the amazing work on julia! I am currently trying to > write a very general version of some optimization algorithm. Ideally, it > would take an array of linear maps as input and then perform

Re: [julia-users] Adding the same functionality / variables into many functions

Enjoy: julia> macro n(expr::Expr) @assert expr.head == :function s = expr.args[1].args[2] if isa(s,Expr) && s.head == :(::) s = s.args[1] end unshift!(expr.args[2].args, :(n = length($s))) esc(expr) end

Re: [julia-users] is Union type a preferred way in Julia?

Julia encourages both abstract types and unions as function arguments. However, in type declarations, parametric types are preferred. Both are likely to be handled at compile time, without run time overhead. This is, of course, only a rule of thumb. There are many cases where there is no good way

Re: [julia-users] combine function in sparse matrix

https://github.com/JuliaLang/julia/pull/12608 On Wednesday, February 24, 2016 at 3:21:59 PM UTC+1, Christoph Ortner wrote: > > Can you post a link to that pull request? > Thanks, Christoph > > On Wednesday, 24 February 2016 04:26:35 UTC, Tony Kelman wrote: >> >> It is possible to store explicit

Re: [julia-users] combine function in sparse matrix

Can you post a link to that pull request? Thanks, Christoph On Wednesday, 24 February 2016 04:26:35 UTC, Tony Kelman wrote: > > It is possible to store explicit zero values in sparse matrices, but not > via the sparse() function at the moment. You currently have to construct a > sparse matrix

[julia-users] Adding the same functionality / variables into many functions

Hi everybody, I have several functions operating on one dimensional vectors. Within each function the first thing I do is to define variable n holding the length of input vector x: n = length(x) Is that possible to factor out this pattern somehow from all functions definitions? (...like

Re: [julia-users] Re: Are dataframes the best way to manipulate data?

> > Project like JuliaDB isn't quite what I was looking for since I'm arguing > for a basic, core interface which will be used by julia's ecosystem of > plotting libraries, statistical packages, ML libraries, etc. The data may > come from a database or a csv or even generated on-the-fly. I think

[julia-users] Make function with variable number of other functions as input fast?

Hi, first thanks for all the amazing work on julia! I am currently trying to write a very general version of some optimization algorithm. Ideally, it would take an array of linear maps as input and then perform optimization depending on those. So, is it possible to make a function of the form

Re: [julia-users] Re: Are dataframes the best way to manipulate data?

Le mardi 23 février 2016 à 19:48 -0800, cdm a écrit : > > potentially of interest: > > http://www.johnmyleswhite.com/notebook/2015/11/28/why-julias-datafram > es-are-still-slow/ > > > > enjoy !!! Other references I forgot to mention:

Re: [julia-users] is Union type a preferred way in Julia?

> I know in F# people encourage Discriminated Unions, what about in Julia? I would say that Julia does not encourage them, but it is fine to use them. > I would like to do the following: > > immutable B end > immutable C end > > typealias A Union{B,C} > > function A(x::Int) > if x > 0 >

Re: [julia-users] Data structure for a "tree" matrix, for 2D monomial expansion?

There is also: - https://github.com/mbauman/RaggedArrays.jl which is being developed (I think) - https://bitbucket.org/maurow/ragged.jl/ which I abandoned. If I pick it up again, I'll probably use https://github.com/mbauman/RaggedArrays.jl See also:

Re: [julia-users] Data structure for a "tree" matrix, for 2D monomial expansion?

Thanks! RaggedArrays.jl looks like a good start, though it looks abandoned so I guess I’ll copy the necessary code (w/ License) and update as needed. > On 24 Feb 2016, at 5:25 PM, Tamas Papp wrote: > > These are called "ragged arrays", searching the list for this