And to quickly expand on the Plots issue... SymPy should be removing any
dependency on Plots in the near future (John we'll chat soon), and should
be switching to providing recipes through
https://github.com/JuliaPlots/RecipesBase.jl. (this is the missing
"_apply_recipe" that you see) I'm very far along in rebuilding the
internals of Plots to make recipes first-class citizens and to enable lots
of cool features in the process. In fact much of the logic has been
re-coded internally as recipes, and so far it's going really well. I plan
on writing a blog post about the rebuild after dev work calms down, and
I'll go into a lot more detail at my JuliaCon workshop. I'll try to help
with compatibility issues, but I'm focused right now on getting this into a
usable state.
On Mon, May 16, 2016 at 11:35 AM, Rob J. Goedman <goed...@icloud.com> wrote:
> Thanks Kevin,
>
> That solved the problem!
>
> I used 'condo install mpmath’ in addition to ‘pip install mpmath’, just to
> make sure (shows I am way too rusty on Python stuff), and then reinstalled
> both SymPy and Julia.
>
> Thanks a lot, will certainly track Julia development!
>
> Regards,
> Rob
>
> On May 16, 2016, at 08:19, Kevin Squire <kevin.squ...@gmail.com> wrote:
>
> Hi Rob,
>
> You'll need to install the `mpmath` package for python.
>
> If you use `pip`, you should just be able to run `pip install mpmath`.
>
> Otherwise, you'll have to find and install the package using your
> preferred method.
>
> (I also ran into this. John, you should probably mention this in the
> README.)
>
> Cheers,
> Kevin
>
> On Mon, May 16, 2016 at 8:14 AM, Rob J. Goedman <goed...@icloud.com>
> wrote:
>
>> Hi,
>>
>> As I use Mathematica quite a bit, I’m very interested in SJulia!
>>
>> I’m wondering if I need an additional Module or library to get around
>> below issue. This is on OS X and Julia 0.5-
>>
>> *ERROR: InitError: PyError (:PyImport_ImportModule) <type
>> 'exceptions.ImportError'>*
>> *ImportError('No module named mpmath',)*
>>
>> * [inlined code] from /Users/rob/.julia/v0.5/PyCall/src/exception.jl:56*
>> * in pyimport(::String) at
>> /Users/rob/.julia/v0.5/PyCall/src/PyCall.jl:285*
>> * [inlined code] from /Users/rob/.julia/v0.5/SJulia/src/SJulia.jl:3*
>> * in import_sympy() at /Users/rob/.julia/v0.5/SJulia/src/sympy.jl:23*
>> * in init_sympy() at /Users/rob/.julia/v0.5/SJulia/src/sympy.jl:677*
>> * in __init__() at /Users/rob/.julia/v0.5/SJulia/src/SJulia.jl:64*
>> * in _require_from_serialized(::Int64, ::Symbol, ::String, ::Bool) at
>> ./loading.jl:174*
>> * in require(::Symbol) at ./loading.jl:365*
>> * in eval(::Module, ::Any) at ./boot.jl:226*
>> *during initialization of module **Julia*
>>
>> On Julia 4.0 SymPy won’t work on my system (it complains about
>> precompiling):
>>
>> *julia> **using SymPy*
>> *INFO: Precompiling module SymPy...*
>> *ERROR: LoadError: LoadError: UndefVarError: _apply_recipe not defined*
>>
>> But on Julia 5.0:
>>
>>
>> *julia> **using SymPy*
>>
>> *x = symbols("x")*
>> *x*
>>
>> *julia> **a = [x 1; 1 x]*
>> *2×2 Array{SymPy.Sym,2}*
>> *⎡x 1⎤*
>> *⎢ ⎥*
>> *⎣1 x⎦*
>>
>> *julia> **det(a)*
>> * ⎛ 1⎞*
>> *x⋅⎜x - ─⎟*
>> * ⎝ x⎠*
>>
>> *julia> **versioninfo*
>> *versioninfo (generic function with 4 methods)*
>>
>> *julia> **versioninfo()*
>> Julia Version 0.5.0-dev+4110
>> Commit 5d52f02 (2016-05-16 02:25 UTC)
>> Platform Info:
>> System: Darwin (x86_64-apple-darwin15.5.0)
>> CPU: Intel(R) Core(TM) i7-4980HQ CPU @ 2.80GHz
>> WORD_SIZE: 64
>> BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
>> LAPACK: libopenblas64_
>> LIBM: libopenlibm
>> LLVM: libLLVM-3.7.1 (ORCJIT, haswell)
>>
>> On May 12, 2016, at 19:47, lapeyre.math1...@gmail.com wrote:
>>
>> The symbolic mathematics language project that I announced last year has
>> been greatly expanded.
>>
>> Here is the link: https://github.com/jlapeyre/SJulia.jl
>>
>> The best way to find what is new is to look at the tests
>> https://github.com/jlapeyre/SJulia.jl/tree/master/sjtest
>>
>>
>>
>
>
