Thanks. Regarding reimplementing the sympy functions, I can't predict what
will happen. There is a lot to be done that is not related to sympy... work
on pattern matching, refactoring, etc. For the forseeable future, I think
it makes sense to do this only in cases where the efficiency gained vs.
work required is high.
On Tuesday, October 18, 2016 at 11:02:35 PM UTC+2, mmus wrote:
>
> Very cool. Great work.
>
> Out of curiosity is the plan to implement all the sympy functions in the
> Julia in the future?
>
> On Tuesday, October 18, 2016 at 4:01:15 PM UTC-4, lapeyre@gmail.com
> wrote:
>>
>> Symata.jl is a symbolic math language. (The old name was SJulia.)
>>
>> You can add it with Pkg.add("Symata.jl"). The site is
>> https://github.com/jlapeyre/Symata.jl
>>
>> Notebook examples are here
>> https://github.com/jlapeyre/Symata.jl/tree/master/examples
>> (the math looks better in live Jupyter sessions)
>>
>> To try the latest features, you need to use the development version using
>> Pkg.checkout("Symata") after adding it.
>>
>> Among the New Things:
>>
>> * Builds and tests on Linux, OSX, and Windows using Travis and Appveyor.
>>
>> * Installation is much easier, using Steven Johnson's PyCall recipes.
>>
>> * Works in Jupyter notebook using IJulia.jl (It typesets the math using
>> LaTeX). Symata still works at the command line REPL as well.
>>
>> * A few tutorial notebooks are included. They cover a small fraction of
>> Symata.
>>
>> * ... oh, and rudimentary plotting via Plots.jl. This could be expanded
>> with little effort.
>>
>> Please file an issue on github, https://github.com/jlapeyre/Symata.jl,
>> if you have any problems or suggestions.
>>
>>
>>
>>
>>
>>
