NOTE: the Reduce.jl package has been created since this discussion started
Using Julia is a really great experience, thanks to all of you!
Since Julia is so inspired by the lisp language, is it feasible to combine the functionality of the Lisp-based computer algebra system known as Reduce Algebra (which is known to be the fastest of its genre) with the Julia language? Having high performance numerical computing in Julia is very great, can high performance symbolic computation also be emphasized? With SymPy and Symata and the Julia syntax, I see a promising future; but it needs to include Reduce algebra in its vision too, I believe. Reduce algebra does symbolic computation very efficiently and has many decades of experience and is available as open source. At the very least, there is probably something Julia could learn from it. Would be great if Reduce Algebra was added to the list of languages that helped inspire the future of Julia.
In the recently published paper in SIAM Review, there were some embedded examples of Jupyter REPL input and output. Is there a specific LaTeX package that was used to achieve this? Recently I discovered the SageTeX package, which is wonderful because it makes embedding and executing Sage code in a compiled LaTeX document a breeze. Will there be tools to make embedding Julia computations, code, and results into LaTeX documents easy and efficient in the future? If Julia was very easily callable from LaTeX, also for inserting graphics; that would be great.
These 2 topics are important for the future of the Julia language, I believe.
My point is only to raise these 2 topics to attention for further discussion,