Conda.jl is a community contribution as a package, not part of the core language. Likewise it is not strictly required. It does make using PyCall significantly more convenient. Maybe you might consider making a Pip.jl package that does something similar?
On Mon, Nov 2, 2015 at 4:18 PM, <[email protected]> wrote: > Yes. > > The practical problem is out of date packages and subtle incompatibilities > between "system" installs of Python and the private one. > > I now use the "Julia" Python as my 2.7 version and a system Python from > PSF for 3.5. > > Conda is limited to Python 3.4 and matplotlib 1.4.3. > > Conda et al will always lag a bit with the risk of more incompatibilities > creeping in. >
