PEP 762 – REPL-acing the default REPL

I'm sure it's for exactly the same reason that I'm often hesitant to install it - huge dependencies:

  $ pip show ipython
  [...]
  Requires: appnope, backcall, decorator, jedi, matplotlib-inline, pexpect, pickleshare, prompt-toolkit, pygments, stack-data, traitlets

Also, I'm genuinely thrilled to see cross-pollination from pypy back to cpython, so am actually really glad they did it this way - as cpython's JIT becomes production-ready, maybe more bits of python will become be self-hosting?

Also, jedi depends on parso. Parso does not yet support `match` (which is a big problem for me, as it means I need to switch AST library backing mutmut).

My guess is that it's not really designed to be fully severed from Jupyter. It certainly shouldn't require Matplotlib to run a console REPL.

While I haven’t figured out how, it is my understanding that there exists a workflow where you have ipython/jupyter installed once, and then have them use the Python interpreter and modules associated with each project.

But I’ve never figured it out and instead have a `requirements-dev.txt` with Jupyter and Ipython in every project because they are so good to have on hand when developing

I am pretty sure matplotlib is not required. That is just a convenience library that improves the notebook experience if matplotlib is loaded. So you no longer need to run the magic function ‘%matplotlib inline’