I think Conda is the way to go, because: - there is Miniconda that doesn't force you to install all PyData packages. - virtual envs and needed packages are all

I think Conda is the way to go, because: - there is Miniconda that doesn't force you to install all PyData packages. - virtual envs and needed packages are all defined in simple yaml file. - it works well with pip. So if a package isn't in Conda repository, you can install from pip. The annoyance here is that you must try conda, fail, and then try pip. - you can easily clone envs. So you can have some base envs with your usual packages (or one for Python 2 and another fo Python 3), and just clone them to start a new project.