Re:Python's New Package Landscape
by neves on Thursday October 18, 2018 @11:41AM
(#18249250)
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.
- 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.