My Python Development Environment, 2018 Edition
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My Python Development Environment, 2018 Edition
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Re: My Python Development Environment, 2018 Edition
#2>Why? pipenv handles dependency- and virtual-environment-management in a way that’s very intuitive (to me), and fits perfectly with my desired workflow.
Why specifically do you use it instead of virtualenv (+virtualenvwrapper)?
Re: My Python Development Environment, 2018 Edition
#3Pyenv looks great! Sad I didn't know about this sooner, though I do have the luxury of using mostly one version of Python and have only confused it for the system Python once or twice.
Re: My Python Development Environment, 2018 Edition
#4>Why? pipenv handles dependency- and virtual-environment-management in a way that’s very intuitive (to me), and fits perfectly with my desired workflow. Why specifically do you use it instead of virtualenv (+virtualenvwrapper)?
It was easier for me to setup and maintain multiple virtualenvs. It automatically checks for security vulnerabilities. The docs at http://pipenv.readthedocs.io/en/latest/ are worth a read. It might be a bit more opinionated than some folks are used to.
Re: My Python Development Environment, 2018 Edition
#5>Why? pipenv handles dependency- and virtual-environment-management in a way that’s very intuitive (to me), and fits perfectly with my desired workflow. Why specifically do you use it instead of virtualenv (+virtualenvwrapper)?
pipenv is basically a wrapper around virtualenv (similar to virtualenvwrapper), but also provide other features (like deterministic builds). It has replaced pip, virtualenv and dealing with requirements.txt files in my workflow. More information is in their docs: https://docs.pipenv.org/.
Re: My Python Development Environment, 2018 Edition
#6>Why? pipenv handles dependency- and virtual-environment-management in a way that’s very intuitive (to me), and fits perfectly with my desired workflow. Why specifically do you use it instead of virtualenv (+virtualenvwrapper)?
pipenv has Pipfile support, which is nice because you don’t need multiple requirements.txt floating around, and pinning is way nicer. Apart from that, it isn’t unlike virtualenvwrapper, but it’s way less hacky. Works on non-bash compatible shells and Windows, it loads .env files automatically, and it’s generally a pleasure to use. Highly recommended.
Re: My Python Development Environment, 2018 Edition
#7Pyenv looks great! Sad I didn't know about this sooner, though I do have the luxury of using mostly one version of Python and have only confused it for the system Python once or twice.
Pyenv is great. On our Macs we've had zero issues installing older, specific versions of Python, every time. Highly recommended. (Getting it working properly with zsh was a bit frustrating, but that's my own fault.)
Re: My Python Development Environment, 2018 Edition
#8Is there a command needed in pipenv like the one needed in virtualenv? eg.
> source env/bin/activate
Why is pipsi a separate thing?
Re: My Python Development Environment, 2018 Edition
#9>Why? pipenv handles dependency- and virtual-environment-management in a way that’s very intuitive (to me), and fits perfectly with my desired workflow. Why specifically do you use it instead of virtualenv (+virtualenvwrapper)?
pipenv combine pip and venv. It's not just about activating. If you install, it will create the virtualenv if it's missing.
It also, like pew, opens the virtualenv in a new shell instead of activating the current shell. A much saner approach.
The UI is also more user friendly: one entry point for everything, pretty colors and icons, auto-correct of package name, and so on.
Using Pipfiles, instead of requirements, are generally a better experience than requirements.txt since it contains dev and prod dependancies and allow separated dependancy pinning, with file hash.
Re: My Python Development Environment, 2018 Edition
#10there are way too many python dep/env managers/things
pipenv
pyenv
mkvirtualenv
virtualenv
pipsi
venv
pew
conda
virtualenvwrapper
i'm sure i'm forgetting like 5.
this is like https://xkcd.com/927/
for the record i use pyenv and virtualenv (although playing with ML i'm using conda)