Manage Multiple Python Versions with PyEnv

Today we learn how to manage multiple Python versions with PyEnv.

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[jamesfraser]

Wow! Solved my tkinter problem and I learned how to easily switch python versions. As a python newbie I love this channel more then all the others.

[pintokatendejonathan]

thanks a lot for this video
Beacause i've some modules that are not compatible with the version of python great than 3.9

[usukumar]

please zoom it, text size is very small

[mikemixsosa]

Pycharm already do that with venv files right ? Just with the command venv\Scripts\activate to navigate through virtual environments that you have

[jonakthakuria]

First Comment wooo
Sir, could you give the Github repo link ?

[henriquealves]

It's 11:49 pm now here in Brazil and this video saved me. Thank you very much! It worked just fine.

[JesseJuup]

PyEnv or Conda? A: PyEnv is primarily a Python version manager, whereas Conda is a more versatile tool that can manage Python environments along with dependencies for various programming languages. The choice between them depends on your specific needs and whether you require isolation of both Python versions and packages or just Python version management. You could also research Docker - while PyEnv and Conda are primarily used for managing Python environments and dependencies, Docker provides a broader solution for packaging and running applications, including Python-based ones, in containers. The choice of which tool to use depends on your specific use case and requirements.

[BokoMoko]

Isn't it better to create a development container ?

[mai]

conda > all, but it cannot be used in enterprise anymore

[muhammadaneeqasif]

hy i love hiur content, please make some videos on design principles

[Ratmirsh]

Great! I needed it few days ago. Glad that I've found your channel)

[DJ-rrcj]

Absolutely love your content. Short, sweet, and to the point. Keep up the great work!

[intelligenceservices]

trying to use pyenv to set up an older version of python and using pip installs, but even though I'm supposedly in a venv, i'm getting the "error externally managed environment". i imagine this is because with pyenv, the shell doesn't know that i'm in a venv even though I've switched to that older version of python. presuming your linux system is up to date, I guess you should have seen this kind of error as well?

[ahopefiend]

There's a lot of stuff missing from this video. I followed these steps on two different raspberry pis with different results. It was a bunch of missing libraries.

[alfykerolous]

dude can u plz do dap on vimspector debugger i canot debug c c++ or anyother anything on vim plz u r my vim hero

[jmirodg]

PyEnv seems to do half of the job that Conda dose, why shall we use it?

[James-lsk]

Do not reccommend. It destroyed many paths in windows for me and was very difficult to uninstall. It never worked 100% because of some interaction with pipenv.

It's actually easiest to build every subversion from source and do a "sudo make altinstall" and mv the superverion to a subversion (i.e. mv python3.11 python3.11.5). Everything works this way until the end of time.

[kannansingaravelu]

Great find. However installation seems too heavy. Can you do a video on the installations as well?

[bennguyen]

Doesn't venv come standard with python, so what advantage of doing installing pyenv separately?

I suppose I'm asking, what's the difference between
venv / virtualenv and
pyenv (not pyvenv ) with or without the virtualenv plugin (i.e. pyenv-virtualenv)

[tpag]

good video. PDM is also a good alternative