How to manage Python path on MAC-CodePudding

I try to run Django project and create a new app. When the terminal run python manage.py makemigrations ,Django cannot be found and import error ,and the virtual environment is not activated?

After I tried to search the answer, it might be the problem of the interpreter. Then I found that I had installed multiple Python versions and anaconda.And macOS contains Python 2.7. I was completely confused.

The following is my zsh file


export PATH="/Library/Frameworks/Python.framework/Versions/3.8/bin/python3.8:$PATH"

#python
alias python='/usr/local/bin/python3' or alias python='/usr/bin/python3'

#conda
export PATH=/Users/smart/opt/anaconda3/bin:$PATH

#ruby

iterm2

 smart@smartMBP  ~  which python
python: aliased to /usr/bin/python3

 smart@smartMBP  ~  which -a python
python: aliased to /usr/bin/python3
/Users/smart/opt/anaconda3/bin/python
/usr/bin/python

 smart@smartMBP  ~  which -a python3
/Users/smart/opt/anaconda3/bin/python3
/Library/Frameworks/Python.framework/Versions/3.9/bin/python3
/Library/Frameworks/Python.framework/Versions/3.8/bin/python3
/usr/local/bin/python3
/usr/bin/python3

smart@smartMBP  ~  conda --version
conda 4.7.12

 smart@smartMBP  ~  echo $PATH
/Users/smart/opt/anaconda3/bin
/Users/smart/bin
/opt/flutter/bin
/Library/Frameworks/Python.framework/Versions/3.8/bin/python3.8
/Library/Frameworks/Python.framework/Versions/3.9/bin
/Library/Frameworks/Python.framework/Versions/3.8/bin

What shall I do? The path should use '/Library/Frameworks/Python.framework' or '/usr/bin/' ? Will Zsh only read the first effective path, or will it continue to read the overwritten path?

I want to delete and reinstall, but I'm afraid it will be bad

Thanks for any suggestions

CodePudding user response：

Use pip3.x (e.g pip3.10) to install the package on the latest/currently used version of Python:

pip3.10 install django

python3.10 -m pip install django

And make sure the program is run by the same python executable

python3.10 manage.py makemigrations

CodePudding user response：

you should use pyenv to isolate environment between each project