There exists a windows version for this tool as well. See the Windows section https://telin.ugent.be/telin-docs/windows/
This should also work for MacOS users.
We recommend to use pyenv if you struggle with various python language versions!
#do not use sudo!
curl https://pyenv.run | bash
This will install the tool in your ~/.pyenv directory
Issue this command to add it when you login:
cat >> ~/.profile << EOF
export PYENV_ROOT="$HOME/.pyenv"
[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"
eval "$(pyenv init -)"
eval "$(pyenv virtualenv-init -)"
EOF
Restart your shell for the changes to take effect, logout/login or e.g. source ~/.profile
pyenv install -l
Let’s assume you want to have this specific pypy3.10-7.3.17 version:
pyenv install pypy3.10-7.3.17
pyenv shell pypy3.10-7.3.17
# ready to go!
python3 --version
Python 3.10.14 (39dc8d3c85a7, Aug 27 2024, 14:32:27)
[PyPy 7.3.17 with GCC 10.2.1 20210130 (Red Hat 10.2.1-11)]
pyenv global pypy3.10-7.3.17
cd Downloads
pyenv local pypy3.10-7.3.17
python3 --version
Python 3.10.14 (39dc8d3c85a7, Aug 27 2024, 14:32:27)
[PyPy 7.3.17 with GCC 10.2.1 20210130 (Red Hat 10.2.1-11)]
cd ..
python3 --version
Python 3.12.3
By using pyenv we can flawlessly switch to any version in any directory. If you install packages with pip3
, they will be installed in this specific version you use e.g. in our case under
~/.pyenv/versions/pypy3.10-7.3.17/lib/pypy3.10/site-packages
If you want to separate the packages in a different directory, use a python virtual environment, in this case we create a venv
directory:
python3 -m venv venv
. venv/bin/activate
Then your packages will be separatly placed in venv/lib/pypy3.10/site-packages
.
(venv) $ pip3 install numpy
Collecting numpy
Using cached numpy-2.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.1 MB)
Installing collected packages: numpy
Successfully installed numpy-2.1.1
(venv) $ ls venv/lib/pypy3.10/site-packages/
_distutils_hack numpy numpy.libs pip-23.0.1.dist-info setuptools
distutils-precedence.pth numpy-2.1.1.dist-info pip pkg_resources setuptools-65.5.0.dist-info
Using pyenv and python virtual environments gives alot of flexibility to maintain python in your projects.