My preferred method is adding the following lines to your. Now we need a way to tell our machine to use the x86 version of brew and pyenv. Otherwise, follow Step 2 in the “Installing Python versions using pyenv” instructions. If you already installed it above, you’re all set. It’s exactly the same as installing Homebrew on the ARM64 architecture, but it will automatically be installed to a different location. Install Homebrewįollow the simple instructions here. You can now use this new terminal to execute commands using Rosetta and the x86 architecture. Navigate to /Applications/Utilities and duplicate Terminal: Now we need a way to run commands using Rosetta. Then follow the prompts to agree to the license agreement and run the installation. To install Rosetta, run this command in your terminal: softwareupdate -install-rosetta If you need to use a version of Python for x86 architecture, you will need Rosetta. Rosetta is software that allows Apple Silicon Macs to run apps designed for Intel-based Macs. Otherwise you are sacrificing performance for no benefit. Try the previous steps first and only come here if you encounter package installation issues. Only follow these steps if you need to use packages that only work on x86 architecture. And better yet, you can still use pyenv to manage your environments. Eventually the problem should go away when developers add ARM64 support for their packages, but you’re going to have find another solution in the meantime.įortunately, there’s a short term solution: you can install Python with x86 architecture on an Apple Silicon Mac. You’ll get errors during installation and you won’t be able to use the package in your code. Some Python packages are not yet supported on Apple’s ARM64 architecture - for example, I ran into that problem with the ortools package. Unfortunately, you might occasionally encounter package compatibility issues. This is mostly a good thing - the only difference you’ll notice in day-to-day usage is that the new chips are faster and more efficient than the old ones. When Apple switched from Intel chips to their in-house Apple Silicon chips, they changed from x86 architecture to ARM64 architecture. ![]() However, with the newer Macs (personally, I use an M1 MacBook Air) you might run into issues when installing certain packages. The steps above will almost always be sufficient. Additional challenges with Apple Silicon Macs To activate the environment, run pyenv global 3.9.7 (to make it the default version everywhere) or pyenv local 3.9.7 (to make only the current directory use this version). For example, to install Python 3.9.7 you would run pyenv install 3.9.7 (use pyenv install -l to display a list of versions available for install). You have successfully installed pyenv! 3. Then quit your shell session and start a new one for the changes to take effect. # ~/.zprofile # eval "$(pyenv init -path)" # ~/.zshrc # if command -v pyenv 1>/dev/null 2>&1 then eval "$(pyenv init -)" fi ![]() Add the following lines to ~/.zprofile and ~/.zshrc (or ~/.bash_profile and ~/.bashrc if you’re still using bash):.To install, follow these instructions (or see the full installation instructions on the official GitHub repository): It allows you to install multiple versions of Python and easily switch between them. Pyenv is a Python version management tool. To install it, follow the simple instructions here. It allows you to install all sorts of useful tools. See the documentation for full details, but here are the simple instructions to install any version of Python: 1. It’s really easy to install and manage multiple versions of Python using pyenv. Linux users might benefit from the pyenv tutorial, but Windows users are out of luck - pyenv does not officially support Windows. Note: this article is geared towards Mac users, and especially Apple Silicon Mac users. With pyenv you can install multiple Python versions on your machine and easily switch between them. That’s where version management comes in, and my preferred tool is pyenv. As a data scientist I encounter this all the time - I frequently need to rerun old analyses or projects, so I need a way to support multiple Python versions on my machine. On the other hand, you don’t want to break all of your old code when you upgrade your installed Python version. ![]() One one hand, Python is an active language and you’ll want to take advantage of the newest features ( Python 3.10 was recently released!). You probably won’t use the same version of Python for all of your projects for the rest of eternity.
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