#Pycharm for mac m1 download how to

You can now create a new virtual environment based on Python 3.9. It doesnвЂ™t matter if yours is newer, as long as executing the command doesnвЂ™t result in an error. HereвЂ™s mine: Image 2вЂЉ-вЂЉMiniforge version (image by author) This will print out the Miniforge version. Once installed, open up a new Terminal window and execute the following command: conda -V The installation is straightforward, so I wonвЂ™t cover it here. YouвЂ™ll want to download the ARM64 version, the one marked on the following image: Image 1вЂЉ-вЂЉMiniforge download page (image by author)Д¬licking on the link will download the SH file, which you can then install through Terminal: sh As of now, Miniforge runs natively on the M1 chip, so thatвЂ™s the distribution youвЂ™ll use. You can install them with the following command: xcode-select -installДЄnd finally, youвЂ™ll need Anaconda. Keep in mind that you donвЂ™t need the Xcode itself, just the command line tools. The installation will take a couple of minutes, and once done you can install the Xcode tools. You can copy/paste the installation command straight from their website: /bin/bash -c '$(curl -fsSL )' Those are Homebrew, Xcode tools, and Anaconda. YouвЂ™ll need to install three things before you can even think about TensorFlow. You can access the source code on GitHub. I also made a video tutorial, so feel free to check it out: YouвЂ™ll also train a simple neural network, just to verify everything works properly. Today youвЂ™ll install TensorFlow and TensorFlow Metal on your M1 Mac. Most guides online would seem to work until you start the trainingвЂЉ-вЂЉthen the Python kernel dies and thereвЂ™s nothing you can do. TensorFlow has been a nightmare to install properly, especially if you want to use MacвЂ™s GPU. No library gave developers so much headache as TensorFlow. Still, almost a year since launch, installing and managing Python packages feels harder than it should. Nothing really comes close if you consider the efficiency and the form factor.

The M1 chip is a remarkable piece of technology.

#Pycharm for mac m1 download how to

And how to train neural networks on M1 GPUвЂЉ-вЂЉSource code included.