You'll have to change its permissions and run it through the terminal: cd
How to install anaconda python on mac for mac#
Download the ARM64 version for Mac - the one marked on the image below: Image 1 - Miniforge download page (image by author) As of now, Miniforge runs natively on all M1 chips (M1, M1 Pro, M1 Max), so we'll stick with it. If you can't install XCode tools straight away, please restart the terminal window and try again.įinally, you'll need Anaconda. You can install the first two through Mac's terminal with the following commands: /bin/bash -c "$(curl -fsSL )" You'll need a couple of things installed before you can even think about TensorFlow - Homebrew, XCode tools, and Anaconda. Install TensorFlow Prerequisites on MacBook Pro M1 Pro We'll also verify TensorFlow was installed by training a simple neural network.ĭon't feel like reading? Watch my video instead: Everything you'll see will work on regular M1 and M1 Max chips, as long as it's Apple Silicon.
How to install anaconda python on mac how to#
Today I'll show you how to install TensorFlow 2.7 on MacBook Pro M1 Pro. Stay tuned to the blog for the upcoming benchmarks and comparisons for data science. It wipes the floor with my M1 Macbook Pro from the last year and in some tests comes close to my custom configuration with RTX 3060Ti. New M1 Pro and M1 Max Macbooks don't look as chunky in real life.Īnyhow, I opted for the "base" model 16" M1 Pro Macbook Pro with 10-core CPU, 16-core GPU, and 16 GB of RAM. I was a bit skeptical at first and decided not to buy the new laptop, but after seeing the 16" in the store I couldn't resist.
Apple markets these towards content creators, but rest assured, the performance you can squeeze as a data scientist is worth talking about.
The new M1 Pro and M1 Max are what the professional users have been waiting for. Install and test TensorFlow 2.7 on the new M1 Pro and M1 Max chips from AppleĪpple's M1 chip completely revolutionized the industry back in 2020.
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