#How to install jupyter notebook mac how to#

Once you're done, head back up to Step 3. Note that the normal Anaconda download won't work here, as the M1 computer isn't 64-bit. You'll need to login with your Apple ID and follow the instructions. Step 4: You can install Python by going to XCode Command Line Tools. New Mac operating systems should have it already installed, so if you're finding an error, make sure that there isn't a typo somewhere.

If you get a command not found: python3 error, this means that you need to install Python.

If you see something similar Python 3.X.Y, with the > at the bottom, then great! That means Python 3 is installed.

The Python interpreter open in the Terminal. In the terminal, type python3 and hit Return. Step 3: Let's check if Python has been installed.

If, instead, your Terminal says command not found: jupyter then you need to see if Python is even installed before you can install Jupyter.

The traditional Jupyter interface, with several folders visible. (It's OK if you get a kernel error, we'll figure that out later!) Skip to step 6.ДЄ screenshot of a Terminal with Jupyter successfully running.

If your Terminal looks like the image directly below and a Jupyter interface opens in your browser like the the second image below, then Jupyter is installed.

Step 2: In your Terminal, type jupyter notebook and hit Return. Step 1: Open up your Terminal by holding Command and hitting Space, which should bring up your Spotlight Search. If you know with certainty that you have Jupyter downloaded, you can skip down here.) Check if Python & Jupyter are already installed. (We'll assume you don't know if you have Jupyter on your computer yet.

#How to install jupyter notebook mac how to#

In this blog, we'll walk through how to get Jupyter functional on your M1 computer - starting with the download step and ending with a fully operational Jupyter notebook. 1Г— Prepping to run a Jupyter notebook on my new MacBook Run a Jupyter notebook on Apple M1 MacД®ither you're opening a notebook right now and your kernel instantly dies, or you haven't been able to get a Jupyter notebook operational yet.