Как установить jupiter notebook на mac

Installing Jupyter in Macbook Air M1

In this post I’m going to list the steps to install jupyter notebooks in a Macbook Air M1.

What is Jupyter notebook?

It’s an open-source web application that allows us to share and create documents that have live code, visualizations, and narrative text.

It supports over 40 programming languages (not only Python) and you can share those documents with others using Github, Dropbox, or email.

Why Jupyter if I’m a Java developer?

At the time of writing this blog post, I don’t have experience developing with Python and I decided to give it a try playing around with the language and with Jupyter notebooks.

Java is criticized for its verbosity as a programming language and Python is recommended for beginners because the learning curve is lower and in few lines of code you can achieve more.

Even that a vast majority of my experience has been working with Java, I’m curious about other programming languages and technologies that can help solve problems differently.

Installing Homebrew

Having homebrew installed on your laptop is useful because it’s a package management system that allows you to install anything that you need in your mac system.

You just have to copy-paste the following command in your terminal and execute. More information available here.

After installing it we can update brew with the following command.

Installing Python

We then install pyenv that lets us switching Python version easily.

with the following command, we install Python version 3.9.1

with the following command, we can add the initialization of pyenv new values into the .zshrc file, this way we don’t have to type the same command everytime we open a new terminal, in my case I use iterm2 .

then we set the Python version 3.9.1 globally.

Installing Jupyter

With the next command, we can install jupyter using pip3 that is a package management system useful to install and manage software packages written in Python.

Running Jupyter

Once jupyter is installed we can run a jupyter notebook with the following command.

And ‘voila’ we have jupyter notebook running in our Macbook Air M1 on http://localhost:8888/tree

Fixing the Jupyter kernel issue

There’s a problem with Jupyter notebook kernel that stops working in our shiny Macbook m1 laptop. A workaround is explained in this George Hotz youtube video.

We have to look for eventloops.py file in our system. To do this we can execute the following command:

Then in my case, I found the file in the following path that I opened using vi

We have to navigate to the function def _use_appnope() and the line of code to change is the return line. After V(‘10.9’), we have to add:

we save and close the file and the kernel should not stop anymore 🙂

As a workaround to the following problem:

then after installing it execute the following command in the terminal

next step open file .zshrc and add the following line at the end of file

close the terminal and open a new one, then execute:

and you should see

Conclusion

In this post, we have seen how to install Jupyter notebook in a Macbook Air M1. Now it’s time to see what things we can do with Jupyter notebooks but this will be in another post.

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Installing Jupyter on a Mac using Homebrew

Installing Jupyter on OS X using Homebrew for Machine Learning.

Here’s how to install Jupyter with python and R integration on OSX using Homebrew.

Step 0 — Install Homebrew

Read this tutorial on how to install Homebrew on OS X.

Step 1 — Install pyenv

Mac Os X come with Pythong 2.7 pre-installed but many Machine Learning packages are progressing to Python 3.x. Therefore, it’s recommended you start using Python 3 and the best way to do that is to first install pyenv version manager. This will allow you to install any version of Python you’d like.

First update Homebrew package manager.

Install pyenv version manager.

Step 2 — Install Python

Install Python 3.x using pyenv . You can see a list of version from the Python website.

Double check your work.

You’ll also need to configure your

If you need more help with pyenv , I suggest you reading my other article titled Installing multiple versions of python on OS X using Homebrew

Step 3 — Set Python to Local or Global

If you only want to use Python 3.x for a specific project, then cd to your specific directory and type:

If you’d prefer to just have Python 3.x installed globally throughout your operating system, then type:

Step 4 — Install Jupyter

Jupyter is an acronym for Julia, Python and R but these days, other languages are also included such as Ruby.

Step 5 — Start Jupyter

Now it’s time to start the jupyter notebook.

Step 6 — Done!

You’re Done Installing Jupyter. Please proceed if you now want to use R language with Jupyter.

Troubleshooting

If you’re struggling to get configure bash profile, this has also worked for a few different developers.

Resources

Although it takes a little bit of extra work to get R working with Jupyter, it’s totally worth it. Otherwise, if you want to import data, clean it, structure it and process it, you’ll have to have to learn all of these other Python libraries to do what R does natively.

  • NumPy supports scientific computing and linear algebra support.
  • Pandas provide data frames which make it easy to access and analyze data. This is a data manipulation tool.
  • Mat plotlib is a 2D publication library that produces high quality graphics.
  • Scikit-learn’s purpose is to support machine learning and therefore it’s used for many of the tasks performed routinely in machine learning. A few key features are:
    • It works well with the libraries stated above.
    • It helps integrate the algorithms we will use for predictive models.
    • Methods that will help us pre-process data.
    • Methods for helping us measure the performance of our models.
    • Methods for splitting data into test sets
    • Methods for pre-processing data before training.
    • Methods for creating trained models, tuning models and identifying which features within the models are important.

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How to install Jupyter Notebook on Mac using Homebrew

This tutorial explains how to install, run, and use Jupyter Notebooks on MAC.

What Is A Jupyter Notebook?

In this case, “notebook” or “notebook documents” denote documents that contain both code and rich text elements, such as figures, links, equations, … Because of the mix of code and text elements, these documents are the ideal place to bring together an analysis description, and its results, as well as, they can be executed perform the data analysis in real time.

The Jupyter Notebook App produces these documents.

For now, you should know that “Jupyter” is a loose acronym meaning Julia, Python, and R. These programming languages were the first target languages of the Jupyter application, but nowadays, the notebook technology also supports many other languages

The steps below shows how to install Jupyter:

Step 0 — Install Homebrew

The simplest way to install various Unix tools and open source projects onto Mac is via a package manager. Unfortunately, Mac doesn’t offer one by default so we’ll use Homebrew

xCode command line tools:

Install Mac OS X command line tools so that you can then install the Homebrew package manager.

Open up Terminal and type:

Double Check your work

If you see terminal respond back with a path to “CommandLineTools”, then you’re good to go.

Install Homebrew

Please paste this into Terminal.

Step 1 — Install pyenv

Mac Os X come with Pythong 2.7 pre-installed but many Machine Learning packages are progressing to Python 3.x. Therefore, it’s recommended you start using Python 3 and the best way to do that is to first install pyenv version manager. This will allow you to install any version of Python you’d like.

First update Homebrew package manager.

Install pyenv version manager.

Step 2 — Install Python

Install Python 3.x using pyenv . You can see a list of version from Python Website.

pyenv install -l | grep -ow [0-9].[0-9].[0-9]

Double check your work.

You’ll also need to configure your

Step 3 — Set Python to Local or Global

If you only want to use Python 3.x for a specific project, then cd to your specific directory and type:

If you’d prefer to just have Python 3.x installed globally throughout your operating system, then type:

Step 4 — Install Jupyter

Jupyter is an acronym for Julia, Python and R but these days, other languages are also included such as Ruby.

Step 5 — Start Jupyter

Now it’s time to start the jupyter notebook.

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How to Install Jupyter Notebook on MacOS?

In this article, we will learn how to install Jupyter Notebook in Python on MacOS.

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. Uses include data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

Installing Jupyter Notebook on MacOS:

Method 1: Using pip to install Jupyter Notebook Package

Follow the below steps to install the Jupyter Notebook package on macOS using pip:

Step 2: Check if pip3 and python3 are correctly installed.

Step 3: Upgrade your pip to avoid errors during installation.

Step 4: Enter the following command to install Jupyter Notebook using pip3.

Method 2: Using setup.py to install Jupyter Notebook

Follow the below steps to install the Jupyter Notebook package on macOS using the setup.py file:

Step 1: Download the latest source package of Jupyter Notebook for python3 from here.

Step 2: Extract the downloaded package using the following command.

Step 3: Go inside the folder and Enter the following command to install the package.

Note: You must have developer tools for XCode MacOS installed in your system

Verifying Jupyter Notebook installation on macOS:

Enter the following command in your terminal to start up Jupyter Notebook and verify if the installation has been done properly:

If there is any error while importing the module then is not installed properly.

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Setting up Python and Jupyter Notebook on Mac

This page provides the instructions for how to install and run IPython and Jupyter Notebook in a virtualenv on Mac.

Most probably your Mac has already come with Python installed (see step 1 and step 2 below to check whether Python and Python 3 is installed on your mac, because my Mac book air has both Python and Python3.6 installed, I will go ahead to step 3 to install virtualenv).

Open a terminal on your mac and type in Python and Python3 to see whether Python and Python3 installed on your mac. See below for example.

Follow the steps below for detailed instructions.

Step 1: Check whether Python is installed on your Mac

To test whether your Mac has Python 2.x or 3.x, look at the instructions below.

Open a terminal (in your launchpad, type in terminal, and then click and open it.)

Type in python, if you see similar thing as the pic shown below, it means python 2.7 was installed on your Mac

type exit() to exit from the Python 2.7 environment

Type python3 in your terminal, if you see similar warning as the pic shown below, it means you will need to install Python 3 (see the steps below for installation). If you see older version ( python3 in your terminal, if you see similar stuff in the pic below, Python 3.5 is installed successfully and you are ready to proceed to step 3.

Step 3: Install virtualenv

Note: the command text in blue is the exact command you should type into your terminal, the same through this whole instruction.

Step 4: Setup virtualenv environment

Issue the command below to set up a virtualenv environment that we will use later, using the vitualenvwe installed in step 3 above.

Step 5: Install IPython

Before installing IPython and Jupyter Notebook, be sure to activate your python virtual environment first.

Type the following command to install IPython

Step 6: Install Jupyter Notebook

Use the following command to install Jupyter Notebook

Step 7: Test jupypter notebook installation

Step 8: Add Kernel

The Jupyter Notebook and other frontends automatically ensure that the IPython kernel is available. However, if you want to use a kernel with a different version of Python, or in a virtualenv environment, you’ll need to install that manually.

We are using virutalenv, so we need to install IPython kernel in the virtualenv we created in Step 4 above.

Step 9: Before we are running our jupyter Notebook, let us create a folder from which we will start our jupyter notebook.

The following command will change our directory to Desktop (cd refers to change directory)

the following command will help us create a folder named Geog597_ML_session under our Desktop folder

the following command will change our directory into the folder we just created.

Step 10: Run Jupyter Notebook

Then your default browser should automatically open a web page similar to the one shown below.

If the web page does not show up automatically, just type localhost:8888 into your browser, you should see the page shown above.

Step 11: Testing and Using Jupyter Notebook

By this point you should have Jupyter Notebook running, and you should be connected to it using a web browser. Jupyter Notebook is very powerful and has many features. Below I will outline a few of the basic features to get you started using the notebook. Automatically, Jupyter Notebook will show all of the files and folders in the directory it is run from (for our case, it is empty now, because we have not put anything in that folder Desktop/ test_jupyter we just created in step 9 ).

To create a new notebook file, select New > ipy-jupyter-venv3 from the top right pull-down menu (Note: this is the so called kernel we installed in Step 8 above):

This will open a notebook. We can now run Python code in the cell or change the cell to markdown (markdown is for note, not for code). For example, change the first cell to accept Markdown by clicking Cell > Cell Type > Markdown from the top navigation bar, or by click the Markdown shown in the pic below. We can now write notes using Markdown, for example, type the following into the cell after changing it to markdown:

Hit Ctrl + Enter, you will see it the text changed into heading style.

Then insert one cell by the menu shown below (insert Cell Below).

type in the following

and then hit Ctrl + Enter. You should see the following.

Step 12: Stop jupyter Notebook.

To stop the Jupyter Notebook process, press CTRL+C ,

type Y , and hit ENTER to confirm. The following will be displayed:

Step 13: Exit virtualenv environment

Once you are done, remember to exit your virtualenv using the following command:

Note that your prompt changes back (see the pic below)

Step 14: Instructions for using Jupyter Notebook next time

Next time when you need to use you jupyther notebook, following the steps summarized below.

Change directory to where you would like to start your jupyter-notebook

Run jupyter notebook:

Congratulations, you have now set up ipython and jupyter notebook on your mac!

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