Download Jupyter Notebook Mac

Let’s first understand what are Anaconda and Jupyter Notebook.

What is Anaconda

Install Jupyter Notebook On Mac

Download nbviewer-app.zip. Unzip and move Jupyter Notebook Viewer.app to /Applications and enjoy 👍 Alternatively: install via Homebrew Cask: $ brew cask install jupyter-notebook-viewer Quick Look should work out of the box. If it doesn't, check qlmanage -m plugins grep ipynb to see whether the plugin appears there. Jupyter Notebooks 1.0 for Mac is free to download from our software library. This Mac download was scanned by our antivirus and was rated as virus free. The application lies within Developer Tools, more precisely DB Tools. The actual developer of this free Mac application is Project Jupyter. A Jupyter notebook is in essence a laboratory for programming. It is the ideal. Download and run the 64-bit installer and stick to the default. Enables sharing the selected Jupyter notebook using Datalore, an intelligent web application for data analysis. Click this button to start sharing the current notebook file. Once you modify the notebook file, this button enables updating the shared notebook in Datalore. The Jupyter Server widget that shows the currently used Jupyter server. Download and install either MacTex for Mac or MikTex for Windows. Choose File/Download as LaTeX (.tex) from the Jupyter Notebook Menu. Open the downloaded zip archive, then open the.tex file with the LaTex Typesetter (TeXShop on Mac, TeXWorks on Windows) and press the “Typeset” button, or choose typeset from the menu.

Anaconda is a distribution software which is used to install Python. A distribution software is a bundle of many packages. In Anaconda distribution, Python and many packages come pre-loaded.

Anaconda has the following key components:

  1. Conda – package manager(a program to update and install various packages)
  2. Python language
  3. Various packages (Eg. pandas, numpy)
  4. Integrated Development Environment(IDE) – To write and execute the code(e.g. Jupyter, Spyder)

What is Jupyter Notebook

Jupyter notebook is the most used Python IDE by Data Scientists to code in Python. This is a browser-based IDE, that means you don’t need to open it in some application. Once you start a jupyter server(it’s a program which we will explain later), a notebook will open in your internet browser. So, all we need to do is install Anaconda and then start the jupyter server. Jupyter notebook looks like this in the browser:

Linux & Mac come with Python already installed nowadays. To know if Python is already installed in your system, go to command line/Terminal and type python and hit enter. If you see some version of Python, it means python is already installed in your system. However, we strongly recommend that you install Anaconda and use its Python for this course.

Anaconda installation for different Operating Systems

Windows
  1. First of all, download Anaconda from the official page and install the latest version(Python 3.* )here
  2. Now, install anaconda following the steps mentioned: Here
  3. After successful installation, open command line(command prompt) by typing cmd in Search/Run in your windows.
  4. Type ‘Jupyter Notebook’ in the command line which will open Jupyter Notebook in your browser with URL ‘http://localhost:8888’. 8888 is port number. If you want to start the server on some other port, then type ‘jupyter notebook –port 9999

We will illustrate the windows installation process using the screenshots below.

Mac
  1. First of all, download Anaconda from the official page and install the latest version(Python 3.* )here
  2. Now, install anaconda following the steps mentioned: Here
  3. After successful installation, open command line(Terminal)
  4. Type ‘Jupyter Notebook’ in the command line which will open Jupyter Notebook in your browser with URL ‘http://localhost:8888’. 8888 is port number. If you want to start the server on some other port, then type ‘jupyter notebook –port 9999
Linux
  1. First of all, download Anaconda from the official page and install the latest version(Python 3.* )here
  2. Now, install anaconda following the steps mentioned: Here
  3. After successful installation, open command line(Terminal)
  4. Type ‘Jupyter Notebook’ in the command line which will open Jupyter Notebook in your browser with URL ‘http://localhost:8888’. 8888 is port number. If you want to start the server on some other port, then type ‘jupyter notebook –port 9999

Anaconda installation process on Windows

Step 1

Open your web browser and go to https://www.anaconda.com/download. Click on the Windows icon.

Step 2

Next page will show you two Python options, as below. There are two Python version – Python 2 & Python 3. There is no much difference in terms of efficiency or the tasks you can get done using any of them. But, for this course, we will be using Python 3. At the time of creating this chapter, Python 3.6 is the latest version.

Now, choose the 32 or 64-bit option as below. Most of the computers are 64-bit these days. You can check your System type by right clicking on This PC or My Computer.

Step 3

Anaconda will start downloading on your computer. As it’s a big file, it will take some time to download depending upon your internet speed.

Step 4

Now, double click on the downloaded Anaconda file and Click on Next on the popped up window.

Step 5

Click on I Agree

Step 6

Let just me (Recommended) option remain selected and click on Next.

Step 7

Now, it will ask for the location to install the Anaconda. Let the default location be there and click on Next.

Step 8

Select Register Anaconda as my default Python 3.6 and click on Install

Step 9

Download Jupyter Notebook Mac Os

The installation will start.

Step 10

This will take some time to complete

Step 11

Next button will be enabled once it’s complete. Click on Next button.

Step 12

This window is asking if you want to install Microsoft Visual Studio Code editor to write code. We will not be using this for writing code. Click on Skip button.

Step 13

Uncheck both checked options and click on Finish button, and your Anaconda installation is complete.

Step 14

Now, let’s access Anaconda Prompt. Go to Search/Run and type Anaconda Prompt and hit enter.

Step 15

A black window like below will open. This is Anaconda Prompt.

Step 16

We will now start jupyter notebook from anaconda prompt. Just type jupyter notebook and hit enter.

Step 17

Jupyter notebook will open in your web browser automatically.

CONGRATULATIONS 🙂 You are doing great. We are excited. Let’s come to coding straight without wasting any more time.

Upgrade to Python 3.x

Download and install Python 3.x. For this tutorial I have used 3.5.

Once you downloaded and run the installation app, Python 3 will be installed under:

The installer also adds the path for the above to your default path in .bash_profile so that when you type:

on the command line, the system can find it. You'll know you've been successful if you see the Python interpreter launch.

Install pip

Fire up your Terminal and type: Jeppesen download manager mac.

Install PySpark on Mac

  1. Go to the Spark downloads page and choose a Spark release. For this tutorial I chose spark-2.0.1-bin-hadoop2.7.
  2. Choose a package type. For this tutorial I have choses Pre-built for Hadoop 2.7 and later.
  3. Choose a download type: (Direct Download)
  4. Download Spark: spark-2.0.1-bin-hadoop2.7.tgz
  5. Unzip the folder in your home directory using the following command. tar -zxvf spark-2.0.1-bin-hadoop2.7.tgz. I prefer create an opt directory in my home directory and then unzip it under ~/opt/.

Next, we will edit our .bash_profile so we can open a spark notebook in any directory. So fire up your Terminal and type in:

my .bash_profile looks as follows:

The relevant stuff is:

The PYSPARK_DRIVER_PYTHON parameter and the PYSPARK_DRIVER_PYTHON_OPTS parameter are used to launch the PySpark shell in Jupyter Notebook. The --master parameter is used for setting the master node address. Here we launch Spark locally on 2 cores for local testing.

Install Jupyter Notebook with pip

First, ensure that you have the latest pip; older versions may have trouble with some dependencies:

Then install the Jupyter Notebook using:

Mac

Thats it!

You can now run:

in the command line. A browser window should open with Jupyter Notebook running under http://localhost:8888/

Configure Jupyter Notebook to show line numbers

Run

to get the Jupyter config directory. Mine is located under /Users/lucas/.jupyter.Run:

Run:

to create a custom directory (if does not already exist).Run:

Run:

and add:

Download Jupyter Notebook Mac

You could add any javascript. It will be executed by the ipython notebook at load time.

Install a Java 9 Kernel

Install Java 9. Java home is then:

Install kulla.jar. I have installed it under ~/opt/.

Download the kernel. Again, I placed the entire javakernel directory under ~/opt/.

This kernel expects two environment variables defined, which can be set in the kernel.json (described below):

So go ahead and edit kernel.json in the kernel you have just download to look as follows:

Run:

Install Jupyter On Mac

Run:

Run:

to copy the edited kernel.json into the newly created java directory.

Install gnureadline by running:

Jupyter Notebook App Download

in the commoand line.

Ipynb Mac

If all worked you should be able to run the kernel:

Jupyter Notebook Mac Os

and see the following output: