1. Download Anaconda
2. Jupyter Notebook Download 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).

Jupyter Notebook also allows you to download your work as a PDF, HTML, iPython Notebook (.ipynb), a python script (.py), markdown (.md) and a few other file formats, making sharing easy.

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.

Locate Anaconda. The first step you need to do is to locate the path of Anaconda. You will create a. First, navigate to the Anaconda downloads page, select your platform (Windows, Mac, Linux), and download the installer including Python 3.6+. Install the version of Anaconda you downloaded by following the instructions in the installation executable. Install Jupyter with PIP The CircuitPython Jupyter Kernel requires a Python 3.6+ installation.

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

typeexit()to exit from the Python 2.7 environment

Typepython3in 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 (< 3.5) of python 3 installed on your mac, follow step 2 to install Python 3.5

Step 2: Install Python 3.5

I recommend you download Python 3.5.4 from here, if you do not have Python 3.x pre-installed on your mac.

Click the installer and install it following the wizard.

When you finish the installation, typepython3in 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 Serato dj pro 32 bit download mac.

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 thevitualenvwe 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 installIPythonkernel 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 (cdrefers 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_jupyterwe 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:

HitCtrl + 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 hitCtrl + Enter. You should see the following.

Step 12: Stop jupyter Notebook.

To stop the Jupyter Notebook process, pressCTRL+C,

typeY, and hitENTERto 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 upipythonandjupyter notebook on your mac!

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.

Jupyter has support for over 40 different programming languages and Python is one of them. Python is a requirement (Python 3.3 or greater, or Python 2.7) for installing the Jupyter Notebook itself.

Jupyter Notebook can be installed by using either of the two ways described below:

• Using Anaconda:
  Install Python and Jupyter using the Anaconda Distribution, which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science. To install Anaconda, go through How to install Anaconda on windows? and follow the instructions provided.

• Using PIP:
  Install Jupyter using the PIP package manager used to install and manage software packages/libraries written in Python. To install pip, go through How to install PIP on Windows? and follow the instructions provided.

Installing Jupyter Notebook using Anaconda:

Download Anaconda

Anaconda is an open-source software that contains Jupyter, spyder, etc that are used for large data processing, data analytics, heavy scientific computing. Anaconda works for R and python programming language. Spyder(sub-application of Anaconda) is used for python. Opencv for python will work in spyder. Package versions are managed by the package management system called conda.

To install Jupyter using Anaconda, just go through the following instructions:

Jupyter Notebook Download Mac

• Launch Anaconda Navigator:
  
• Click on the Install Jupyter Notebook Button:
  
• Beginning the Installation:
  
• Loading Packages:
  
• Finished Installation:
  

Launching Jupyter:

Installing Jupyter Notebook using pip:

PIP is a package management system used to install and manage software packages/libraries written in Python. These files are stored in a large “on-line repository” termed as Python Package Index (PyPI).
pip uses PyPI as the default source for packages and their dependencies.

To install Jupyter using pip, we need to first check if pip is updated in our system. Use the following command to update pip:

After updating the pip version, follow the instructions provided below to install Jupyter:

• Command to install Jupyter:
• Beginning Installation:
  
• Downloading Files and Data:
  
• Installing Packages:
  
• Finished Installation:
  

Launching Jupyter:
Use the following command to launch Jupyter using command-line:

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