TensorFlow with Jupyter Notebook:

What is JupyterNotebook?

It’s a web based application which is having live python code,expressions,contexts,paragraphs and links. It’s very basic and essential tool for data visualization and data analysis.

By using Jupyter Notebook we can:

– Learn and try out Python

– Data processing / transformation

– Numeric simulation

– Statistical modeling

– Machine learning

Here, two ways to launch the Jupyter Notebook:

First one:

The Jupyter Notebook hosted version is accessed by your browser without installing.

Second one:

Install the Notebook will take you to another page which gives you detailed instruction for the installation.

Installation can be done in two types:

– Using pip:

Using Python’s package manager pip we can install the Jupyter Notebook.

– Using anaconda:

Installing the Anaconda distribution will facilitate the Jupyter Notebook inbuilt.

Anaconda distribution is a very good tool for the one who is beginner to python (Of Course to Experience too) and it’s very easy to set up your development environment from scratch.

Here we can go to Anaconda Download Page (link to https://www.anaconda.com/download/ ) which provides the direct download page for installation to various operating systems (Windows, MacOS, and Linux)

After installing anaconda distribution, now we can start the Jupyter notebook using the following command:

$ jupyter notebook

Once you can check the following response on the command line:

The server is started and the Jupyter notebook is opened automatically in your default browser. You can see here how it will open