Jupyter Tutorial

Jupyter Tutorial

Project Jupyter is a comprehensive software suite for interactive computing, that includes various packages such as Jupyter Notebook, QtConsole, nbviewer, JupyterLab. This tutorial gives you an exhaustive knowledge on Project Jupyter. By the end of this tutorial, you will be able to apply its concepts into your software coding.

Jupyter notebook is a defacto standard interactive environment for data scientists today. This tutorial is useful for everyone who wants to learn and practice data science libraries of Python/R etc.

This is not a tutorial to teach Python programming. It describes use of powerful interactive environment to use Python. We assume you have a good understanding of the Python programming language. If you are beginner to Python and other related concepts, we suggest you to pick tutorials based on these, before you start your journey with Jupyter.

 

*** Table of Contents: 

IPython - Introduction

IPython - Installation

IPython - Getting Started

IPython - Running and Editing Python Script

IPython - History Command

IPython - System Commands

IPython - Command Line Options

IPython - Dynamic Object Introspection

IPython - IO Caching

Setting IPython as Default Python Environment

IPython - Importing Python Shell Code

Embedding IPython

IPython - Magic Commands

Project Jupyter - Overview

Jupyter Notebook - Introduction

Working with Jupyter Online

Installation and Getting Started

Jupyter Notebook - Dashboard

Jupyter Notebook - User Interface

Jupyter Notebook - Types of Cells

Jupyter Notebook - Editing

Jupyter Notebook - Markdown Cells

Jupyter Notebook - Cell Magic Functions

Jupyter Notebook - Plotting

Jupyter - Converting Notebooks

Jupyter Notebook - IPyWidgets

Jupyter QtConsole - Getting Started

Jupyter QtConsole - Multiline Editing

Jupyter QtConsole - Inline Graphics

Jupyter QtConsole - Save to HTML

Jupyter QtConsole - Multiple Consoles

Connecting to Jupyter Notebook

Using github and nbviewer

JupyterLab - Overview

JupyterLab - Installation and Getting Started

JupyterLab - Interface

JupyterLab - Installing R Kernel