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