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.

Project Jupyter is a suite of software products used in interactive computing. IPython was originally developed by Fernando Perez in 2001 as an enhanced Python interpreter.

Project Jupyter describes JupyterLab as a next generation web based user interfaces for all products under the Jupyter ecosystem. It enables you to work seamlessly with notebook, editors and terminals …

Visit https://jupyter.org/try and choose try JupyterLab option. The launcher tab shows currently available kernels and consoles. You can start a new notebook based/terminal based on any of them. The left …

About the Tutorial Project Jupyter is a comprehensive software suite for interactive computing, that includes various packages such as Jupyter Notebook, QtConsole, nbviewer, JupyterLab.

Jupyter notebook is a client-server application. The application starts the server on local machine and opens the notebook interface in web browser where it can be edited and run from.

Jupyter notebooks basically provides an interactive computational environment for developing Python based Data Science applications. They are formerly known as ipython notebooks.

Installing collected packages: webencodings, fastjsonschema, widgetsnbextension, websocket - client, webcolors, uri - template, tornado, tinycss2, soupsieve, setuptools, send2trash, rpds - py, rfc3986 - …

If you are new to Jupyter, you can try features of Jupyter notebook before installing on your local machine. For this purpose, visit https://jupyter.org in your browser and choose Try Jupyter with …

Matplotlib in Jupyter Notebook provides an interactive environment for creating visualizations right alongside our code. Let's go through the steps to start using Matplotlib in a Jupyter Notebook.