English | 简体中文 | 繁體中文 | Русский язык | Français | Español | Português | Deutsch | 日本語 | 한국어 | Italiano | بالعربية
Jupyter is a loose abbreviation meaning Julia, Python, and R. These programming languages are the first target languages of the Jupyter application, but now, Jupyter technology also supports many other languages.
2001That year, Fernando Pérez began to develop IPython. IPython is a command shell for interactive computing in multiple programming languages, originally developed for Python.
Consider the following features provided by IPython: -
Interactive shell (terminal and based on Qt). Browser-based notebooks that support code, text, mathematical expressions, inline graphs, and other media. Support for the use of interactive data visualization and GUI toolkits. Flexible, embeddable interpreter that can be loaded into your own project.
2014That year, Fernando Pérez announced a derivative project of IPython named Project Jupyter. IPython will continue to exist as a Python shell and the kernel of Jupyter, while IPython's notebooks and other language-agnostic parts will be moved under the Jupyter name. Jupyter adds support for Julia, R, Haskell, and Ruby.
To start the Jupyter notebook, please open the Anaconda Navigator (a desktop graphical user interface included in Anaconda, which starts applications and easily manages Conda packages, environments, and channels without using command line commands).
The Anaconda navigator displays the installed components in the distribution. As shown in the following figure:
Start Jupyter Notebook from the navigator -
You can also execute the following command in the command line:
# Filename : example.py # Copyright : 2020 By w3codebox # Author by : www.oldtoolbag.com # Date : 2020-08-08 C:\Users\hema>jupyter notebook
Then open the URL in the web browser - http://localhost:8889/ , the result is the same as above.
You may want to start by creating a new notebook. You can do this by clicking on the 'New' option in the 'Files' tab. You will see options to create a regular text file, folder, and terminal. Finally, you will also see options to create Python 3Options for the notebook.