Jupyter Notebook – Data Science Notebook

The Jupyter Notebook is an open-source server-client web application that allows you to create and share documents containing live code, equations, visualizations and explanatory text.

Jupyter notebooks are a series of “cells” containing executable code, or markdown, the popular HTML markup language for prose descriptions. They have LaTeX support for mathematical equations with MathJax.

The notebook’s two main components are its kernels and a dashboard. A kernel runs and introspects the user’s code. The Jupyter Notebook App has a kernel for Python code, but there are also kernels available for many other programming languages.

Jupyter Notebook installs the IPython kernel. This allows working on notebooks using the Python programming language.

Uses include data cleaning and transformation, numerical simulation, statistical modeling, machine learning and a lot more.

Features include:

  • Highly customizable.
  • Support for over 40 programming languages, including those popular in Data Science such as Python, R, Julia, and Scala.
  • In-browser editing for code, using the Markdown markup language, with automatic syntax highlighting, indentation, and tab completion/introspection.
  • Execute code from the browser, with the results of computations attached to the code which generated them.
  • Display the result of computation using rich media representations, such as HTML, LaTeX, PNG, SVG, etc. For example, render publication-quality figures inline with the matplotlib library.
  • Author narrative text using the Markdown markup language.
  • The ability to easily include mathematical notation within markdown cells using LaTeX, and rendered natively by MathJax.
  • Notebooks can be committed to version control repositories such as git and the code sharing site GitHub.
  • Export notebooks to HTML, reStructuredText, LaTeX, PDF, and slide shows.

Jupyter runs code in many programming languages, Python is a requirement (Python 3.3 or greater, or Python 2.7). Installing Acaconda is the recommended installation method.

Website: jupyter.org
Support: Documentation, Blog
Developer: Many
License: Modified BSD license

Jupyter Notebook

Return to Data Science Notebooks Home Page


Popular series
Guide to LinuxNew to Linux? Read our Linux for Starters series. We start right at the basics and teach you everything you need to know to get started with Linux.
Free and Open Source SoftwareThe largest compilation of the best free and open source software in the universe. Each article is supplied with a legendary ratings chart helping you to make informed decisions.
ReviewsHundreds of in-depth reviews offering our unbiased and expert opinion on software. We offer helpful and impartial information.
Alternatives to Proprietary SoftwareReplace proprietary software with open source alternatives: Google, Microsoft, Apple, Adobe, IBM, Autodesk, Oracle, Atlassian, Corel, Cisco, Intuit, and SAS.
Linux Around The WorldLinux Around The World showcases events and usergroups that are Linux-related. This is a new series.
DockerGetting Started with Docker helps you master Docker, a set of platform as a service products that delivers software in packages called containers.
System ToolsEssential Linux system tools focuses on small, indispensable utilities, useful for system administrators as well as regular users.
ProductivityLinux utilities to maximise your productivity. Small, indispensable tools, useful for anyone running a Linux machine.
Home ComputersHome computers became commonplace in the 1980s. Emulate home computers including the Commodore 64, Amiga, Atari ST, ZX81, Amstrad CPC, and ZX Spectrum.
Now and ThenNow and Then examines how promising open source software fared over the years. It can be a bumpy ride.
Linux at HomeLinux at Home looks at a range of home activities where Linux can play its part, making the most of our time at home, keeping active and engaged.
Linux CandyLinux Candy reveals the lighter side of Linux. Have some fun and escape from the daily drudgery.
Android AppsBest Free Android Apps. We showcase free Android apps that are definitely worth downloading. There's a strict eligibility criteria for inclusion in this series.
Programming BooksThese best free books accelerate your learning of every programming language. Learn a new language today!
Programming TutorialsThese free tutorials offer the perfect tonic to our free programming books series.
Stars and StripesStars and Stripes is an occasional series looking at the impact of Linux in the USA.
Share this article

Share your Thoughts

This site uses Akismet to reduce spam. Learn how your comment data is processed.