Project Jupyter
jupyter.org
Jupyter Notebook
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
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The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
About
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Install
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Community
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
nonprofit organization that developed and supported the interactive computing products Jupyter Notebook, JupyterHub, and JupyterLab
Factsheet
Abbreviation Jupyter
Formation July 2014; 11 years ago (2014-07)
Abbreviation Jupyter
Formation July 2014; 11 years ago (2014-07)
Reddit
reddit.com › r/learnpython › can someone explain jupyter notebook/lab to me?
r/learnpython on Reddit: Can someone explain Jupyter notebook/lab to me?
June 6, 2021 -
I keep seeing Jupyter notebooks, I have played around with it a little during some python lessons I was using to learn. What is it best used for and why does it need to be ran from a terminal instead of them making a standalone app like VS Code / Atom etc?
Is it worth running / using it instead of Atom / VSCode or another IDE?
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It’s a browser-based tool, so you need something to serve the page to the browser.. that’s why you start Jupyter at the command line, you’re starting the server. Jupyter Notebooks are very effective for cases where you want to show your code, the outputs of your code, and add some commentary about your code. It’s big in scientific computing so that your peers can see what’s running as well as the outputs and critique the methods your using.. as well as giving context and writing some good looking markdown to document what’s going on.
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Notebooks are super useful for data science and scientific computing. We have code cells where we can write our code were running. But you can also have markdown cells which function like a word document that also accepts LaTex commands. This allows us to combine coding and writing up reports or articles or descriptions on the results of the code all in one place. There's people that even write entire books in Jupyter notebook.
Why Jupyter notebook
My use cases for Jupyter are: executable documentation (show how an algorithm works piece-by-piece, with markdown sections in between code sections; also works for lab reports with post-processing) rapid prototyping (quickly iterate on pieces of an algorithm without having to re-execute the rest of the code - especially important if some of the steps are slow) tutorials (allows the student to work through code piece-by-piece while being able to see text, image, or plot results in between sections) It isn't the right tool for everything, but it does come in handy for some tasks. It's a partner to an IDE, not a replacement. More on reddit.com
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April 19, 2024Why use Jupiter notebook?
It’s a useful platform to run code incrementally, modify and re run. This makes a great tool when learning small code and small functions. A perfect example is playing with code to produce the matplotlib chart of data making changes until happy with the output. It also allows a simple way of sharing your code and output as a single shareable notebook file for the lecturer to review. I still use it as a work tool investigating data and producing bespoke charts. I can implement large scale analysis using Spyder when ready. More on reddit.com
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September 24, 2024Jupyter Notebook? or something else for Python?
Jupyter has nothing to do with the size of a dataset, and doesn't do any "handling". But 120MB is nothing. More on reddit.com
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March 14, 2025Aprende a usar Jupyter Notebooks, 100% en Español
muy bueno porque es cortito y directo. yo no sabia como se usaba pero lo entendí bien. es muy práctico.
solo puedo agregar que la temperatura media de júpiter es de -121 grados celcius y que las armaduras de bronce soportan 150 grados bajo cero, pero si hay temperatura mínima que es -163 grados, hay que usar armadura de plata o mejor una armadura dorada, justo ayer vi la pelea de Kamus contra Hyoga.
More on reddit.com 3
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February 10, 2023Videos
Jupyter Notebook Complete Beginner Guide - From Jupyter to ...
How To Use Jupyter NoteBook For Data Analysis (Beginner ...
10:34
Introduction to Jupyter Notebooks: explore the main functionalities ...
56:04
Introduction to Jupyter Lab for Python - YouTube
15:34
Jupyter Notebook Tutorial for Beginners with Python - YouTube
07:41
Installing Jupyter Notebook - YouTube
Wikipedia
en.wikipedia.org › wiki › Project_Jupyter
Project Jupyter - Wikipedia
January 20, 2026 - Jupyter Notebook (formerly IPython Notebook) is a web-based interactive computational environment for creating notebook documents. Jupyter Notebook is built using several open-source libraries, including IPython, ZeroMQ, Tornado, jQuery, Bootstrap, and MathJax.
Jupyter Notebook
jupyter-notebook.readthedocs.io › en › latest › index.html
Jupyter Notebook Documentation — Jupyter Notebook 7.6.0a4 documentation
Jupyter Notebook is a simplified notebook authoring application, and is a part of Project Jupyter, a large umbrella project centered around the goal of providing tools (and standards) for interactive computing with computational notebooks.
Jupyter
jupyter-notebook.readthedocs.io › en › stable › notebook.html
The Jupyter Notebook — Jupyter Notebook 7.5.5 documentation
Notebooks extend the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: developing, documenting, and executing code, as well as communicating the results. The Jupyter notebook combines two components:
GitHub
github.com › jupyter › notebook
GitHub - jupyter/notebook: Jupyter Interactive Notebook · GitHub
Jupyter notebook is a language-agnostic HTML notebook application for Project Jupyter. In 2015, Jupyter notebook was released as a part of The Big Split™ of the IPython codebase.
Starred by 13K users
Forked by 5.6K users
Languages Jupyter Notebook 73.7% | TypeScript 19.5% | Python 2.2% | JavaScript 2.1% | CSS 1.7% | HTML 0.8%
Jupyter Notebook
jupyter-notebook.readthedocs.io
Jupyter Notebook Documentation — Jupyter Notebook 7.5.5 documentation
Jupyter Notebook is a simplified notebook authoring application, and is a part of Project Jupyter, a large umbrella project centered around the goal of providing tools (and standards) for interactive computing with computational notebooks.
Dataquest
dataquest.io › blog › jupyter-notebook-tutorial
How to Use Jupyter Notebook: A Beginner’s Tutorial – Dataquest
October 23, 2025 - At its core, a notebook is a document that blends code and its output seamlessly. It allows you to run code, display the results, and add explanations, formulas, and charts all in one place.
Research All of Us
support.researchallofus.org › hc › en-us › articles › 360039690191-Jupyter-Notebooks-and-programming
Jupyter Notebooks and programming – User Support
October 1, 2025 - Below you will find links to some of the most helpful resources that we have created and/or found on using Jupyter Notebooks. While we can’t teach you how to program, we have identified some online...
W3Schools
w3schools.com › python
Python Tutorial
W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more.
Jupyter
jupyter.org › install
Project Jupyter | Installing Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Visual Studio Code
code.visualstudio.com › docs › datascience › notebooks-web
Jupyter Notebooks on the web
November 3, 2021 - Using these browser-based platforms enables you to work on your notebooks (and beyond!) without having to install anything on your machine. You can read more about each of options and how to get started below: ... Developing Jupyter notebooks in VS Code can be done entirely through a web-based interface using GitHub Codespaces, a cloud-hosted development environment that is secure and configurable with free compute resources (more on Codespaces monthly usage quotas).
Visual Studio Marketplace
marketplace.visualstudio.com › items
Jupyter - Visual Studio Marketplace
January 6, 2026 - Extension for Visual Studio Code - Jupyter notebook support, interactive programming and computing that supports Intellisense, debugging and more.
MLJAR
mljar.com › blog › jupyter-notebook-online
The 7 ways to run Jupyter Notebook online
Setting up a local environment to run Jupyter Notebook can be cumbersome. You need to install Python and tons of packages to make it works. The convenient alternative can be running notebooks in the cloud. There are many services that allow you to create, edit and run Python notebooks with premade data science environment.
Windsurf
windsurf.com › changelog
Windsurf Editor Changelog | Windsurf
January 30, 2026 - Fixes for Jupyter Notebook tool.
GeeksforGeeks
geeksforgeeks.org › python › getting-started-with-jupyter-notebook-python
Getting started with Jupyter Notebook - Python - GeeksforGeeks
Here are main cell types in Jupyter: Code Cells: Execute code in Python, Julia, R, etc. Output appears below the cell · Markdown Cells: Format text using Markdown. Supports headings, lists, links, tables · Raw Cells: Unprocessed content, usually for LaTeX or plain text. Heading Cells: Section headings and subheadings (Markdown-based). Raw NBConvert Cells: Raw content intended for notebook export.
Published January 12, 2026
Reddit
reddit.com › r/python › why jupyter notebook
r/Python on Reddit: Why Jupyter notebook
April 19, 2024 -
I did a search and read previous discussions in this sub about why Jupyter labs exists. From what I understand it is for quick code to try things out especially in data science …. Thing is, can’t you get the same thing via a decent IDE with autocomplete and quality debug tools in some quick Python code like in VSCODE? I do that all the time….
I develop RNA computational software in Python and I abandoned Jupyter labs very early on as it just was not well suited to the job of bespoke data science. So many limitations and don’t get me started with widgets… I’ve been developing code for decades and I have spent 3 days trying to understand widgets and I think I finally understand how to modify a text box and get a value from it…. You have to observe (why?), then act on, then route through some output and then you can get the info? It’s like someone was drunk while trying to emulate visual C#.
Edit: before anyone else tells me to read vscode docs like I’m an idiot… I am unable to remote into the repo I’m using now for reasons. Not everyone can remote in and the question is not about remoting in. It’s still garbage in VSCODE… just use regular python.
Edit2: for everyone who says they use it to do chunks of code work… I developed my own data management system for that kind of stuff that provides a wrapper over serialization that essentially creates pythonic pointers to data on any network drive. I just grab my data that I want to grab. Provides autocomplete and C# like attributes. I can dynamically build any data storage class using UML formatted infrastructure-as-code to build the front end. The back end is completely dynamic. Here is the pypi link. Note that I developed this to handle genomic data that was generated over the course of a week of 24/7 computation.
https://pypi.org/project/data-nut-squirrel/
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My use cases for Jupyter are: executable documentation (show how an algorithm works piece-by-piece, with markdown sections in between code sections; also works for lab reports with post-processing) rapid prototyping (quickly iterate on pieces of an algorithm without having to re-execute the rest of the code - especially important if some of the steps are slow) tutorials (allows the student to work through code piece-by-piece while being able to see text, image, or plot results in between sections) It isn't the right tool for everything, but it does come in handy for some tasks. It's a partner to an IDE, not a replacement.
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Sounds like you have a cool job. Yeah I don’t think Jupyter is the best choice for building software. Nobody would argue that. But it’s quite nice for EDA and creating reports/presentations. You can save your notebook as an html file, pdf, md, etc. Why Jupyter? It’s like asking why would anyone have a desktop when you can carry a laptop. Different tools are for different things. Use whatever IDE you like, nobody is forcing you. Sounds like you had a rough time trying to get some things going in Jupyter. And if you dislike it this much, I pray that you never have to touch a databricks notebook hahahaha
Quarto
quarto.org
Quarto
Combine Jupyter notebooks with flexible options to produce production quality output in a wide variety of formats.
Visual Studio Code
code.visualstudio.com › docs › datascience › jupyter-notebooks
Jupyter Notebooks in VS Code
November 3, 2021 - Jupyter (formerly IPython Notebook) is an open-source project that lets you easily combine Markdown text and executable Python source code on one canvas called a notebook. Visual Studio Code supports working with Jupyter Notebooks natively (through ...