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What is Jupyter Notebook?

Jupyter Notebook is a versatile, web-based open-source application that allows individuals to generate and share documents that include live code, visualizations, mathematical equations, and textual descriptions. Its wide-ranging applications include data cleaning, statistical modeling, numerical simulations, data visualization, and machine learning, highlighting its adaptability across different domains. Furthermore, it acts as a superb medium for collaboration and the exchange of ideas among professionals within the data science community, fostering innovation and collective learning. This collaborative aspect enhances its value, making it an essential tool for both beginners and experts alike.

What is JetBrains DataSpell?

Effortlessly toggle between command and editor modes with a single keystroke while using arrow keys to navigate through cells. Utilize the full range of standard Jupyter shortcuts to create a more seamless workflow. Enjoy the benefit of interactive outputs displayed immediately below the cell, improving visibility and comprehension. While working on code cells, take advantage of smart code suggestions, real-time error detection, quick-fix features, and efficient navigation, among other helpful tools. You can work with local Jupyter notebooks or easily connect to remote Jupyter, JupyterHub, or JupyterLab servers straight from the IDE. Execute Python scripts or any expressions interactively in a Python Console, allowing you to see outputs and variable states as they change. Divide your Python scripts into code cells using the #%% separator, which enables you to run them sequentially like in a traditional Jupyter notebook. Furthermore, delve into DataFrames and visual displays in real time with interactive controls, while benefiting from extensive support for a variety of popular Python scientific libraries, such as Plotly, Bokeh, Altair, and ipywidgets, among others, ensuring a thorough data analysis process. This robust integration not only streamlines your workflow but also significantly boosts your coding productivity. As you navigate this environment, you'll find that the combination of features enhances your overall coding experience.

Media

Media

Integrations Supported

Devin Desktop
Docker
JupyterHub
JupyterLab
Akira AI
AnzoGraph DB
Azure Marketplace
Clore.ai
EdgeCortix
Evidation Health
IBM Watson Studio
Modern DataOS
NodeShift
OAuth
SensorCloud
Unfolded

Integrations Supported

Devin Desktop
Docker
JupyterHub
JupyterLab
Cody
EasyCode
Lingma
R

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

$229

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Project Jupyter

Date Founded

2014

Company Website

jupyter.org

Company Facts

Organization Name

JetBrains

Date Founded

2000

Company Location

Czech Republic

Company Website

www.jetbrains.com/dataspell/

Categories and Features

Data Science

Not specified

Categories and Features

AI IDEs

Not specified

Data Science

Not specified

IDE

Not specified

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