Jupyter feels like you are on moon
Mostly I use Jupyter Notebook to test some python code that I work on.
Jupyter Notebook
Top Rated
Jupyter Notebook
Overview
Recent Reviews
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Top Rated
2022
Popular Features
View all 16 featuresVisualization (23)
9.3
93%
Interactive Data Analysis (23)
9.1
91%
Data Transformations (23)
8.7
87%
Connect to Multiple Data Sources (23)
8.5
85%
Reviewer Pros & Cons
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Pricing
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What is Jupyter Notebook?
Jupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning.…
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- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
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Features Scorecard
Platform Connectivity
8.3
83%
Data Exploration
9.2
92%
Data Preparation
8.6
86%
Platform Data Modeling
8.7
87%
Model Deployment
8.6
86%
Product Details
What is Jupyter Notebook?
Jupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for Jupyter notebooks, code, and data, with a configurable user interface that supports a wide range of workflows in data science, scientific computing, and machine learning.
Jupyter Notebook Video
How to install and use Jupyter Notebooks, a step by step tutorial. Learn to when to use Jupyter Notebooks, and how to write and run code and markdown.
Jupyter Notebook Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Comparisons
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Frequently Asked Questions
What is Jupyter Notebook?
Jupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for Jupyter notebooks, code, and data, with a configurable user interface that supports a wide range of workflows in data science, scientific computing, and machine learning.
What is Jupyter Notebook's best feature?
Reviewers rate Visualization highest, with a score of 9.3.
Who uses Jupyter Notebook?
The most common users of Jupyter Notebook are from Enterprises (1,001+ employees) and the Information Technology & Services industry.
Reviews and Ratings
(102)
Reviews
(1-20 of 20)- Popular Filters
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April 29, 2022
Jupyter feels like you are on moon
- It is scalable
- Saves time
- Easy to manage
December 16, 2021
Jupyter Notebook: A boon to present codes
- Scalability
- Effectiveness
- Availablity
- Less Space consumption
November 29, 2021
Feedback - Jupyter Notebook
- Code sharing feature.
- Markdown.
- Code segments.
October 24, 2021
A Notebook for All
- Live interaction
- Easily accessible
October 08, 2021
Jupyter "THE ATTRACTIVE" Notebook
- Auto Code(syntax) Suggestion.
- Sharing slide and live code directly on github.
- It gives best use of mathematical notations.
- Programming Environment.
October 07, 2021
Data science made easier through Jupyter
- economical- it's an open source with no cost.
- familiarity- almost everyone from the data science field, so organisation don't have to worry about additional training
- code visualisation- with markdowns and code combination it's suitable to present the code directly.
September 27, 2021
Jupyter Pros and Cons
- Data Visualization
- Machine Learning
- Statistical Modeling
- Lightweight installation
- Flexibility with different software languages
- Straightforward duplication for adaptation
- Data visualization capabilities.
- Easy to understand interface.
- Supports Multiple Python libraries.
June 01, 2021
Python programming made easy with Jupyter!
- Easy download and sharing Python programming files easily across teams.
- The libraries it hold helps a lot while building programs.
- The ability to visualize certain results and see the output right away rather than using some other visualization tool.
- Simplicity
- Clean and aesthetic
- Efficiency
May 24, 2021
Review of the Jupyter Notebook
- Easy to use and open source platform.
- Data visualization and format.
- Easy navigation platform for the new user.
May 13, 2021
Jupyter makes life easier.
- Learners are easily able to use it.
- It is a free of cost platform for learners which helps users to perform python coding and learn better.
- Its visualisation (matplotlib and seaborn) and related libraries are very effective.
- Browser editing of code.
- Easy to use and start up.
- Interactive programming.
May 02, 2021
Jupyter Notebook for quick in-depth analysis
- Data visualization
- Plotting and graphical charts
- Lightweight
May 02, 2021
Great product for data modeling
- Data Analysis
- Data Modeling
- Visual Analysis
- Open source
- Large supporting ecosystem
- User access through web browser
- Leading industry tool
May 01, 2021
Best to get started for data scientists
- Data exploration
- Machine learning integration
- Data Analytics
May 01, 2021
All in one workspace for Data Sciences
- Intellisense (Code Completion).
- Terminal Access through cell interface.
- Support for virtual environments.
April 30, 2021
Jupyter Notebook for the win!
- Easy
- Fast and reliable
- Plots and allows convenient changes and improvements