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
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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/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
(1-24 of 24)- Popular Filters
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April 29, 2022
Jupyter feels like you are on moon
- Increased Productivity
- Learn new things
- AI
December 16, 2021
Jupyter Notebook: A boon to present codes
- Jupyter is free and always has more than 100 percent returns
- Akways a positive impact
- Highly efficient
November 29, 2021
Feedback - Jupyter Notebook
- Open source.
- Makes coding easier.
October 24, 2021
A Notebook for All
- Very high return of investment
October 08, 2021
Jupyter "THE ATTRACTIVE" Notebook
- Open Source.
- Attractive and easy for coding.
- Data visualization and sharing live code is one of the best feature.
- Easy to learn for new developers.
October 07, 2021
Data science made easier through Jupyter
- easy user interface
- cost friendly
- data analysis- it's very apt to deploy data analysis and visualisation.
September 27, 2021
Jupyter Pros and Cons
- Positive understanding of where to invest next
- Greater exposure to current business trends and forecasts
- Pinpoint market leaders/laggers
- Positive impact: flexible implementation on any OS, for many common software languages
- Positive impact: straightforward duplication for adaptation of workflows for other projects
- Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration
- Flexible pricing options made it an east to adapt tool.
- Comes in very handy for our product team to make predictions.
- Support for different data from multiple sources made it an go to tool.
June 01, 2021
Python programming made easy with Jupyter!
- Jupyter Notebook helped me write an efficient code which helped us understand and forecast our sales number.
- Jupyter Notebook is extremely cost effective for a small-medium organization.
- The ability to use different formats of data sources helped us save a lot of cost spent after data source conversion software.
- Increased efficiency
- Increased throughput of development team
- Better product development
May 24, 2021
Review of the Jupyter Notebook
- The markdown is best in the best in that.
- As a company [if you] are using Python language, then it is best for you.
- You can also make data visualization.
- It is also cost effective.
May 13, 2021
Jupyter makes life easier.
- It has a positive impact overall but in scenarios Dash and Plotly code does not work properly.
- There needs to be some improvement in running Dash and Plotly code in Jupyter.
- Allowed for rapid exploration of initial phase analysis.
- Sped up process of realizing and deploying data models.
- Great communication tool both internally and externally.
May 02, 2021
Jupyter Notebook for quick in-depth analysis
- Saves a lot of time
- Quick development and deployment
- Easy to learn by developers
May 02, 2021
Great product for data modeling
- Improve business results with data modeling
- Great data visualization
- Allows user easy access to coding.
- Centralized support on server.
- Allows interactive and literate coding.
May 01, 2021
Best to get started for data scientists
- open source and free to get a feel for it
- helps in informed decision making
- most incoming employees already familiar
May 01, 2021
All in one workspace for Data Sciences
- All in one solution for planning to development.
- Positive impact if using local notebook servers.
- Presenting notebooks to clients with markdowns for better understanding helps positively.
April 30, 2021
Jupyter Notebook for the win!
- No negative impact, only positive testing and results
- It is open-source so completely free to use with regular updates
- Helps to draw analysis, visualizations to make better decisions
- Helped in making good business banking decisions
February 24, 2021
Jupyter Notebook, the perfect place to start
- Jupyter Notebook is very cost-effective
- Since it is commonly used in school, most employees already are familiar
January 26, 2021
Light user of Jupyter Notebook
- I think it's positive as it helps to deliver machine learning models.
- It's free.
- It's well integrated with AWS tools.
October 22, 2020
Jupyter or nothing
- Saves Time
- Easy to develop
- Very easy to setup and adapt