Jupyter Notebook User Review
Rating: 10 out of 10
December 31, 2024
Vetted Review
Verified User
3 years of experience
- Language
- Interface
- Scalability
Cons
- Modification in interface
Overview
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…
Learn from top reviewers
Jupyter Notebook User Review
Rating: 10 out of 10
December 31, 2024We usually write python code in it as its interface is simple and easy to use. To reduce time and to automate daily task we started using python and to write code we searched ...
Verified user
Analyst
3 years of experienceFeedback - Jupyter Notebook
Rating: 10 out of 10
November 29, 2021I do all my python projects with it every day and the amount of convenience it provides is unmatchable. It's interface is very easy and self expressive which is why I recommen...
Shailesh Pandey
Technician - Other
Laboratory Technician
Regency Healthcare - Kanpur
1 year of experienceJupyter Pros and Cons
Rating: 10 out of 10
September 27, 2021Jupyter notebooks are widely used by our Science and Analytics departments to analyze data, make forecasts, clean/wrangle data, graph visualizations, create machine learning m...
Flexible, lightweight, and visually intuitive organization of your workflows
Rating: 10 out of 10
July 20, 2021I use Jupiter Notebook to organize my workflows into manageable and readable chunks. The ability to streamline my work using markdown descriptions and title is extremely helpf...
Python programming made easy with Jupyter!
Rating: 9 out of 10
June 1, 2021Jupyter Notebook is a really dynamic tool, currently used by the Engineering team at my company. The main focus of using it is to incorporate python programming while writing ...
Log in with LinkedIn to see content from your network
Pricing
N/A
Unavailable
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…
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://www.trustradius.com/buyer…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
40 people also want pricing
Alternatives Pricing
What is Spotfire?
Spotfire, formerly known as TIBCO Spotfire, is a visual data science platform that combines visual analytics, data science, and data wrangling, so users can analyze data at-rest and at-scale to solve complex industry-specific problems.
What is Rational BI?
Rational BI provides analytics, data science and business intelligence in an analytical platform that connects to databases, data files and cloud drives including AWS and Azure data sources, enabling users to explore and visualize data. Users can build real-time notebook-style reports directly in a…
Product Demos
H2O TensorFlow Deep Learning Demo
YouTube
EXPORT JUPYTER to EXCEL | nb2xls | Demo & My Thoughts | Jupyter Notebook to Excel Spreadsheet
YouTube
Jupyter Notebook using Docker for Data Science (Demo)
YouTube
Lecture 11, Python Demo for Distribution
YouTube
Features
Return to navigation
Product Details
- About
- Tech Details
- FAQs
What is Jupyter Notebook?
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 |
Frequently Asked Questions
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.
Reviewers rate Connect to Multiple Data Sources and Extend Existing Data Sources and Interactive Data Cleaning and Enrichment highest, with a score of 10.
The most common users of Jupyter Notebook are from Enterprises (1,001+ employees).
Comparisons
Compare with
Reviews From Top Reviewers
(1-5 of 23)
Feedback - Jupyter Notebook
Rating: 10 out of 10
November 29, 2021
SP
Vetted Review
Verified User
1 year of experience
- Great interface.
- Segments for codes.
- Markdown for code explanation.
Cons
- Sometimes I have to restart it when I import any new python library.
- Should be available for more languages.
Flexible, lightweight, and visually intuitive organization of your workflows
Rating: 10 out of 10
July 20, 2021
LV
Vetted Review
Verified User
5 years of experience
- Visually intuitive organization of code.
- Static (but changeable) display of function outputs.
- Easy replication of notebooks or into new notebooks, or into PDFs.
Cons
- I'd like to see bookmarks made available for easier scrolling through long notebooks.
- A dark mode option would be helpful, too.
- I wish that the display of graphics would be a little bit more customizable as a native function of Jupyter.
Jupyter Pros and Cons
Rating: 10 out of 10
September 27, 2021
RL
Vetted Review
Verified User
5 years of experience
- Sharing/showcasing work in a step by step manner
- Exploratory data analysis/viewing code in-line
- Data exploration/visualization
- Switch between different coding languages
Cons
- No IDE integration/linting
- No testing integrations
- Difficult to view changes in GitHub
- Notebook harder to productionize than scripts
Python programming made easy with Jupyter!
Rating: 9 out of 10
June 01, 2021
RV
Vetted Review
Verified User
3 years of experience
- Simple and elegant code writing ability. Easier to understand the code that way.
- The ability to see the output after each step.
- The ability to use ton of library functions in Python.
- Easy-user friendly interface.
Cons
- The ability to use night mode background.
- The ability to select multiple lines of code to run and see the output.
- The ability to open .py extension file as well along with .ipynb