Jupyter Notebook Reviews & Ratings 2025

Name: Jupyter Notebook Tutorial For Beginners 2020 | TrustRadius
Uploaded: 2020-10-08T19:08:39.000Z
Duration: 10 min 46 s
Description: 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.

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, 2024

IncentivizedVetted ReviewVerified User

We 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 experience

Feedback - Jupyter Notebook

Rating: 10 out of 10

November 29, 2021

Vetted ReviewVerified User

I 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 experience

Jupyter Pros and Cons

Rating: 10 out of 10

September 27, 2021

IncentivizedVetted ReviewVerified User

Jupyter notebooks are widely used by our Science and Analytics departments to analyze data, make forecasts, clean/wrangle data, graph visualizations, create machine learning m...

Rita Lo

Analyst - Corporate

Lyft Inc.

5 years of experience

Flexible, lightweight, and visually intuitive organization of your workflows

Rating: 10 out of 10

July 20, 2021

IncentivizedVetted ReviewVerified User

I 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...

Lindsay Veazey

Engineer - Engineering

Senior Data Scientist

Very

5 years of experience

Python programming made easy with Jupyter!

Rating: 9 out of 10

June 1, 2021

IncentivizedVetted ReviewVerified User

Jupyter 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 ...

Rounak Verma

Employee - Engineering

Data Analyst

Raymour and Flanigan

3 years of experience

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Pricing

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Jupyter Notebook

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

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Product Demos

H2O TensorFlow Deep Learning Demo

YouTube

EXPORT JUPYTER to EXCEL | nb2xls | Demo & My Thoughts | Jupyter Notebook to Excel Spreadsheet

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Jupyter Notebook using Docker for Data Science (Demo)

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Lecture 11, Python Demo for Distribution

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Features

Platform Connectivity

Ability to connect to a wide variety of data sources

9

Avg 8.4

10
Connect to Multiple Data Sources
(22) Ratings
Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion
10
Extend Existing Data Sources
(21) Ratings
Use R or Python to create custom connectors for any APIs or databases
8.5
Automatic Data Format Detection
(14) Ratings
Automatic detection of data formats and schemas
7.4
MDM Integration
(15) Ratings
Integration with MDM and metadata dictionaries

Data Exploration

Ability to explore data and develop insights

7

Avg 8.3

Data Preparation

Ability to prepare data for analysis

9.5

Avg 8.2

Platform Data Modeling

Building predictive data models

9.3

Avg 8.4

10
Multiple Model Development Languages and Tools
(21) Ratings
Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.
9.2
Automated Machine Learning
(18) Ratings
Tools to help automate algorithm development
10
Single platform for multiple model development
(22) Ratings
Single place to build, validate, deliver, and monitor many different models
8
Self-Service Model Delivery
(20) Ratings
Multiple model delivery modes to comply with existing workflows

Model Deployment

Tools for deploying models into production

10

Avg 8.5

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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).

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