Jupyter Notebook Support Reviews & Ratings 2022

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

Recent Reviews

Jupyter feels like you are on moon

7 out of 10

April 29, 2022

Mostly I use Jupyter Notebook to test some python code that I work on.

Jupyter Notebook: A boon to present codes

9 out of 10

December 16, 2021

Jupyter Notebook is the most friendly software for testing and running python codes of all types. Its simple to illustrate and visualise …

Feedback - Jupyter Notebook

10 out of 10

November 29, 2021

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 …

A Notebook for All

10 out of 10

October 24, 2021

Jupyter Notebook is a coffee to me, a daily dose of it makes my day. I have been using Jupyter Notebook for various purposes from …

Jupyter "THE ATTRACTIVE" Notebook

10 out of 10

October 08, 2021

Jupyter Notebook is one of the most important applications for my personal use and for the organization purpose also. It helps to develop …

Data science made easier through Jupyter

9 out of 10

October 07, 2021

Python is the new technology that is being deployed across organisation for data science. For every language, one must use a user friendly …

Jupyter Pros and Cons

10 out of 10

September 27, 2021

Jupyter notebooks are widely used by our Science and Analytics departments to analyze data, make forecasts, clean/wrangle data, graph …

Flexible, lightweight, and visually intuitive organization of your workflows

10 out of 10

July 20, 2021

I use Jupiter Notebook to organize my workflows into manageable and readable chunks. The ability to streamline my work using markdown …

Innovative & easy-to-use tool for ML & data visualization

9 out of 10

June 14, 2021

Almost every large-scale enterprise today has started to have in-house ML models & my organization is no different. We have been making …

Python programming made easy with Jupyter!

9 out of 10

June 01, 2021

Jupyter Notebook is a really dynamic tool, currently used by the Engineering team at my company. The main focus of using it is to …

Easy to maintain modularity and write clean and efficient code

9 out of 10

May 29, 2021

It is used mostly by our Python and R programmers for programming. It is very interactive and easy to manage the programs and present …

Review of the Jupyter Notebook

8 out of 10

May 24, 2021

As an organization, we are using Python for solving manual task creation by automatically doing this task. So for this we use the RPA …

Jupyter makes life easier.

8 out of 10

May 13, 2021

We are an E-learning company. We use Jupyter Notebook in our lab's virtual environment.

Jupyter Notebook - A solid choice for early stage data analysis!

8 out of 10

May 13, 2021

Jupyter Notebook is used widely within our data science groups as a way to experiment with ML and other models. It's great for early stage …

Jupyter Notebook for quick in-depth analysis

9 out of 10

May 02, 2021

We are using Jupyter Notebook for data visualization of JSON and excel data for a banking customer. We are running multiple python scripts …

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Awards

Popular Features

View all 16 features

Visualization (23)

9.3

93%

Interactive Data Analysis (23)

9.0

90%

Data Transformations (23)

8.7

87%

Connect to Multiple Data Sources (23)

8.5

85%

Reviewer Pros & Cons

View all pros & cons

Easy to understand
More features in online Jupyter lab can be added

Verified User

Engineer in Information Technology

Information Technology & Services Company, 51-200 employees

Easy to use for visualisation and presentation of code
could have some standard python libraries imported already

Rahul Pandya

IIEC RISE Python - Success Head

IIEC RISE (Computer Software, 1001-5000 employees)

Video Reviews

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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 learning.…

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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6 people want pricing too

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Features Scorecard

Platform Connectivity

8.3

83%

Data Exploration

9.2

92%

Data Preparation

8.5

85%

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

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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.