Jupyter Notebook vs Python IDLE

Likelihood to Recommend

I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.

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Lindsay Veazey

Senior Data Scientist

VeryComputer Software, 201-500 employees

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IDLE is a good option to run small scripts directly on the console, and that's it. It is a good exit when you don't want or need to open a proper IDE like Pycharm.

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Gabriel Krahn

Analista de Suporte de Sistemas

T-Systems do BrasilComputer Software, 10,001+ employees

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Feature Rating Comparison

Jupyter Notebook

Python IDLE

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Jupyter Notebook

Python IDLE

Visualization

Interactive Data Analysis

Jupyter Notebook

Python IDLE

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Jupyter Notebook

Python IDLE

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Jupyter Notebook

Python IDLE

Flexible Model Publishing Options

Security, Governance, and Cost Controls

Pros

Code presentation- with Jupyter Notebook you can deploy codes and markdowns which makes the code easy to read and understand.
User interface- the user interface of the Jupyter Notebook is very smooth, there are a lot of easy shortcuts as well the icons to make our work easier
Server hosting- with Jupyter Notebook server hosting is very easy which adds to the security feature

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Aditya Kumar

Program Associate

Wells FargoBanking, 10,001+ employees

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Firstly, I would say Python IDLE interface is user friendly.
Easy to learn for the beginners.
Syntax highlighting is nice features.
Smart indent helps a lot.

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Verified User

Engineer in Information Technology

Information Technology and Services Company, 501-1000 employees

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Cons

Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.

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Verified User

Engineer in Research & Development

Information Technology & Services Company, 5001-10,000 employees

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More user-friendly tutorials
Easier output format
Quick intro guide to new features

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Yaxian Xie

BIE

AmazonRetail, 10,001+ employees

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Usability

Jupyter Notebook 10.0

Based on 1 answer

Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.

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Verified User

Program Manager in Information Technology

Information Technology & Services Company, 10,001+ employees

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Python IDLE 10.0

Based on 1 answer

The IDE Python IDLE is a good place to start as it helps you become familiar with the way Python works and understand its syntax.

This IDE allows you to configure the environment, font, size, colors, .....

It also looks like any simple text editor for any operating system, I work with Windows or Linux interchangeably, and you don't have to learn to use the IDE before programming.

Once the IDE is executed you can start programming directly in it.

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José Javier Dominguez Reina

Jefe de Proyecto

SadesiTelecommunications, 201-500 employees

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Support Rating

Jupyter Notebook 9.0

Based on 1 answer

I haven't had a need to contact support. However, all required help is out there in public forums.

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Verified User

Program Manager in Information Technology

Information Technology & Services Company, 10,001+ employees

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Python IDLE 8.0

Based on 1 answer

Python IDLE support is what the community can give you. As it is free software, it does not have support provided by the manufacturer or by third-parties.

In any case, for most of the problems that normal users can find, the solution, or alternatives, can be found quickly online.

As this IDE is made in Python, the support is the same group of Python developers.

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José Javier Dominguez Reina

Jefe de Proyecto

SadesiTelecommunications, 201-500 employees

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Alternatives Considered

I have used PyCharm as well as Jupyter Notebook and for me, Jupyter wins almost every time. I really like its user-friend interface for someone who is new to python programming. The ability to run a big chunk of code part by part is a big game-changer for me. One thing I would like is a night mode just like PyCharm as it helps the night owls like myself who work a big part during the night. I also like how Anaconda command prompt helps you download a library and just a simple import statement in the notebook helps you extract every functionality.

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Rounak Verma

Data Analyst

Raymour and FlaniganRetail, 1001-5000 employees

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Python IDLE is very easy to use compared to PyCharm. So for simple python scripting, Python IDLE is preferable to PyCharm, which has relatively steep learning curve. Compared to Python IDLE, PyCharm is more resource intensive, which may be worth it when comes to large projects, but PyChram does not provide any extra value for simple scripting.

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Mohammad Mahmud

Data Scientist

Siemens HealthineersHealth, Wellness and Fitness, 1001-5000 employees

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Return on Investment

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

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Lindsay Veazey

Senior Data Scientist

VeryComputer Software, 201-500 employees

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In a short time, we were able to develop several ML models for various teams to make accurate decisions.
Beginners can easily understand and adapt to GUI.
We could automate several manual validation tasks and so could reduce human intervention.

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Verified User

Engineer in Information Technology

Information Technology and Services Company, 501-1000 employees

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Pricing Details

General

Free Trial

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Free/Freemium Version

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Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Starting Price

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General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Starting Price

—

Rating Summary

Jupyter Notebook

Python IDLE

Jupyter Notebook

Python IDLE

Jupyter Notebook

Python IDLE

Likelihood to Recommend