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What is Python IDLE?

Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.

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Pricing

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What is Python IDLE?

Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://github.com/python/cpython/tree/…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

What is Python IDLE and How to Use the IDLE Shell

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#3 Introduction to Values/Variables in Python with Demo

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Python IDLE Scripting

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Using Python IDLE

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Product Details

What is Python IDLE?

Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.

Python IDLE Technical Details

Deployment TypesOn-premise
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo

Frequently Asked Questions

Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.

Python IDLE starts at $0.

The most common users of Python IDLE are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(188)

Attribute Ratings

Reviews

(1-6 of 6)
Companies can't remove reviews or game the system. Here's why
Score 2 out of 10
Vetted Review
Verified User
Incentivized
I started using Python IDLE in my first days as a programmer, however as time went by I realized that it is more oriented towards user learning and becoming familiar with the language. Currently I just use it for fast testing small functions or sample scripts but that's it. I feel the interface is too basic for doing more complex tasks.
  • Easy to use
  • Good debugging highlights
  • Fast
  • Doesn't consume too much computer resources
  • Better configurable interface
  • More advanced 3rd party packages
Since it comes built in with Windows when Python is installed I would say that it's more focused for people who are starting to get into the Python world and don't need to install or configure more complex IDLE's for taking the basic courses about Python. I would not [use] IDLE in production because it's too basic and too simplistic. There are more complete ones available.
Gabriel Krahn | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use IDLE to test and run small scripts in Python when we don't want to open bigger IDEs such as Pycharm or Visual Studio (for example, calling simple internal scripts). We use it mainly in our own machines rather than running it on a server, so few users in the organization are using it.
  • Simple to use.
  • Fast
  • Friendly interface (for someone who knows how to use it).
  • It's a simple environment so for me there is no room for improvement. It does what it needs to do.
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.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use Python IDLE for machine learning and AI projects at our organization. To perform analysis on health data and for decision making like whether a health center has to get an award or not based on their annual data reported, we perform some predictive analysis and make decisions.
  • 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.
  • Debugging could be more advanced.
  • Can have more data science packages.
  • Output features can be better.
It is really helpful for the teams who have beginners to phyton as it can help to perform better by using several inbuilt options.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
I think it depends on users. I prefer Python IDLE for machine learning model development. It's widely used across science teams for ML solutions in production as it's well integrated with most production systems and AWS tools. Also, it is used as the default tool for machine learning university internally.



  • User friendly for basic stats analysis
  • Well-developed packages for ML development
  • Well integrated with production system
  • More user-friendly tutorials
  • Easier output format
  • Quick intro guide to new features
I prefer to use Python IDLE for basic stats analysis and model development. The codes can be directly integrated with production systems and AWS tools. I think Python IDLE could provide more user-friendly tutorials or quick intros for new features as well as ML-related functions or packages for ML model development.
December 31, 2020

Not for the advanced user

Score 7 out of 10
Vetted Review
Verified User
Incentivized
Python IDLE is used by some people as the IDE for python interpreter in a Windows environment. We don't use it department wide, as it has only basic functionalities in my opinion. Python IDLE is used mainly for writing simple scripts, which are used mainly for text processing and data cleanup purposes.
  • GUI interface
  • Has scope matching
  • Debugging facilities can be integrated
  • Too simplistic
  • Could not find source revision management integration support
  • Only basic debugging is available
  • Does not have data-science-specific notebooks (but can be installed separately)
  1. Python IDLE comes built-in if Python is installed in the Windows operating system. In this regard, it is already there and does not require downloading and installing any additional IDE. However, the functionalities are rather basic compared to more advanced IDEs like PyCharm. So I was using this IDLE initially when I was getting myself familiar with Python.
  2. I do not use Python IDLE for data science projects, as I find that it lacks some crucial features that are more geared toward the intermediate or advanced level of programmers.
November 14, 2020

Review for Python IDLE

José Javier Dominguez Reina | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
In the Python IDLE development environment, I am using it personally to carry out small developments or to migrate scripts made in shell to Python, to improve its performance and take advantage of the advantages of Python over sh / bash.
These scripts are for automating department, peer, or personal tasks.
I am using this IDE as it has an educational part that makes programming easier and allows you to debug.

  • The best thing is the debug that incorporates.
  • Friendly graphic environment.
  • Provide keyword auto-fill.
  • Color the command syntax automatically.
  • Very configurable.
  • Too minimalist GUI.
  • It does not allow associating several code files to a development project.
  • It does not have plugins.
I rate it a 10 because I have few colleagues who know Python and this editor is a very good starter.
It makes the language learning curve fast and Python programming friendly because it is a very simple editor that "helps" you to program.
This is because it has self-help syntax, colors / marks keywords or variables or autocomplete them.
Furthermore, the editor is similar to any edit on any operating system.

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