Likelihood to Recommend It's easy to create virtual environments and install packages for different projects as we may need project-specific packages for doing our experiments, also it's easy to see what changes we have made and create pull requests faster. But sometimes we want some light python editor like Jupiter notebook as PyCharm is relatively heavier, also Jupiter notebooks are a good option when we need to run remote code on local machines.
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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.
Read full review Pros Git integration is really essential as it allows anyone to visually see the local and remote changes, compare revisions without the need for complex commands. Complex debugging tools are basked into the IDE. Controls like break on exception are sometimes very helpful to identify errors quickly. Multiple runtimes - Python, Flask, Django, Docker are native the to IDE. This makes development and debugging and even more seamless. Integrates with Jupyter and Markdown files as well. Side by side rendering and editing makes it simple to develop such files. Read full review Python Software Foundation
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. Read full review Cons The biggest complaint I have about PyCharm is that it can use a lot of RAM which slows down the computer / IDE. I use the paid version, and have otherwise found nothing to complain about the interface, utility, and capabilities. Read full review Python Software Foundation
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) Read full review Likelihood to Renew It's perfect for our needs, cuts development time, is really helpful for newbies to understand projects structure
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Usability Python Software Foundation
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.
Read full review Support Rating I rate 10/10 because I have never needed a direct customer support from the JetBrains so far. Whenever and for whatever kind of problems I came across, I have been able to resolve it within the internet community, simply by Googling because turns out most of the time, it was me who lacked the proper information to use the IDE or simply make the proper configuration. I have never came across a bug in PyCharm either so it deserves 10/10 for overall support
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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.
Read full review Alternatives Considered PyCharm is the best IDE for python development. PyCharm offers various features: source code completion, support for unit testing, integration with Docker/GitLab/Git, ability to manage and configure virtual environments, auto-indentation, and re-factoring code with ease. Support for JSON/Shell scripts and support for Flask/Django Other tools are effective for creating isolated scripts but not for handling projects with more than two scripts.
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It's easy to set up and run quick analysis in Python IDLE on my local machine. The output is direct and easy to read. But sometimes I prefer
Jupyter Notebook when the datasets are large, since it would take too long to run on my local machine. It is easier to run
Jupyter Notebook on my cloud desktop
Read full review Return on Investment Buying the licensed pro version is a bit costly, but overall because of its features and its speed, the time taken by a developer to develop something can be improved. Indirectly getting a good return of Investment. Considering the team size and its features, one can go for the licensed version as the ROI is high. Customer support is also good for a licensed version, thereby saving the time, which in turn shows ROI as high. Read full review Python Software Foundation
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. Read full review ScreenShots