Likelihood to Recommend Initially you may think it’s not worth paying and that there are better free options, which is definitely a lie we once tried to live with. It has everything you may ever need in .NET world, code analysis and debugging works super well and all the SQL/noSQL related integrations are just next level compared to the competition. It’s worth every penny.
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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 Provides a smooth, efficient IDE for developing .NET applications. Performance has been much better than Visual Studio in my experience. Integrated refactoring tools are really comprehensive and useful. Integrates with other JetBrains products such as TeamCity, Upsource, dotTrace, etc. 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 Startup time. It takes a while to index big projects. Rarely it loses the intellisense and the only way to get it back is by restarting. 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 Due to the performance and productivity benefits we get with Rider, we will continue to use it for the foreseeable future.
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Usability Rider is a great IDE with extensive C# refactoring support and .NET-specific knowledge. This is great for building .NET applications but for our purposes, the Unity specific suggestions are really helpful.
JetBrains Rider is great as an editing and debugging environment. It reliably connects to the Unity editor and allows debugging, which some IDEs are not as reliable at doing.
Read full review 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 The support forums and knowledge base are extensive and the JetBrains support staff respond quickly to new posts and help resolve issues. There is also a publicly accessible issue tracking system, which allows you to stay on top of any bug fixes or enhancement requests.
Read full review Python Software Foundation
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 Rider is hands down smoother and way less glitchy than Visual Studio Enterprise. There are way more refactoring capabilities and spell check so that your code is readable, maintainable, and easy to follow. Since Rider is cross-platform, our developers are no longer constrained to only using Windows. We can now get a familiar development environment across Mac, Windows, or Linux!
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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 All people using the same IDE makes it much easier to ramp-up and collaborate Development and maintainment can be done in a more efficient way 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