Likelihood to Recommend
When I am working with a large team of developers. Also, when a security policy, you are not allowed to install any app on your laptop. Cloud 9 is well integrated with Cloud commit. So we don't have to spend time in configurations.
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Spyder is an open-source Python IDE designed for the movement of data science work. Spyder comes with an
package manager distribution, so depending on your setup you may have installed it on your machine.
Spyder includes most of the "standard IDE" features you can expect, such as a strong syntax code editor, Python code rendering, and an integrated text browser.
Spyder is used when we want to develop a code that is useful and able to explore proper documentation of the code that has been written. We use Spyder to perform data-related operations like filtration, cleaning, and enhancing the data qualities. There some cases where it is less appropriate like working in an environment, creating dashboards of data visualizations and plots.
Read full review Pros It provides an extremely intuitive and easy-to-use interface, so adapting to it does not take much time. It contains the most common programming languages. It allows the export of files, either directly to the repository or to the team where you want it. It is housed in the cloud so you can work with it from anywhere. Allows you to share code or work on them with others in real-time. Does not require installation. Read full review Debugging of your existing code Generates figures very quickly as part of a figures tab which lets users understand results quickly Different layouts are available for the software which will give the users freedom to decide what layout works best for them Read full review Cons Confusing documentation - AWS's documentation remains quite confusing, and the layout of other services/settings that you have to use with Cloud9 can be a bit of a handful. Sometimes slow - As the size of a project increases, the editor gets increasingly slower, and starts slowing down the browser overall. Long setup process - The setup for Cloud9 can be hard and tough, especially since the documentation is quite hard to understand. Read full review Colors in code format Add a broadcast to share the project with friends Contains more than one important language such as Python Read full review Usability
The interface for Cloud9 needs some improvement. It is simply not as powerful and intelligent as a local text editor would be and thus it lacks the capabilities of fast filling when coding. Otherwise, I think it has a fair interface that they have tried mimicking an IDE.
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Customer support is managed by the Cloud support team. I won't be able to comment on details, but it's fast.
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Most of data scientists or data engineers are either using ec2 on the cloud or
locally. It is a bit hard to find people who are still using Spyder and have the sight of the IDE and can help you to answer your question.
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[AWS] Cloud9 offers specific features not available in the competition: Code collaboration using the chat features is the highlight which sets it apart. [The] code completion feature makes [it] very similar to the offline IDE like eclipse. It's much easier to use compared to
. It provides terminal access to EC2 instances and hence other amazon services.
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It is not fair to say that Spyder takes upward from all these IDE's, but likewise
is also useful for the Python programming purpose. But as the visual studio it is more suitable and also helps in collaboration work, but Spyder has the limitations working with git and other stuff.
Read full review Return on Investment Positive: No need to buy additional hardware to serve as buffer. Negative: Service downtime causes significant productivity losses. Negative: Users get locked into a certain subset of tools, which are not always appropriate. Read full review Less time spent on employee training. Limited integration with Git. No tools for repository. Read full review ScreenShots