AWS Cloud9 vs. Spyder

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.

Incentivized

Spyder is an open-source Python IDE designed for the movement of data science work. Spyder comes with an Anaconda 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.

• 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.

• 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

Incentivized

• 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.

Incentivized

• Colors in code format
• Add a broadcast to share the project with friends
• Contains more than one important language such as Python

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.

Incentivized

Customer support is managed by the Cloud support team. I won't be able to comment on details, but it's fast.

Most of data scientists or data engineers are either using ec2 on the cloud or Atom or PyCharm 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.

Incentivized

[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 Codeanywhere. It provides terminal access to EC2 instances and hence other amazon services.

Incentivized

I think Spyder doesn't stack up as well as other IDEs due to its many limitations. But it is available for free and that is one advantage it has over its competitors

Incentivized

• We save time since we do not need to configure files or our equipment.
• We have the most appropriate tools for software development in one place.
• We can work from anywhere so if that day we could not get to our office or something we can do from home.
• We can code with a single browser.

Incentivized

• Easy to use.
• Quick switch from R.
• Hard to manage env.

Incentivized