AWS Cloud9 is a cloud-based integrated development environment (IDE) used to write, run, and debug code with just a browser. It includes a code editor, debugger, and terminal. Cloud9 comes prepackaged with essential tools for popular programming languages, including JavaScript, Python, and PHP, with no need to install files or configure a development machine to start new projects.
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Enthought Canopy
Score 7.0 out of 10
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Austin based Enthought offers their flagship scientific Python distribution, Canopy. The Canopy Geoscience (or Canopy Geo) variant of the product is a data analysis, exploration and visualization package optimized for geologists & geophysicists, and researchers in petroleum science.
AWS Cloud9 is great for product engineering and coding where you must take time to pair program and code in a specific isolated environment. It is entirely cloud based so there's no worry about saving and data consistency. It is all hosted on the Amazon Web Services cloud. It is less appropriate for more general workflows that don't require a specific cloud instance.
Canopy is perfect for data analysis in general. If you are a programmer for general purpose commercial application perhaps Canopy is not the best choice. But if you are just beginning programming or making simulation with python I recommend using Canopy and its training platform, they have excellent teachers with impressive curriculum
Great, fast interface - There is a large list of shortcuts that make development on this IDE an experience that can sometimes even compare to something native.
Integrated debugging/troubleshooting - AWS Cloud9 has integrated debugging tools that are quite well-designed.
Lambda integrations - Cloud9 allows you to instantly run and maintain Lambda functions. It's probably the best IDE for developing on AWS Lambda.
Providing scientific libraries, both open source and Enthought's own libraries which are excellent.
Training. They provide several courses in python for general use and for data analysis.
Debugging tools. Several IDEs provides tools for debugging, but I think they are insufficient or too general. Canopy has a special debugging tool, specially design for 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.
S3 is a great service for storing unstructured data. It is cheap and us an user we don't have to care about scaling. Amazon S3 is a managed service. We use it for avery simple projects in our organization.
I was using Sublime Text Editor initially to edit and write most of my Python scripts, but a colleague recommended Enthought Canopy and I have been using it ever since then, because of its integrated packages for data analysis, its easier to execute and write relevant scripts in one space. It definitely makes work life easier and effective.
This software has been really useful for our company since thanks to the fact that you can work together with other colleagues in the same code, it is much easier to advance in the development of projects and thus be able to make your delivery in a much shorter time.
Because it provides all the necessary tools to develop projects, there is a great saving of time and costs.
It is easy to use so any user can use it and this makes it possible to streamline each project much faster and more if you do not necessarily have to be in the company to advance in them, and this is thanks to the fact that it can be used from anywhere with internet access.
