Enthought Canopy vs. Spyder

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

Spyder is well suited if you're limited on hardware. You have to work with single code file. You need to quickly write some code and test it. Apart from this if you want to have a look at your variables then you can make use of Spyder. If you're working with Anaconda navigator then this can be the best to start with as it can be installed with single click there.

Incentivized

• 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.

• 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

• Canopy does not support Python 3
• There were times the Python shell crashed, and I would have to restart it
• Some Python libraries are slow.

Incentivized

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

It is fairly straightforward to use. Pretty much good to go as soon as you install it. The IDE itself is very user friendly, and it is only limited by whatever limitations Python has as a language. Great for those who want to run their scripts quickly or do some Python programming without fussing.

Incentivized

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

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.

Incentivized

I have chosen Spyder because it's free and open-source that comes with properly documented comments in the code. I have been using Spyder for more than 2 years and it always feels good to work with Spyder every time start my work. In Spyder, we have three windows one for man code window, idle window, and the other is for running your code and analyze. So to test a particular code I use the idle window to see what is going to be the result when I use this set of codes. That the main reason, I use Spyder.

• Its easier to define KPI's with Enthought
• It is good for reiteration and building on top of existing scripts
• Its dedicated Python console makes it easier to execute projects.

Incentivized

• Less time spent on employee training.
• Limited integration with Git.
• No tools for repository.

Incentivized