Enthought Canopy vs. Python IDLE

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Enthought Canopy
Score 7.0 out of 10
N/A
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.N/A
Python IDLE
Score 8.9 out of 10
N/A
Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.N/A
Pricing
Enthought CanopyPython IDLE
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Enthought CanopyPython IDLE
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Enthought CanopyPython IDLE
Best Alternatives
Enthought CanopyPython IDLE
Small Businesses
PyCharm
PyCharm
Score 9.3 out of 10
PyCharm
PyCharm
Score 9.3 out of 10
Medium-sized Companies
PyCharm
PyCharm
Score 9.3 out of 10
PyCharm
PyCharm
Score 9.3 out of 10
Enterprises
PyCharm
PyCharm
Score 9.3 out of 10
PyCharm
PyCharm
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Enthought CanopyPython IDLE
Likelihood to Recommend
6.0
(0 ratings)
3.4
(0 ratings)
Usability
-
(0 ratings)
8.2
(0 ratings)
Support Rating
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
Enthought CanopyPython IDLE
Likelihood to Recommend
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
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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.
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Pros
  • 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.
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  • The best thing is the debug that incorporates.
  • Friendly graphic environment.
  • Provide keyword auto-fill.
  • Color the command syntax automatically.
  • Very configurable.
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Cons
  • 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.
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  • 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)
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Usability
No answers on this topic
1-Ease of use: python IDLE is relatively ease to use,especially for developers familiar with python. Its simple and intuitive interface makes it easy to navigate and find basic features 2- learnability:python IDLE is relatively easy to learn especially for developers with prior experience with python or other programming Languages 3- efficiency: Python IDLE efficiency is limited by its basic feature set and lack of advanced tools.while it’s great for rapid prototyping and small scale developers
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Support Rating
No answers on this topic
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.
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Alternatives Considered
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.
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I chose python IDLE for its simplicity and ease of use, which made it ideal for rapid prototyping and small scale development future sets: while python IDLE offers a basic set of features, including syntax highlighting, auto completion and basic debugging tools Performance :python IDLE is relatively lightweight and doesn’t require significant system resources, making it an excellent choice for older machines or resources constrained environment
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Return on Investment
  • 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.
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  • 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.
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