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What are the best machine learning IDEs?
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Jan 18, 2021
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Best machine learning IDEs
Price
Platforms
License
--
Visual Studio Code
FREE
Windows, macOS, Linux
MIT, Proprietary (official builds)
--
Pycharm EDU
-
-
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--
Visual Studio Code
My Rec
ommendation
for
Visual Studio Code
My Recommendation for
Visual Studio Code
All
10
Pros
5
Cons
4
Specs
Top
Pro
•••
Integrated debugging
VSC includes debugging tools for Node.js, TypeScript, and JavaScript.
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Top
Con
•••
The autocomplete and code check is not as powerful as the one on WebStorm
Sometimes it doesn't tell you if you made a typo in a method name or if a method is not used and several other important features.
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Specs
Platforms:
Windows, macOS, Linux
License:
MIT, Proprietary (official builds)
Multi Language Support:
Yes
Auto Complete:
Yes
See All Specs
Top
Pro
•••
JavaScript IntelliSense support
JavaScript IntelliSense allows Visual Studio Code to provide you with useful hints and auto-completion features while you code.
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Top
Con
•••
Project search limits results
Because file search is so slow your results are limited in order to simulate a faster search.
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Top
Pro
•••
Embedded Git control
Visual Studio Code has integrated Git control, guaranteeing speed, data integrity, and support for distributed, non-linear workflows.
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Top
Con
•••
Very bad auto import
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Top
Pro
•••
TypeScript integration
There is very solid TypeScript integration in Visual Studio Code. Both are developed by Microsoft and VSC itself is written in TypeScript.
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Top
Con
•••
Embedded Git isn't powerful enough
You can do nothing but to track changes, stage them and commit. No history, visualization, rebasing or cherry-picking – these things are left to git console or external git client.
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Top
Pro
•••
Extendable through plug-ins
Visual Studio Code comes fairly complete out of the box, but there are many plug-ins available to extend its functionality.
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FREE
Recommend
1
--
Pycharm EDU
My Rec
ommendation
for
Pycharm EDU
My Recommendation for
Pycharm EDU
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