Anaconda vs PyCharm: What are the differences?
What is Anaconda? The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders. A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
Anaconda belongs to "Data Science Tools" category of the tech stack, while PyCharm can be primarily classified under "Integrated Development Environment".
According to the StackShare community, PyCharm has a broader approval, being mentioned in 372 company stacks & 527 developers stacks; compared to Anaconda, which is listed in 4 company stacks and 5 developer stacks.
What is Anaconda?
What is PyCharm?
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Why do developers choose Anaconda?
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What are the cons of using Anaconda?
What are the cons of using PyCharm?
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PyCharm is our preferred IDE for python apps, for all its simple awesomeness in writing code, as well as the ease with which you can run a Django shell, a web server, or run tests.
I used pycharm for Machine learning. Then I switched back to sublime and I am going to try atom now.
Free for community projects... Must try for those looking for Python IDEs. Works out of the box.
- great editor
- helpful configurations, though tedious
- online docs (rival stackoverflow)