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Development
Windows
Python
What are the best packages to setup a productive Python environment under Windows?
3
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Considered
5
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Recs.
Feb 14, 2022
Last
Updated
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3
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Considered
Best packages to setup a productive Python environment under Windows
Price
License
Last Updated
--
PyCharm Community Edition
Free / paid
-
Jan 11, 2021
--
WinPython
Free
MIT
Feb 14, 2022
--
Conda
0
-
Nov 16, 2017
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--
PyCharm Community Edition
My Rec
ommendation
for
PyCharm Community Edition
My Recommendation for
PyCharm Community Edition
All
8
Pros
6
Cons
2
Top
Pro
•••
Pro features Free for students
JetBrains offers a Student Pack, which gives you a student license and access to the pro features of selected products such as PyCharm, IntelliJ IDEA and Php Storm.
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Top
Con
•••
Feature incomplete
Some features are locked behind a paywall. Although if you are a student, you can apply for the Student Pack.
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Top
Pro
•••
Framework support
PyCharm supports cefpython and electron.js (with c bindings).
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Top
Con
•••
Memory-hungry
Can use a lot of memory (several GBs), especially when dealing with large projects.
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Top
Pro
•••
Version control integration
PyCharm has CVS, Git, Subversion and Mercurial integration.
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Top
Pro
•••
Excellent refactoring support
There are many refactoring options including renaming and changing signature across entire projects. It also includes the an ability to preview changes before committing and exclude anything unwanted.
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Top
Pro
•••
Excellent debugger
PyCharm can leverage run-time information when running your application with the built-in debugger to figure out what types can possibly be passed to which functions, etc.
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Top
Pro
•••
Sophisticated autocompletion
PyCharm includes sophisticated heuristics for determining what each variable type is and providing autocompletion suggestions for them.
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Free / paid
Recommend
1
--
WinPython
My Rec
ommendation
for
WinPython
My Recommendation for
WinPython
All
6
Experiences
1
Pros
4
Specs
Top
Pro
•••
Portable (but can be registered)
Can be installed without any integration into Windows. This makes it possible to have many different installations in parallel (Python 2 and 3, 32-bit and 64-bit). If needed, there is a Control Panel that let's you register a specific installation to Windows.
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TalentedHarpocrates's Experience
easy to install. Very complete to make developments.
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Specs
License:
MIT
Top
Pro
•••
Free and open-source
It's released with the MIT license. Sources are available on GitHub, distributions on SourceForge.
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Top
Pro
•••
Many integrated packages
Just to name a few: NumPy, SciPy, Sympy, Matplotlib, Pandas, pyqtgraph, cython, Jupyter
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Top
Pro
•••
Package Manager
The WinPython Package Manager provides a useful GUI to install or update packages. Naturally you can also simply use pip.
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Free
Recommend
3
--
Conda
My Rec
ommendation
for
Conda
My Recommendation for
Conda
All
2
Pros
1
Cons
1
Top
Pro
•••
High-performance distribution
Easily install 1,000+ data science packages.
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Top
Con
•••
The updates sometimes fails
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0
Recommend
1
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