![]() ![]() Although free versions are available for 32-bit platforms and academic users, support is limited, AFAIK, to StackOverflow. ![]() Although I appreciate that the interface is solid and uncluttered – this was the main positive I mentioned when discussing IEP – I was expecting more from a commercial product, especially one that costs 199$ for the 64-bit Windows version. There’s no function browser, project manager or graphical debugger – although post-hoc debugging is supported in the ipython console via the debug command. The editor supports running both a complete file and a selection via run tools.Īnd – that’s pretty much it. docstrings pop up in a tooltip on hitting the Tab key after an opening parenthesis. Canopy’s editor is fairly smart, offering autocompletion and basic introspection, on par with that of Spyder but not as advanced as that in PyDev. ipython is used as the interpreter, and interestingly, the interface offers an option for including matplotlib graphics inline via SVG rather than in separate windows. The main editor interface is uncluttered and fairly basic. The documentation browser offers shortcuts for the online docs for Scipy, matplotlib, and more it would be preferable, IMHO, if the installation included offline copies of this documentation. The package manager offers a graphical interface to perform much the same tasks as easy_install and pip. I had a chance to install it on Windows and try it.Ĭanopy’s main screen shows three options: Editor, Package Manager and documentation browser. In my last post on IDEs for scientific Python, I couldn’t install, and therefore couldn’t properly review Canopy, a commercial IDE developed by Enthought, who sponsor SciPy. I’m leaving this post here for archival reasons since there’s very little other info on this product available online. If you’re searching for a good Python IDE, see here. ![]() March 2020 update: The Canopy scientific Python editor is at end-of-life. ![]()
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