@@ -11,7 +11,6 @@ Any questions or comments should be asked on
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* [ Documentation improvements] ( #documentation )
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* [ International text handling] ( #text )
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* [ Categorical axes] ( #categorical )
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- * [ New Mac OSX backent] ( #macosx )
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* [ Compound artists] ( #compound )
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* [ GUI Improvements] ( #gui )
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@@ -160,31 +159,6 @@ This work may include:
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This work will be done in Python. Pandas experience would be very helpful. Domain
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expertise working with categorical data helpful but not required.
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- <a name =" macosx " ></a >
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- ## New Mac OSX backend
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-
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- ### Abstract
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-
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- The existing ` macosx ` backend performs rendering of all drawing
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- primitives. Unfortunately, this means it often lags behind in terms
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- of the quality and speed of the rendering vs. the more commonly used
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- Agg backend. We would like to implement a new ` macosx ` backend
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- (largely based on the existing one) where the rendering is performed
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- by Agg and this image buffer is simply copied to the screen. This
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- would retain all of the advantages of the existing ` macosx ` backend --
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- that it has no external dependencies and the widgets appear "native"
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- -- but would render with the same quality and performance as the Agg
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- backends.
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-
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- | ** Intensity** | ** Involves** | ** Mentors** |
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- | ------------- | --------------| ------------ |
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- | Advanced | Python, Objective-C, Python/C API, Cocoa | [ @mdboom ] [ ] |
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-
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- ### Open Source Development Experience
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-
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- This will involve adapting an existing Python extension written in
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- Objective-C, and will require access to a Macintosh.
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-
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<a name =" compound " ></a >
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## Compound Artists
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