Python currently uses Numpy for heavy duty math and image processing.
The previous Numeric and Numarray are deprecated, but to this day there are many tutorials, notes, sample code, and other documentation that use them. Some of them cover special topics of interest, some of them are well written, but have not been updated or replaced or otherwise used. Quite a bit between Numeric, Numarray and Numpy, so I usually get a good run from these old docs. Ocassionaly, however, I came across a line of code that leads to an error. It is not often enough to remember how to get around this, but usually I figure it out at the cost of some time.
What are the main points to pay attention to based on such outdated documentation for the current use of Numpy? Is there a list of ways to translate existing differences?
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