[Numpy-discussion] Proposed Roadmap Overview
Thu Feb 16 17:20:39 CST 2012
On Thu, Feb 16, 2012 at 5:56 PM, Warren Weckesser
> On Thu, Feb 16, 2012 at 4:39 PM, Travis Oliphant <email@example.com>
>> Mark Wiebe and I have been discussing off and on (as well as talking with
>> Charles) a good way forward to balance two competing desires:
>> * addition of new features that are needed in NumPy
>> * improving the code-base generally and moving towards a more
>> maintainable NumPy
>> I know there are load voices for just focusing on the second of these and
>> avoiding the first until we have finished that. I recognize the need to
>> improve the code base, but I will also be pushing for improvements to the
>> feature-set and user experience in the process.
>> As a result, I am proposing a rough outline for releases over the next
>> * NumPy 1.7 to come out as soon as the serious bugs can be
>> eliminated. Bryan, Francesc, Mark, and I are able to help triage some of
>> * NumPy 1.8 to come out in July which will have as many
>> ABI-compatible feature enhancements as we can add while improving test
>> coverage and code cleanup. I will post to this list more details of what
>> we plan to address with it later. Included for possible inclusion are:
>> * resolving the NA/missing-data issues
>> * finishing group-by
>> * incorporating the start of label arrays
>> * incorporating a meta-object
>> * a few new dtypes (variable-length string, varialbe-length unicode
>> and an enum type)
>> * adding ufunc support for flexible dtypes and possibly structured
>> * allowing generalized ufuncs to work on more kinds of arrays
>> besides just contiguous
>> * improving the ability for NumPy to receive JIT-generated function
>> pointers for ufuncs and other calculation opportunities
>> * adding "filters" to Input and Output
>> * simple computed fields for dtypes
>> * accepting a Data-Type specification as a class or JSON file
>> * work towards improving the dtype-addition mechanism
>> * re-factoring of code so that it can compile with a C++ compiler
>> and be minimally dependent on Python data-structures.
>> * NumPy 2.0 to come out in January of 2013. Mark Wiebe and I will
>> post to this list a document that explains some of it's proposed features
>> and enhancements. I won't steal his thunder for some of the things he is
>> working on.
>> If there are code issues people would like to see addressed, it would be a
>> great time to speak up and/or propose something that you would like to see.
> The above list looks great. Another request that comes up occasionally on
> the mailing list is for the efficient computation of order statistics, the
> simplest case being a combined min/max function. Longish thread starts
> here: http://thread.gmane.org/gmane.comp.python.numeric.general/44130/
The list looks great, but for the time table I expect there will be at
least a 1.9 and 1.10 necessary to improve what "we didn't get quite
right in the first place", or what not many users had time to try out.
>> In general NumPy 1.8 will have new features that need to be explored in
>> order that NumPy 2.0 has enough code "experience" in order to be as useful
>> as possible. I recognize that NumPy 1.8 has quite a few proposed features.
>> These have been building up and are the big reason I've committed so many
>> resources to NumPy. The feature-list did not just come out of my head.
>> They are the result of talking and interacting with many NumPy users and
>> watching the code get used (and not used) in the real world. This will be
>> a faster pace of development. But, all of this will be in the open. If
>> the NumPy 2.0 schedule is too aggressive, then we will have a NumPy 1.9
>> release in order to allow features to come out.
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