sdc
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Numba extension for compiling Pandas data frames, Intel® Scalable Dataframe Compiler
i am curious about relationship between hpat project and https://software.intel.com/en-us/distribution-for-python. can hpat be enhanced by work intel is doing with numba and icc compiler? both projects are based on llvm...
Present [license](https://github.com/IntelPython/sdc/blob/master/LICENSE.md) file does not look right. Need to change it to the correct one
_Originally posted by @shssf in https://github.com/IntelPython/hpat/pull/253#pullrequestreview-307293162
This PR adds new APIs to be used by pandas functions implementers to help parallelize theirs kernels: * `map_reduce(arg, init_val, map_func, reduce_func)` * `map_reduce_chunked(arg, init_val, map_func, reduce_func)` Parameters: * `arg`...
> Are you sure that `skipna=None` here? It is better to refer to Pandas sources. We had am examples before where we found a bug in Pandas documentation _Originally posted...