8e864197ca
Cython implementation of the toolz package, which provides high performance utility functions for iterables, functions, and dictionaries toolz is a pure Python package that borrows heavily from contemporary functional languanges.It is designed to interoperate seamlessly with other libraries including itertools, functools, and third party libraries. High performance functional data analysis is possible with builtin types like list and dict, and user-defined data structures; and low memory usage is achieved by using the iterator protocol and returning iterators whenever possible. cytoolz implements the same API as toolz. The main differences are that cytoolz is faster (typically 2-5x faster with a few spectactular exceptions) and cytoolz offers a C API that is accessible to other projects developed in Cython. Since toolz is able to process very large (potentially infinite) data sets, the performance increase gained by using cytoolz can be significant
15 lines
965 B
Text
15 lines
965 B
Text
Cython implementation of the toolz package, which provides high performance
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utility functions for iterables, functions, and dictionaries
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|
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toolz is a pure Python package that borrows heavily from contemporary functional
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languanges.It is designed to interoperate seamlessly with other libraries
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including itertools, functools, and third party libraries. High performance
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functional data analysis is possible with builtin types like list and dict, and
|
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user-defined data structures; and low memory usage is achieved by using the
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iterator protocol and returning iterators whenever possible.
|
|
|
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cytoolz implements the same API as toolz. The main differences are that cytoolz
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|
is faster (typically 2-5x faster with a few spectactular exceptions) and cytoolz
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offers a C API that is accessible to other projects developed in Cython. Since
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toolz is able to process very large (potentially infinite) data sets, the
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performance increase gained by using cytoolz can be significant
|