Factual package intelligence from PyPI
Using this ParallelPipe library, it is very fast and easy to build parallel acceleration for multi-stage tasks, including deep learning. This code library does not require any dependencies and consists of pure Python code.
pip install pyparallelpipe
PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
PyParallelPipe publishes 1 wheel and 1 source archive for version 1.0.2. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .