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Merge remote-tracking branch 'upstream/main' into arrow-cmp-method-bool-type
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.pep8speaks.yml

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.pre-commit-config.yaml

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types: [pyi]
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args: [scripts/run_stubtest.py]
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stages: [manual]
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- id: flake8-rst
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name: flake8-rst
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description: Run flake8 on code snippets in docstrings or RST files
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language: python
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entry: flake8-rst
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types: [rst]
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args: [--filename=*.rst]
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additional_dependencies: [flake8-rst==0.7.0, flake8==3.7.9]
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- id: inconsistent-namespace-usage
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name: 'Check for inconsistent use of pandas namespace'
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entry: python scripts/check_for_inconsistent_pandas_namespace.py

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doc/source/ecosystem.rst

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Learn more by reading through :issue:`14468`, :issue:`26766`, :issue:`28142`.
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See installation and usage instructions on the `GitHub page <https://github.com/pandas-dev/pandas-stubs>`__.
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`Hamilton <https://github.com/dagworks-inc/hamilton>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Hamilton is a declarative dataflow framework that came out of Stitch Fix. It was designed to help one manage a Pandas code base, specifically with respect to feature engineering for machine learning models.
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It prescibes an opinionated paradigm, that ensures all code is:
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* unit testable
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* integration testing friendly
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* documentation friendly
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* transformation logic is reusable, as it is decoupled from the context of where it is used.
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* integratable with runtime data quality checks.
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This helps one to scale your pandas code base, at the same time, keeping maintenance costs low.
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For more information, see `documentation <https://hamilton.readthedocs.io/>`__.

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