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Title: GitHub - MNIKIEMA/mlops-python-package: Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

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Description: Kickstart your MLOps initiative with a flexible, robust, and productive Python package. - MNIKIEMA/mlops-python-package

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Run the project installation with poetryhttps://python-poetry.org/docs/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#next-steps
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#usage
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#configuration
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#execution
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command-linehttps://www.pyinvoke.org/
VS Code extensionhttps://marketplace.visualstudio.com/items?itemName=dchanco.vsc-invoke
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#tools
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Pre-Commithttps://pre-commit.com/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#commit-pre-commit
Git Hookshttps://git-scm.com/book/en/v2/Customizing-Git-Git-Hooks
Bump2versionhttps://github.com/c4urself/bump2version
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#release-bump2version
SemVer versioninghttps://semver.org/
https://xkcd.com/1319/https://xkcd.com/1319/
PyInvokehttps://www.pyinvoke.org/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#tasks-pyinvoke
Makehttps://www.gnu.org/software/make/manual/make.html
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#cli
Argparse!https://docs.python.org/3/library/argparse.html
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#parser-argparse
Typerhttps://typer.tiangolo.com/
Firehttps://github.com/google/python-fire
Clickhttps://click.palletsprojects.com/en/latest/
Loguruhttps://loguru.readthedocs.io/en/stable/
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Logginghttps://docs.python.org/3/library/logging.html
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Coveragehttps://coverage.readthedocs.io/en/latest/
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VS Codehttps://code.visualstudio.com/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#editor-vs-code
PyCharmhttps://www.jetbrains.com/pycharm/
Vimhttps://www.vim.org/
Spacemacshttps://www.spacemacs.org/
Isorthttps://pycqa.github.io/isort/
Blackhttps://black.readthedocs.io/en/stable/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#formatting-isort--black
YAPFhttps://github.com/google/yapf
Pylinthttps://www.pylint.org/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#quality-pylint
Great integration with VS Codehttps://marketplace.visualstudio.com/items?itemName=ms-python.pylint
Ruffhttps://beta.ruff.rs/docs/
Flake8https://flake8.pycqa.org/en/latest/
Pytesthttps://docs.pytest.org/en/latest/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#testing-pytest
Unittesthttps://docs.python.org/fr/3/library/unittest.html
Mypyhttps://mypy-lang.org/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#typing-mypy
PyRighthttps://github.com/microsoft/pyright
PyTypehttps://google.github.io/pytype/
Pyrehttps://pyre-check.org/
Githttps://git-scm.com/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#versioning-git
https://xkcd.com/1597/https://xkcd.com/1597/
Mercurialhttps://www.mercurial-scm.org/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#configs
YAMLhttps://yaml.org/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#format-yaml
JSONhttps://www.json.org/json-en.html
TOMLhttps://toml.io/en/
OmegaConfhttps://omegaconf.readthedocs.io/en/2.3_branch/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#parser-omegaconf
Hydrahttps://hydra.cc/docs/intro/
DynaConfhttps://www.dynaconf.com/
Cloudpathlibhttps://cloudpathlib.drivendata.org/stable/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#reader-cloudpathlib
Pydantichttps://docs.pydantic.dev/latest/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#validator-pydantic
Dataclasshttps://docs.python.org/3/library/dataclasses.html
Attrshttps://www.attrs.org/en/stable/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#data
Pandashttps://pandas.pydata.org/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#container-pandas
gotchashttps://www.tutorialspoint.com/python_pandas/python_pandas_caveats_and_gotchas.htm
Polarshttps://www.pola.rs/
Pysparkhttps://spark.apache.org/docs/latest/api/python/
Parquethttps://parquet.apache.org/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#format-parquet
CSVhttps://en.wikipedia.org/wiki/Comma-separated_values
Avrohttps://avro.apache.org/
Panderahttps://pandera.readthedocs.io/en/stable/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#schema-pandera
othershttps://pandera.readthedocs.io/en/stable/supported_libraries.html
Great Expectationshttps://greatexpectations.io/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#docs
pdoc!https://pdoc.dev/
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Sphinxhttps://www.sphinx-doc.org/en/master/
Mkdocshttps://www.mkdocs.org/
Googlehttps://google.github.io/styleguide/pyguide.html
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Numpyhttps://numpydoc.readthedocs.io/en/latest/format.html
Sphinxhttps://sphinx-rtd-tutorial.readthedocs.io/en/latest/docstrings.html
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Scikit-Learn Metrics!https://scikit-learn.org/stable/modules/model_evaluation.html
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Joblib!https://joblib.readthedocs.io/en/stable/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#format-joblib
MLflow Modelhttps://mlflow.org/docs/latest/models.html
Picklehttps://docs.python.org/3/library/pickle.html
ONNXhttps://onnx.ai/
no guaranteed compatibility for the resthttps://onnxruntime.ai/docs/reference/compatibility.html
Scikit-Learn Basehttps://scikit-learn.org/stable/modules/classes.html#module-sklearn.base
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MLflowhttps://mlflow.org/
MLEMhttps://mlem.ai/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#package
Wheelhttps://peps.python.org/pep-0427/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#format-wheel
Has several advantageshttps://realpython.com/python-wheels/#advantages-of-python-wheels
Sourcehttps://docs.python.org/3/distutils/sourcedist.html
Poetryhttps://python-poetry.org/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#manager-poetry
Setuptoolshttps://docs.python.org/3/distutils/setupscript.html
https://xkcd.com/1987/https://xkcd.com/1987/
Dockerhttps://www.docker.com/resources/what-container/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#runtime-docker
Condahttps://docs.conda.io/en/latest/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#programming
Pythonhttps://www.python.org/
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Gilectomyhttps://github.com/larryhastings/gilectomy
Rhttps://www.r-project.org/
Juliahttps://julialang.org/
Pyenvhttps://github.com/pyenv/pyenv
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#version-pyenv
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AI/ML Practiceshttps://machinelearningmastery.com/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#aiml-practices
Data Cataloghttps://docs.kedro.org/en/stable/data/data_catalog.html
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#data-catalog
Hyperparameter Optimizationhttps://en.wikipedia.org/wiki/Hyperparameter_optimization
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#hyperparameter-optimization
Bayesianhttps://en.wikipedia.org/wiki/Bayesian_optimization
Optunahttps://optuna.org/
Data Splitshttps://machinelearningmastery.com/difference-test-validation-datasets/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#data-splits
Design Patternshttps://en.wikipedia.org/wiki/Software_design_pattern
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#design-patterns
Directed-Acyclic Graphhttps://en.wikipedia.org/wiki/Directed_acyclic_graph
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#directed-acyclic-graph
PyInvokehttps://www.pyinvoke.org/
Airflowhttps://airflow.apache.org/
Dagsterhttps://dagster.io/
Prefecthttps://www.prefect.io/
Metaflowhttps://metaflow.org/
ZenMLhttps://zenml.io/
Program Servicehttps://en.wikipedia.org/wiki/Systemd
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#program-service
Singletonhttps://en.wikipedia.org/wiki/Singleton_pattern
Global Variablehttps://en.wikipedia.org/wiki/Global_variable
Componenthttps://github.com/stuartsierra/component
Clojure mounthttps://github.com/tolitius/mount
Soft Codinghttps://en.wikipedia.org/wiki/Softcoding
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#soft-coding
SOLID Principleshttps://en.wikipedia.org/wiki/SOLID
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#solid-principles
Pydantic Tagged Unionshttps://docs.pydantic.dev/dev-v2/usage/types/unions/#discriminated-unions-aka-tagged-unions
Python Powershttps://realpython.com/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#python-powers
Context Managerhttps://docs.python.org/3/library/contextlib.html
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#context-manager
Monadhttps://en.wikipedia.org/wiki/Monad_(functional_programming)
Python Packagehttps://packaging.python.org/en/latest/tutorials/packaging-projects/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#python-package
Software Engineeringhttps://en.wikipedia.org/wiki/Software_engineering
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#software-engineering
Code Typinghttps://docs.python.org/3/library/typing.html
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#code-typing
typing modulehttps://docs.python.org/3/library/typing.html
mypyhttps://mypy-lang.org/
Config Typinghttps://docs.pydantic.dev/latest/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#config-typing
Dataframe Typinghttps://pandera.readthedocs.io/en/stable/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#dataframe-typing
Object Orientedhttps://en.wikipedia.org/wiki/Object-oriented_programming
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#object-oriented
polymorphismhttps://en.wikipedia.org/wiki/Polymorphism_(computer_science)
abc modulehttps://docs.python.org/3/library/abc.html
Semantic Versioninghttps://semver.org/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#semantic-versioning
Testing Trickshttps://en.wikipedia.org/wiki/Software_testing
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#testing-tricks
Parallel Testinghttps://pytest-xdist.readthedocs.io/en/stable/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#parallel-testing
pytest-xdist pluginhttps://pytest-xdist.readthedocs.io/en/stable/
Test Fixtureshttps://docs.pytest.org/en/latest/explanation/fixtures.html
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#test-fixtures
fixtureshttps://docs.pytest.org/en/latest/explanation/fixtures.html
VS Codehttps://code.visualstudio.com/
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#vs-code
Code Workspacehttps://code.visualstudio.com/docs/editor/workspaces
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#code-workspace
Code Workspacehttps://code.visualstudio.com/docs/editor/workspaces
GitHub Copilothttps://github.com/features/copilot
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#github-copilot
GitHub Copilothttps://github.com/features/copilot
VSCode VIMhttps://marketplace.visualstudio.com/items?itemName=vscodevim.vim
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https://github.com/krzjoa/awesome-python-data-science#readmehttps://github.com/krzjoa/awesome-python-data-science#readme
https://github.com/ml-tooling/best-of-ml-pythonhttps://github.com/ml-tooling/best-of-ml-python
https://github.com/ml-tooling/best-of-pythonhttps://github.com/ml-tooling/best-of-python
https://github.com/ml-tooling/best-of-python-devhttps://github.com/ml-tooling/best-of-python-dev
https://github.com/vinta/awesome-pythonhttps://github.com/vinta/awesome-python
https://patch-diff.githubusercontent.com/MNIKIEMA/mlops-python-package#aimlmlops
https://github.com/josephmisiti/awesome-machine-learninghttps://github.com/josephmisiti/awesome-machine-learning
https://github.com/visenger/awesome-mlopshttps://github.com/visenger/awesome-mlops
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