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citas/references.bib

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@book{CasellaBerger2024,
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author = {Casella, George and Berger, Roger L.},
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title = {Statistical Inference},
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edition = {2},
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year = {2024},
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publisher = {Chapman \& Hall/CRC},
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@book{Matthes2022Python,
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author = {Eric Matthes},
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title = {Python Crash Course},
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edition = {3rd},
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year = {2022},
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publisher = {No Starch Press},
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language = {English}
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}
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@book{Hastie2009,
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author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
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title = {The Elements of Statistical Learning: Data Mining, Inference, and Prediction},
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edition = {2},
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year = {2009},
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publisher = {Springer}
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@book{Sweigart2025Automate,
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author = {Al Sweigart},
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title = {Automate the Boring Stuff with Python},
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edition = {3rd},
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year = {2025},
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publisher = {No Starch Press},
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url = {https://automatetheboringstuff.com/3e/},
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language = {English}
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}
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@book{Gelman2013,
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author = {Gelman, Andrew and Carlin, John B. and Stern, Hal S. and Dunson, David B. and Vehtari, Aki and Rubin, Donald B.},
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title = {Bayesian Data Analysis},
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edition = {3},
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year = {2013},
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publisher = {CRC Press}
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@book{Bhargava2024Grokking,
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author = {Aditya Y. Bhargava},
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title = {Grokking Algorithms},
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edition = {2nd},
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year = {2024},
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publisher = {Manning Publications},
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language = {English}
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}
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@book{Lott2022Functional,
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author = {Steven F. Lott},
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title = {Functional Python Programming},
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edition = {3rd},
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year = {2022},
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publisher = {Packt Publishing}
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}
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@book{Jaynes2003,
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author = {Jaynes, E. T.},
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title = {Probability Theory: The Logic of Science},
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year = {2003},
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publisher = {Cambridge University Press}
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@book{Mertz2015Functional,
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author = {David Mertz},
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title = {Functional Programming in Python},
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year = {2015},
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publisher = {O'Reilly Media}
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}
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@book{Rudin1976,
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author = {Rudin, Walter},
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title = {Principles of Mathematical Analysis},
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@book{Sweigart2020Beyond,
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author = {Al Sweigart},
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title = {Beyond the Basic Stuff with Python},
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year = {2020},
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publisher = {No Starch Press},
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url = {https://inventwithpython.com/beyond/}
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}
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@book{Kalb2022Object,
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author = {Irv Kalb},
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title = {Object-Oriented Python},
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year = {2022},
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publisher = {No Starch Press}
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}
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@book{Lott2021Python,
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author = {Steven F. Lott and Dusty Phillips},
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title = {Python Object-Oriented Programming},
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edition = {4th},
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year = {2021},
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publisher = {Packt Publishing}
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}
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@book{Downey2024ThinkPython,
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author = {Allen B. Downey},
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title = {Think Python},
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edition = {3},
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year = {1976},
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publisher = {McGraw-Hill}
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year = {2024},
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publisher = {O'Reilly Media},
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url = {https://allendowney.github.io/ThinkPython/}
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}
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@book{Sweigart2021Big,
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author = {Al Sweigart},
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title = {The Big Book of Small Python Projects},
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year = {2021},
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publisher = {No Starch Press},
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url = {https://inventwithpython.com/bigbookpython/}
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}
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@book{Vaughan2019Impractical,
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author = {Lee Vaughan},
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title = {Impractical Python Projects},
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year = {2019},
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publisher = {No Starch Press}
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}
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@online{Sturtz2024FunctionalPython,
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author = {Sturtz, John},
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title = {Functional Programming in Python: When and How to Use It},
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year = {2024},
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url = {https://realpython.com/python-functional-programming/},
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note = {Real Python}
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}
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@book{Geron2025HandsOnML,
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author = {Géron, Aurélien},
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title = {Hands-On Machine Learning with Scikit-Learn and PyTorch},
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edition = {4},
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year = {2025},
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publisher = {O'Reilly Media}
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}
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@online{HoltzPythonGraphGallery,
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author = {Holtz, Yan},
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title = {Python Graph Gallery},
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url = {https://python-graph-gallery.com},
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note = {s.f.}
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}
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@book{JanssensNieuwdorp2025Polars,
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author = {Janssens, Jeroen and Nieuwdorp, Timo},
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title = {Python Polars: The Definitive Guide},
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year = {2025},
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publisher = {O'Reilly Media}
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}
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@book{Kakegawa2024PolarsCookbook,
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author = {Kakegawa, Yuki},
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title = {Polars Cookbook},
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year = {2024},
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publisher = {Packt Publishing}
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}
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@online{PlotnineDocs,
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author = {{Kibirige, H.}},
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title = {Documentación de Plotnine},
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url = {https://plotnine.org/},
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note = {s.f.}
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}
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@online{PolarsUserGuide,
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author = {{Polars Developers}},
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title = {Polars User Guide},
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url = {https://docs.pola.rs/},
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note = {s.f.}
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}
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@online{Rougier2021ScientificViz,
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author = {Rougier, Nicolas P.},
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title = {Scientific Visualization: Python + Matplotlib},
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year = {2021},
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url = {https://github.com/rougier/scientific-visualization-book}
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}
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@online{ScikitLearnDocs,
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author = {{Scikit-learn Developers}},
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title = {Documentación de Scikit-learn},
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url = {https://scikit-learn.org},
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note = {s.f.}
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}
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@online{StatsmodelsDocs,
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author = {{Statsmodels Developers}},
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title = {Documentación de Statsmodels},
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url = {https://www.statsmodels.org},
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note = {s.f.}
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}
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@online{AstralUvDocs,
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author = {{Astral}},
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title = {Documentación de uv},
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url = {https://docs.astral.sh/uv},
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note = {s.f.}
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}
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@online{AstralRuffDocs,
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author = {{Astral}},
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title = {Documentación de Ruff},
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url = {https://docs.astral.sh/ruff/},
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note = {s.f.}
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}
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@book{Moure2024GitGitHub,
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author = {Moure, Brais},
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title = {Git y GitHub desde cero},
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edition = {2},
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year = {2024},
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publisher = {Leanpub}
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}
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@book{Skoulikari2021LearningGit,
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author = {Skoulikari, Anna},
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title = {Learning Git},
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year = {2021},
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publisher = {O'Reilly Media}
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}
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@online{PreCommitDocs,
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author = {{Sottile, Anthony}},
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title = {Documentación de pre-commit},
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url = {https://pre-commit.com/},
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note = {s.f.}
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}
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@book{Ramalho2022FluentPython,
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author = {Ramalho, Luciano},
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title = {Fluent Python},
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edition = {2},
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year = {2022},
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publisher = {O'Reilly Media}
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}
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@book{Stephenson2019PythonWorkbook,
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author = {Stephenson, Ben},
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title = {The Python Workbook},
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edition = {2},
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year = {2019},
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publisher = {Springer Cham}
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}

informacion/aprobacion.qmd

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title: Aprobación
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---
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Se explican los criterios de aprobación, regularidad y promoción.
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Se pueden incluir:
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## Instancias de evaluación
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* 📝 **Examen parcial**: individual y en computadora.
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Hay un recuperatorio, de similares características, que reemplaza la nota del parcial.
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* 🧠🤝 **Trabajos prácticos** (2): se realizan tanto en clase como fuera de ella,
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en grupos de dos o tres integrantes. Se entrega el código desarrollado, un resumen ejecutivo y se presenta oralmente en clase.
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Todas las instancias se califican en una escala de 0 a 10 y se aprueban con 6.
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## Condiciones de aprobación
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**Promoción**
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: Quienes aprueben el parcial individual (con nota $\text{PI}$), el trabajo práctico grupal 1
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(con nota $\text{TP1}$) y el trabajo práctico grupal 2 (con nota $\text{TP2}$),
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adquieren la condición de estudiante promovido y su nota final se calcula como
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$\frac{1}{3} \times (\text{PI} + \text{TP1} + \text{TP2})$.
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**Regularidad**
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: Quienes aprueben el parcial individual (o su recuperatorio) y solo uno de los trabajos prácticos grupales,
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adquieren la condición de estudiante regular.
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**Libres**
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: Quienes no aprueben el parcial individual (ni su recuperatorio) o ninguno de los dos trabajos prácticos grupales,
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adquieren la condición de estudiante libre.
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- Porcentaje de asistencia requerido.
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- Entregas obligatorias y fechas clave.
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- Exámenes parciales y recuperatorios.
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- Modalidad de evaluación final.

informacion/bibliografia.qmd

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- section-bibliographies
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citeproc: false
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section-bibliographies:
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level: 2
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level: 3
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minlevel: 2
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---
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En esta sección se incluye la bibliografía, la cual puede dividirse en diferentes
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subsecciones gracias al filtro [section-bibliographies](https://github.com/pandoc-ext/section-bibliographies).
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## Principal
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Para generar la bibliografía de manera automática, se utilizan *divs* invisibles en los
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que se incluyen los identificadores BibTeX que se desean citar,
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por ejemplo `@CasellaBerger2024`, `@Gelman2013`, etc.
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### Unidad 1
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Estos identificadores deben corresponder a una entrada en el archivo `.bib`,
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el cual se especifica en el archivo de configuración `_quarto.yml`.
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<div style="visibility: hidden; height: 0;">
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@Downey2024ThinkPython
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@Matthes2022Python
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@Sweigart2025Automate
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</div>
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## Principal
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### Unidad 2
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<div style="visibility: hidden; height: 0;">
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@Kalb2022Object
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@Lott2021Python
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@Sweigart2020Beyond
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</div>
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### Unidad 3
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<div style="visibility: hidden; height: 0;">
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@Bhargava2024Grokking
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@Lott2022Functional
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@Mertz2015Functional
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@Sturtz2024FunctionalPython
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@Sweigart2020Beyond
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</div>
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### Unidad 4
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<div style="visibility: hidden; height: 0;">
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@CasellaBerger2024
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@Hastie2009
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@Gelman2013
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@Geron2025HandsOnML
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@HoltzPythonGraphGallery
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@JanssensNieuwdorp2025Polars
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@Kakegawa2024PolarsCookbook
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@PlotnineDocs
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@PolarsUserGuide
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@Rougier2021ScientificViz
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@ScikitLearnDocs
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@StatsmodelsDocs
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</div>
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### Unidad 5
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<div style="visibility: hidden; height: 0;">
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@AstralRuffDocs
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@AstralUvDocs
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@Moure2024GitGitHub
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@Skoulikari2021LearningGit
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@PreCommitDocs
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</div>
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## Complementaria
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<div style="visibility: hidden; height: 0;">
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@Jaynes2003
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@Rudin1976
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@Ramalho2022FluentPython
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@Stephenson2019PythonWorkbook
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@Sweigart2021Big
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@Vaughan2019Impractical
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</div>

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