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  1. 1
    Ata uhi

    Statistics, data Mining and Machine Learning in Astronomy. A practical phyton guide for the analysis of survey data mā Ivezić, Željko

    I whakaputaina 2020
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  2. 2
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    Big Data con Python. Recolección, almacenamiento y proceso. mā Caballero Roldán, Rafael

    I whakaputaina 2018
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  3. 3
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    Algoritmos genéticos con Phyton. Un enfoque práctico para resolver problemas de ingeniería mā Gutierrez Reina, Daniel

    I whakaputaina 2021
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  4. 4
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    Aprende a programar con Python mā Luján Castillo, José Dimas

    I whakaputaina 2019
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  5. 5
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    Hacking ético con herramientas Python mā Ortega Candel, José Manuel

    I whakaputaina 2018
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  6. 6
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    Interactive Data Visualization with Python. mā Belorkar, Abha, Guntuku, Sharath Chandra, Hora, Shubhangi, Kumar, Anshu

    I whakaputaina 2020
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  7. 7
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    Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Jupyter mā McKinney, Wes

    I whakaputaina 2022
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  8. 8
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    Python Programming and Numerical Methods. A Guide for Engineers and Scientists. mā Kong, Qingkai, Siauw, Timmy, Bayen, Alexander M.

    I whakaputaina 2021
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  9. 9
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    Numerical methods in physics with Python. mā Gezerlis, Alex

    I whakaputaina 2020
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  10. 10
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    Practical numerical and scientific computing with MATLAB® and Python. mā Bashier, Eihab B. M.

    I whakaputaina 2020
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  11. 11
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    Introduction to Machine Learning with Python. mā Chopra, Deepti, Khurana, Roopal

    I whakaputaina 2023
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  12. 12
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    Introduction to machine learning with Python : a guide for data scientists / mā Müller, Andreas C., Guido, Sarah

    I whakaputaina 2016
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  13. 13
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    Estadística práctica para ciencia de datos con R y Python. mā Bruce, Peter

    I whakaputaina 2022
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