98,15 €
122,69 €
Python Data Science Handbook
98,15 € 
- Išsiųsime per 10–14 d.d.
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all—IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this com…
98.15
2025-06-29 23:59:00
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- Autorius: Jake VanderPlas
- Leidėjas: O'Reilly Media
- Metai: 2023
- Puslapiai: 550
- ISBN-10: 1098121228
- ISBN-13: 9781098121228
- Formatas: 17.7 x 23.3 x 3.2 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -20 % nuolaida šiai knygai su kodu ENG20
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Aprašymas
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all—IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learnEXTRA 20 % nuolaida
98,15 €
122,69 €
Išsiųsime per 10–14 d.d.
Kupono kodas: ENG20
Akcija baigiasi už 3d.07:36:24
Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.
- Autorius: Jake VanderPlas
- Leidėjas: O'Reilly Media
- Metai: 2023
- Puslapiai: 550
- ISBN-10: 1098121228
- ISBN-13: 9781098121228
- Formatas: 17.7 x 23.3 x 3.2 cm, minkšti viršeliai
- Kalba: Anglų
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all—IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learn
Atsiliepimai