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Verlag: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200238162 ISBN 13: 9786200238160
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200238162 ISBN 13: 9786200238160
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200238162 ISBN 13: 9786200238160
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Taschenbuch. Zustand: Neu. Data Science using Python | S Berlin Shaheema (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786200238160 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Apr 2022, 2022
ISBN 10: 6200238162 ISBN 13: 9786200238160
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Python is a first-class tool mainly because of its libraries for storing, manipulating and gaining insight from data. Several resources exist for individual pieces of this data science, but only with the Python Data Science get them all .Python has so many powerful libraries like numpy, Pandas, MatPlotLib, and Seaborn which you can use for your different data manipulation and visualization.This book will teach you how to use Pandas for data manipulation and how to use core plotting python libraries like MatPlotLib and Seaborn. With this book, you'll learn how to use: Google Colab, Jupyter : provide computational environments for data scientists using PythonNumPy: includes the ndarray for efficient storage and manipulation in Python Pandas: features the DataFrame for efficient storage and manipulation of data in PythonMatplotlib: for data visualizations in Python Scikit-Learn: for efficient and clean Python implementations by using machine learning algorithms. 248 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200238162 ISBN 13: 9786200238160
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ISBN 10: 6200238162 ISBN 13: 9786200238160
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Apr 2022, 2022
ISBN 10: 6200238162 ISBN 13: 9786200238160
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Python is a first-class tool mainly because of its libraries for storing, manipulating and gaining insight from data. Several resources exist for individual pieces of this data science, but only with the Python Data Science get them all .Python has so many powerful libraries like numpy, Pandas, MatPlotLib, and Seaborn which you can use for your different data manipulation and visualization.This book will teach you how to use Pandas for data manipulation and how to use core plotting python libraries like MatPlotLib and Seaborn. With this book, you'll learn how to use: Google Colab, Jupyter : provide computational environments for data scientists using PythonNumPy: includes the ndarray for efficient storage and manipulation in Python Pandas: features the DataFrame for efficient storage and manipulation of data in PythonMatplotlib: for data visualizations in Python Scikit-Learn: for efficient and clean Python implementations by using machine learning algorithms.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 248 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200238162 ISBN 13: 9786200238160
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Python is a first-class tool mainly because of its libraries for storing, manipulating and gaining insight from data. Several resources exist for individual pieces of this data science, but only with the Python Data Science get them all .Python has so many powerful libraries like numpy, Pandas, MatPlotLib, and Seaborn which you can use for your different data manipulation and visualization.This book will teach you how to use Pandas for data manipulation and how to use core plotting python libraries like MatPlotLib and Seaborn. With this book, you'll learn how to use: Google Colab, Jupyter : provide computational environments for data scientists using PythonNumPy: includes the ndarray for efficient storage and manipulation in Python Pandas: features the DataFrame for efficient storage and manipulation of data in PythonMatplotlib: for data visualizations in Python Scikit-Learn: for efficient and clean Python implementations by using machine learning algorithms.