Isbn: 9781484242452 - numerical python: scientific computing and data science applications with numpy, scipy and matplotlib (7 risultati)

- Brossura
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 12,20
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibile
Paperback. Condizione: Good. Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning.What You'll LearnWork with vectors and matrices using NumPyPlot and visualize data with MatplotlibPerform data analysis tasks with Pandas and SciPyReview statistical modeling and machine learning with statsmodels and scikit-learnOptimize Python code using Numba and CythonWho This Book Is ForDevelopers who want to understand how to use Python and its related ecosystem for numerical computing.…

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Da: Marlton Books, Bridgeton, NJ, U.S.A.Marlton Books
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Discreto
EUR 9,48
EUR 2,65 spedizioneSpedito in U.S.A.Quantità: 1 disponibile
Condizione: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. paperback Used - Acceptable 2018.

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Da: Big River Books, Powder Springs, GA, U.S.A.Big River Books
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 12,70
EUR 3,52 spedizioneSpedito in U.S.A.Quantità: 1 disponibile
Condizione: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.

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Da: medimops, Berlin, Germaniamedimops
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 40,79
EUR 10,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibile
Condizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

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Da: Untje.com, Roeselare, BelgioUntje.com
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Ottimo
EUR 16,23
EUR 50,00 spedizioneSpedito da Belgio a U.S.A.Quantità: 1 disponibile
Paperback. Condizione: Fine. 2. English Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, SymPy, FEniCS, Matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates computation problem solving and techniques that have applications in such diverse fields as scientific research, engineering, finance, and data analytics. Numerical Python, Second Edition, presents many case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. You Will: Work with vectors and matrices using NumPy Plot and visualize data with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical modeling and machine learning with statsmodels and scikit-learn Optimize Python code using Numba and Cython Related Titles Python Data Analytics Advanced Data Analytics Using Python Practical Machine Learning with Python Python Descriptors. Intro -- Table of Contents -- About the Author -- About the Technical Reviewers -- Introduction -- Chapter 1: Introduction to Computing with Python -- Environments for Computing with Python -- Python -- Interpreter -- IPython Console -- Input and Output Ca.…

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Da: DeckleEdge LLC, Albuquerque, NM, U.S.A.DeckleEdge LLC
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EUR 78,46
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibile
paperback. Condizione: new.

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Da: GoldBooks, Denver, CO, U.S.A.GoldBooks
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 73,48
EUR 4,85 spedizioneSpedito in U.S.A.Quantità: 1 disponibile
Paperback. Condizione: new. New Copy. Customer Service Guaranteed.