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Condizione: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. paperback Used - Acceptable 2018.
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Da: BooksRun, Philadelphia, PA, U.S.A.
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Condizione: As New. Unread book in perfect condition.
Editore: Apress
Da: Academic Book Solutions, Medford, NY, U.S.A.
paperback. Condizione: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 28,85
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Aggiungi al carrelloPaperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Editore: Apress, 2024
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Fine.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 33,90
Quantità: Più di 20 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 36,40
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EUR 77,84
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Da: Studibuch, Stuttgart, Germania
EUR 38,14
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Aggiungi al carrellopaperback. Condizione: Sehr gut. 723 Seiten; 9781484242452.2 Gewicht in Gramm: 2.
Da: preigu, Osnabrück, Germania
EUR 32,75
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Numerical Python | Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib | Robert Johansson | Taschenbuch | xx | Englisch | 2024 | Apress | EAN 9798868804120 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: medimops, Berlin, Germania
EUR 37,71
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: 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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 35,30
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matplotlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more.Numerical Python, Third Edition, presents many case study examples of applications in fundamental scientific computing disciplines, as well as in data science and statistics. This fully revised edition, updated for each library's latest version, demonstrates Python's power for rapid development and exploratory computing due to its simple and high-level syntax and many powerful libraries and tools for computation and 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 NumPyReview Symbolic computing with SymPyPlot and visualize data with MatplotlibPerform data analysis tasks with Pandas and SciPyUnderstand 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 ecosystem of libraries for scientific computing and data analysis.