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Add to basketPaperback. Condition: 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.
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Add to basketCondition: Very Good. 1747197332. 5/14/2025 4:35:32 AM.
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Paperback. Condition: Good. Book contains highlighting from previous owner. Book contains markings and notes from previous owner. Otherwise in great condition. ; - We're committed to your satisfaction. We offer free returns and respond promptly to all inquiries. Your item will be carefully wrapped in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
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Published by Packt Publishing 10/31/2009, 2009
ISBN 10: 1847197906 ISBN 13: 9781847197900
Language: English
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Matplotlib for Python Developers 1.23. Book.
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Add to basketCondition: New. In.
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Add to basketCondition: New. KlappentextProviding appealing plots and graphs is an essential part of various fields such as scientific research, data analysis, and so on. Matplotlib, the Python 2D plotting library, is used to produce publication-quality figures in a.
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Add to basketPaperback. Condition: Like New. Like New. book.
Published by Packt Publishing Limited, 2009
ISBN 10: 1847197906 ISBN 13: 9781847197900
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Packt Publishing Limited, 2009
ISBN 10: 1847197906 ISBN 13: 9781847197900
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 586.
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Providing appealing plots and graphs is an essential part of various fields such as scientific research, data analysis, and so on. Matplotlib, the Python 2D plotting library, is used to produce publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. This book explains creating various plots, histograms, power spectra, bar charts, error charts, scatter-plots and much more using the powerful Matplotlib library to get impressive out-of-the-box results.