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Condition: 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.
Language: English
Published by Packt Publishing Limited, 2009
ISBN 10: 1847197906 ISBN 13: 9781847197900
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Couverture souple. Condition: Neuf.
Language: English
Published by Packt Publishing Limited, 2009
ISBN 10: 1847197906 ISBN 13: 9781847197900
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by Packt Publishing Limited, 2009
ISBN 10: 1847197906 ISBN 13: 9781847197900
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Quantity: Over 20 available
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.
Language: English
Published by Packt Publishing Limited, 2009
ISBN 10: 1847197906 ISBN 13: 9781847197900
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Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Taschenbuch. Condition: Neu. Matplotlib for Python Developers | Sandro Tosi | Taschenbuch | Kartoniert / Broschiert | Englisch | 2009 | Packt Publishing | EAN 9781847197900 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. 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.