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Ajouter au panierPaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Ajouter au panierEtat : New. pp. 296.
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Ajouter au panierEtat : New. pp. 296.
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Ajouter au panierEtat : New. pp. 296.
Vendeur : ALLBOOKS1, Direk, SA, Australie
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Langue: anglais
Edité par LAP Lambert Academic Publishing|Manning Publications, 2020
ISBN 10 : 1617296236 ISBN 13 : 9781617296239
Vendeur : moluna, Greven, Allemagne
EUR 47,77
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Ajouter au panierKartoniert / Broschiert. Etat : New. With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You ll get familiar with Python s functional built-ins like the functools operator and ite.
Langue: anglais
Edité par Manning Publications Jan 2020, 2020
ISBN 10 : 1617296236 ISBN 13 : 9781617296239
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 59,22
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the tools library.Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, you'll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features- An introduction to functional and parallel programming- Data science workflow- Profiling code for better performance- Fulfilling different quality objectives for a single unifying task- Python multiprocessing- Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills.About the technologyPython is a data scientist's dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing.