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Python Data Analysis Second by Idris Ivan (12 results)
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Python Data Analysis - Second Edition: Data manipulation and complex data analysis with Python
Language: English
Published by Packt Publishing (edition 2nd ed.), 2017
ISBN 10: 1787127486 ISBN 13: 9781787127487
Paperback. Condition: Good. 2nd ed. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Condition: New.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Python Data Analysis - Second Edition
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Python Data Analysis - Second Edition
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 44.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Python Data Analysis - Second Edition: Data manipulation and complex data analysis with Python
Language: English
Published by Packt Publishing 2017-03, 2017
ISBN 10: 1787127486 ISBN 13: 9781787127487
PF. Condition: New.
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Python Data Analysis - Second Edition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Python Data Analysis - Second Edition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New. Über den AutorrnrnArmando Fandango creates AI empowered products by leveraging his expertise in deep learning, machine learning, distributed computing, and computational methods and has provided thought leadership roles as Chief Data Scient.
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Taschenbuch. Condition: Neu. Python Data Analysis - Second Edition | Data manipulation and complex data analysis with Python | Ivan Idris (u. a.) | Taschenbuch | Englisch | 2017 | Packt Publishing | EAN 9781787127487 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn how to apply powerful data analysis techniques with popular open source Python modulesKey FeaturesFind, manipulate, and analyze your data using the Python 3.5 librariesPerform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python codeAn easy-to-follow guide with realistic examples that are frequently used in real-world data analysis projects.Book DescriptionData analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks.With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis.The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries.What you will learnInstall open source Python modules such NumPy, SciPy, Pandas, stasmodels, scikit-learn,theano, keras, and tensorflow on various platformsPrepare and clean your data, and use it for exploratory analysisManipulate your data with PandasRetrieve and store your data from RDBMS, NoSQL, and distributed filesystems such as HDFS and HDF5Visualize your data with open source libraries such as matplotlib, bokeh, and plotlyLearn about various machine learning methods such as supervised, unsupervised, probabilistic, and BayesianUnderstand signal processing and time series data analysisGet to grips with graph processing and social network analysis.
