Sprache: Englisch
Verlag: Addison-Wesley Professional, 2017
ISBN 10: 0134546938 ISBN 13: 9780134546933
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Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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paperback. Zustand: Very Good. Cover and edges may have some wear.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Kuba Libri, Prague, Tschechien
Soft cover. Zustand: As New. AS NEW, SCRATCHED BACKCOVER.
Sprache: Englisch
Verlag: Pearson Education (US), United States, Boston, 2018
ISBN 10: 0134546938 ISBN 13: 9780134546933
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 40,69
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In den WarenkorbPaperback. Zustand: Very Good. The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if youre new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. Work with DataFrames and Series, and import or export data Create plots with matplotlib, seaborn, and pandas Combine datasets and handle missing data Reshape, tidy, and clean datasets so theyre easier to work with Convert data types and manipulate text strings Apply functions to scale data manipulations Aggregate, transform, and filter large datasets with groupby Leverage Pandas advanced date and time capabilities Fit linear models using statsmodels and scikit-learn libraries Use generalized linear modeling to fit models with different response variables Compare multiple models to select the best Regularize to overcome overfitting and improve performance Use clustering in unsupervised machine learning. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Sprache: Englisch
Verlag: Addison-Wesley Professional, 2022
ISBN 10: 0137891156 ISBN 13: 9780137891153
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 49,85
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 3rd edition. 466 pages. 10.00x7.01x0.94 inches. In Stock.
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paperback. Zustand: Gut. 364 Seiten; 9781484209592.3 Gewicht in Gramm: 1.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
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In den WarenkorbZustand: New.
Taschenbuch. Zustand: Neu. Python Data Analytics | With Pandas, NumPy, and Matplotlib | Fabio Nelli | Taschenbuch | xxi | Englisch | 2023 | Apress | EAN 9781484295311 | 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.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 2nd edition. 569 pages. 9.75x7.00x1.25 inches. In Stock.