Pandas for Everyone: Python Data Analysis

Daniel Chen

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Sprache: Englisch

Verlag: Pearson Education (US), 2018

0134546938 / 9780134546933

Serie: Buch 3 von 14 - Addison-Wesley Data & Analytics

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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 you?re 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 dataCreate plots with matplotlib, seaborn, and pandasCombine datasets and handle missing dataReshape, tidy, and clean datasets so they?re easier to work withConvert data types and manipulate text stringsApply functions to scale data manipulationsAggregate, transform, and filter large datasets with groupbyLeverage Pandas? advanced date and time capabilitiesFit linear models using statsmodels and scikit-learn librariesUse generalized linear modeling to fit models with different response variablesCompare multiple models to select the ?best?Regularize to overcome overfitting and improve performanceUse clustering in unsupervised machine learning.…

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Titel
Pandas for Everyone: Python Data Analysis
Autor
Daniel Chen
Verlag
Pearson Education (US)
Veröffentlichungsjahr
2018
Zustand
Very Good
Einband
Paperback
Sprache
Englisch
ISBN-10
0134546938
ISBN-13
9780134546933
Serie
Buch 3 von 14: Addison-Wesley Data & Analytics

World of Books (was SecondSale)

Montgomery, IL, USA

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AbeBooks-Verkäufer/-in seit 20. Dezember 2007

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