Research Catalog

Pandas for everyone : Python data analysis

Title
Pandas for everyone : Python data analysis / Daniel Y. Chen.
Author
Chen, Daniel Y.
Publication
  • Boston : Addison-Wesley, [2018]
  • ©2018

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StatusFormatAccessCall NumberItem Location
Book/TextRequest in advance QA76.9.D343 C4573 2018gOff-site

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Details

Description
xxix, 376 pages : illustrations; 24 cm.
Summary
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.
Series Statement
The Pearson Addison-Wesley data and analytics series
Uniform Title
Addison-Wesley data and analytics series.
Subject
  • Data mining
  • Python (Computer program language)
Note
  • Includes index.
Contents
Pandas dataframe basics -- Pandas data structures -- Introduction to plotting -- Data assembly -- Missing data -- Tidy data -- Data types -- Strings and text data -- Apply -- Groupby operations : split-apply-combine -- The datetime data type -- Linear models -- Generalized linear models -- Model diagnostics -- Regularization -- Clustering -- Life outside of pandas -- Toward a self-directed learner.
ISBN
  • 0134546938
  • 9780134546933
LCCN
2017956175
OCLC
  • ocn935986945
  • 935986945
  • SCSB-9216146
Owning Institutions
Columbia University Libraries