Data science from scratch : first principles with Python
(Book)

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Author
Published
Sebastopol, CA : O'Reilly Media, [2019].
Edition
Second edition.
Physical Desc
xvii, 384 pages : illustrations ; 24 cm
Status
PCPLS - Valparaiso Public Library - Adult Nonfiction
005.75 GRUS
1 available

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PCPLS - South Haven Public Library - Adult Nonfiction005.75 GRUSIn Transit
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More Details

Published
Sebastopol, CA : O'Reilly Media, [2019].
Format
Book
Edition
Second edition.
Language
English

Notes

Bibliography
Includes bibliographical references and index.
Description
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out. -- ,Provided by publisher.

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Citations

APA Citation, 7th Edition (style guide)

Grus, J. (2019). Data science from scratch: first principles with Python (Second edition.). O'Reilly Media.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Grus, Joel. 2019. Data Science From Scratch: First Principles With Python. O'Reilly Media.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Grus, Joel. Data Science From Scratch: First Principles With Python O'Reilly Media, 2019.

MLA Citation, 9th Edition (style guide)

Grus, Joel. Data Science From Scratch: First Principles With Python Second edition., O'Reilly Media, 2019.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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