Python For Data Analysis Third Edition By Wes Mckinney Hardcover

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size

22.9 x 17.8 x 2.8 cm

Product Information

Brand Name

Books Kingdom

Ideal For

General Readers, Fiction Lovers, Mythology & Historical Fiction Readers, Indian Mythology Enthusiasts, Young Adults (YA) & Adults, College Students, Competitive Exam Aspirants (General Reading / Culture), Gift Purpose (Books Gift Set), Spiritual & Philosophy Interest Readers, Library / Book Collection Buyers

Material

Hardcover

Country Of Origin

India

Pack Of

About Author

Since 2007, I Have Been Creating Fast, Easy-To-Use Data Wrangling And Statistical Computing Tools, Mostly In The Python Programming Language. I Am Best Known For Creating The Pandas Project And Writing The Book Python For Data Analysis. I Am Also A Contributor To The Apache Arrow, Kudu, And Parquet Projects Within The Apache Software Foundation. I Am Currently The Cto And Co-Founder Of Voltron Data, Which Builds Accelerated Computing Technologies Powered By Apache Arrow. I Previously Worked For Ursa Labs (Within Rstudio / Posit), Two Sigma, Cloudera, Datapad, And Aqr Capital Management.

Author Name

Wes Mckinney

Genre

Databases & Big Data

No Of Pages

584

Publisher

Independent Publisher

Product Description

Premium Quality: This hardcover third edition of Python for Data Analysis spans 584 pages and delivers a definitive, up-to-date guide to data wrangling and statistical computing using Python.

Product Design: The book is structured to progress from foundational Python tools to advanced data manipulation techniques, making complex topics in big data and analysis approachable for a broad range of readers.

User Experience: Authored by Wes McKinney, the creator of the pandas library and a leading contributor to Apache Arrow, Kudu, and Parquet, the text offers practitioner-level insight grounded in real-world data science workflows.

Versatile Occasion: Equally effective as a university course textbook, a self-study guide for data professionals, or a desk reference for analysts and engineers working with large datasets in Python.

Ideal For: Best suited to college students, data science and engineering professionals, competitive exam aspirants in technology fields, and library buyers seeking a trusted resource in databases and big data.

Lifestyle Essential: A must-have for anyone serious about data analysis with Python, this Books Kingdom title from one of the field's foremost practitioners supports both academic learning and professional growth in data-driven careers.

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