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Python for Data Analysis

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size

22.9 x 17.8 x 2.8 cm

Product Information

Genre

Databases & Big Data

Author Name

Wes McKinney

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.

Material

Hardcover

Ideal for

Unisex

Code

978-9355421906 (ISBN CODE)

No

{" of Pages":"584 pages"}

Country Of Origin

India

Product Description

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.
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