Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. 2nd Edition

Descripción:

Second edition of the classic Python for data analysis. Condition: New
Master the tools and techniques required to effectively manipulate, clean, and process data using Python.

Authored by Wes McKinney, the creator of the pandas library, this essential guide is the canonical resource for analysts, data scientists, and anyone looking to leverage Python for practical data wrangling.

This fully updated second edition features:

Comprehensive Coverage: Get up to speed with the latest versions of pandas, NumPy, and IPython.

Data-Centric Focus: Learn robust techniques for loading, transforming, merging, and reshaping data sets?the critical tasks that form the foundation of any data project.

Real-World Examples: Apply your skills immediately with clear, practical examples across various domains, including time series analysis and data aggregation.

If you want to become proficient in using Python's powerful ecosystem for exploratory data analysis (EDA), this book is your indispensable desk reference. N° de ref. del artículo ABE-1760019698156

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Sinopsis:

Acerca del autor: Wes McKinney is the main author of pandas, the popular open sourcePython library for data analysis. Wes is an active speaker andparticipant in the Python and open source communities. He worked as a quantitative analyst at AQR Capital Management and Python consultant before founding DataPad, a data analytics company, in 2013. He graduated from MIT with an S.B. in Mathematics.