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Written by Wes McKinney, the founder of the Python pandas project, this book details the specific details and basic points of using Python to manipulate, process, clean, and organize data. The second edition has been fully revised and updated for Python 3.6, covering the new versions of pandas, NumPy, IPython, and Jupyter, and adding a large number of practical examples to help you efficiently solve a range of data analysis problems.

Data Analysis Using Python PDF Download

This article mainly introduces the details of data analysis in Python and analyzes the data. Data analysis refers to the processing and analysis of collected data using appropriate statistical analysis methods and tools according to the purpose of analysis, extracting valuable information and making full use of data.

An updated version of the classic bestseller on Python data analysis, written by Wes McKinney, the founder of the Python pandas project. Since the first edition was published in 2012, this book has quickly become the authoritative guide in the field, and in order to keep up with the times, the author continues to update the content of the book to abandon some outdated and incompatible tools and add new content to introduce new features, new tools and methods. The third edition has been updated for Python 3.10 and pandas 1.4, and shows readers how to efficiently solve a range of data analysis problems through practical explanations and real-world examples. Readers will learn new versions of pandas, NumPy, IPython, and Jupyter while reading.