Python for Data Analysis Book Reviews
Python for Data Analysis by Wes McKinney Book Summary
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.
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples
Book Name | Python for Data Analysis |
Genre | Computers & Internet |
Author | Wes McKinney |
Published | 12 August 2022, Friday |
Language | English |
E-Book Size | 10.42 MB |
Python for Data Analysis (Wes McKinney) Book Reviews 2024
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Download Link | Book Format |
python-for-data-analysis-ebook.pdf | |
python-for-data-analysis-ebook.epub | EPUB |
python-for-data-analysis-ebook.kindle | KINDLE |
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Summary of Python for Data Analysis by Wes McKinney
The Python for Data Analysis book written by Wes McKinney was published on 12 August 2022, Friday in the Computers & Internet category. A total of 66 readers of the book gave the book 0 points out of 5.
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