Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter by Wes McKinney, Wes McKinney

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
Wes McKinney, Wes McKinney
Page: 579
Format: pdf, ePub, mobi, fb2
ISBN: 9781098104030
Publisher: O'Reilly Media, Incorporated
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

The first 20 hours free ebook download Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter PDB 9781098104030 by Wes McKinney, Wes McKinney

Overview

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 computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

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