Description: Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd EditionGet 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
Price: 49.99 USD
Location: Dayton, Ohio
End Time: 2024-09-24T00:52:26.000Z
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Item Specifics
All returns accepted: ReturnsNotAccepted
Publication Year: 2022
Type: Textbook
Format: Trade Paperback
Subject Area: Computers
Language: English
Publication Name: Python for Data Analysis: Data wrangling, etc
Author: Wes Mckinney
Publisher: O'reilly Media, Incorporated
Subject: General, Data Processing, Databases / Data Mining, Programming Languages / Python
Number of Pages: 561 Pages
