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portada Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Jupyter
Type
Physical Book
Author
Publisher
Year
2022
Language
English
Pages
579
Format
Paperback
Dimensions
17.5 x 23.1 x 3.0 cm
Weight
0.94 kg.
ISBN13
9781098104030
Edition No.
0003
Categories

Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Jupyter

Wes McKinney (Author) · O'Reilly Media · Paperback

Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Jupyter - McKinney, Wes

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Synopsis "Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Jupyter "

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

Customers reviews

Sebastián Espinosa Wednesday, November 02, 2022
Verified Purchase

The book is amazing. I would recommend to the reader first learn some basics from python before jumping right into the reading of the book, otherwise the reading could be really tough

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