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Python for Data Analysis - 3rd Edition by  Wes McKinney (Paperback) - 1 of 1

Python for Data Analysis - 3rd Edition by Wes McKinney (Paperback)

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About this item

Highlights

  • Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python.
  • Author(s): Wes McKinney
  • 579 Pages
  • Computers + Internet, Databases

Description



Book Synopsis



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
Dimensions (Overall): 6.9 Inches (H) x 9.1 Inches (W) x 1.2 Inches (D)
Weight: 2.07 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 579
Genre: Computers + Internet
Sub-Genre: Databases
Publisher: O'Reilly Media
Format: Paperback
Author: Wes McKinney
Language: English
Street Date: September 20, 2022
TCIN: 86086263
UPC: 9781098104030
Item Number (DPCI): 247-17-2462
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1.2 inches length x 9.1 inches width x 6.9 inches height
Estimated ship weight: 2.07 pounds
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Q: Who is the author of the book?

submitted by AI Shopping Assistant - 17 days ago
  • A: The book is authored by Wes McKinney, the creator of the pandas project.

    submitted byAI Shopping Assistant - 17 days ago
    Ai generated

Q: What topics are included in the case studies?

submitted by AI Shopping Assistant - 17 days ago
  • A: The case studies cover a broad range of data analysis problems with practical solutions.

    submitted byAI Shopping Assistant - 17 days ago
    Ai generated

Q: What tools will I learn to use in this book?

submitted by AI Shopping Assistant - 17 days ago
  • A: You will learn to use tools like pandas, NumPy, and Jupyter for data analysis.

    submitted byAI Shopping Assistant - 17 days ago
    Ai generated

Q: What programming language is primarily covered in this book?

submitted by AI Shopping Assistant - 17 days ago
  • A: The book focuses primarily on Python and its data analysis libraries.

    submitted byAI Shopping Assistant - 17 days ago
    Ai generated

Q: Is this book suitable for beginners?

submitted by AI Shopping Assistant - 17 days ago
  • A: Yes, it is ideal for analysts new to Python and Python programmers new to data science.

    submitted byAI Shopping Assistant - 17 days ago
    Ai generated

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