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Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter
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Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python.
Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter
Item #: 153566928

Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter

88% of respondents would recommend this to a friend

Item #: 153566928

HNL 2122

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What Stands Out

Comprehensive Coverage
This edition offers an in-depth exploration of pandas, NumPy, and Jupyter, ensuring readers grasp advanced data analysis techniques to enhance their analytical skills effectively.
Practical Examples
Filled with real-world examples, the book equips readers with hands-on experience, empowering them to tackle complex data manipulation problems with confidence.
Updated Content
With the latest tools and techniques, this edition reflects current trends in data science, making it a valuable resource for aspiring data analysts and professionals alike.

Product Details

Shop Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter online at a best price in Honduras. 109810403X
  • Definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python
  • Updated for Python 3.10 and pandas 1.4
  • Packed with practical case studies for effective data analysis
  • Written by Wes McKinney, creator of the Python pandas project
  • Ideal for analysts new to Python and programmers new to data science
  • Includes data files and related material on GitHub
Publisher O'Reilly Media
Publication date 26 Aug. 2022
Edition 3rd
Language English
Print length 550 pages
ISBN-10 109810403X
ISBN-13 978-1098104030
Item weight 885 g
Dimensions 17.78 x 3.81 x 22.86 cm

Who Should Buy?

Suitable For
  • Aspiring Data Analysts

    Ideal for beginners seeking to learn data manipulation techniques using pandas and NumPy effectively.

  • Data Science Students

    Perfect for students who want a practical resource to supplement their coursework in data analysis.

  • Professionals Reskilling

    Useful for individuals transitioning to data-related roles and needing to learn essential Python libraries.

Not Suitable For
  • Complete Beginners

    Not suitable for those with no programming background as it requires some familiarity with Python.

Product Description

Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter

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Customer Questions & Answers

  • Question: Who is the author of this book?

    Answer: The author of the book is Wes McKinney, the creator of the Python pandas project.
  • Question: Is this book useful for analysts and programmers new to data science?

    Answer: Yes, the book is ideal for analysts new to Python and for Python programmers new to data science and scientific computing.
  • Question: Are there practical examples in the book?

    Answer: Yes, the book is packed with practical case studies and real-world examples to demonstrate key concepts.

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Features & Benefits

  • Practical guide for solving data analysis problems in Python with latest versions of pandas, NumPy, and Jupyter
  • Ideal for analysts new to Python and for Python programmers new to data science and scientific computing
  • Includes practical case studies and real-world examples to demonstrate key concepts
  • Learn how to manipulate, process, clean, and crunch datasets with flexible tools
  • Create informative visualizations with matplotlib and analyze time series data
  • Data files and related material available on GitHub

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