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Python 3 and Data Visualization - by  Oswald Campesato (Paperback) - 1 of 1

Python 3 and Data Visualization - by Oswald Campesato (Paperback)

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Highlights

  • Python3 and Data Visualization offers readers a deep dive into the world of Python 3 programming and the art of data visualization.
  • About the Author: Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, NLP, Android, and Python.
  • 280 Pages
  • Computers + Internet,

Description



About the Book



Python 3 and Data Visualization offers readers a deep dive into the world of Python 3 programming and the art of data visualization. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shi



Book Synopsis



Python3 and Data Visualization offers readers a deep dive into the world of Python 3 programming and the art of data visualization. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, seamlessly leading into the world of data visualization using prominent libraries such as Matplotlib. Chapter 6 immerses the reader in Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. The appendix covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. The book also includes companion files with numerous Python code samples and figures. From foundational Python concepts to the intricacies of data visualization, this book serves as a comprehensive resource for both beginners and seasoned professionals.



About the Author



Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Cruz and specializes in Deep Learning, NLP, Android, and Python. He is the author/co-author of over forty-five books including Data Science Fundamentals Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning).
Dimensions (Overall): 9.0 Inches (H) x 7.0 Inches (W) x .6 Inches (D)
Weight: .98 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 280
Genre: Computers + Internet
Publisher: Mercury Learning and Information
Theme: Java
Format: Paperback
Author: Oswald Campesato
Language: English
Street Date: October 26, 2023
TCIN: 1007915226
UPC: 9781683929468
Item Number (DPCI): 247-48-9484
Origin: Made in the USA or Imported
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Estimated ship dimensions: 0.6 inches length x 7 inches width x 9 inches height
Estimated ship weight: 0.98 pounds
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Q: What additional resources are included with the book?

submitted by AI Shopping Assistant - 1 day ago
  • A: The book includes companion files with numerous Python code samples and figures for practical learning.

    submitted byAI Shopping Assistant - 1 day ago
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Q: Who is the author of this book?

submitted by AI Shopping Assistant - 1 day ago
  • A: The author is Oswald Campesato, an adjunct instructor specializing in Deep Learning, NLP, and Python.

    submitted byAI Shopping Assistant - 1 day ago
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Q: What is the target audience for this book?

submitted by AI Shopping Assistant - 1 day ago
  • A: The book is suitable for readers aged 22 and up, including beginners and seasoned professionals.

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Q: What topics are covered in the first chapter?

submitted by AI Shopping Assistant - 1 day ago
  • A: The first chapter covers basic data types, loops, functions, and advanced constructs like dictionaries, sets, and matrices.

    submitted byAI Shopping Assistant - 1 day ago
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Q: Which libraries are used for data visualization in the book?

submitted by AI Shopping Assistant - 1 day ago
  • A: The book utilizes prominent libraries such as Matplotlib and Seaborn for data visualization.

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