Python 3 and Data Visualization - Oswald Campesato

Python 3 and Data Visualization

Buch | Softcover
280 Seiten
2023
Mercury Learning & Information (Verlag)
978-1-68392-946-8 (ISBN)
58,55 inkl. MwSt
A deep dive into the world of Python 3 programming and the art of data visualization. From foundational Python concepts to the intricacies of data visualization, this book serves as a comprehensive resource for both beginners and seasoned professionals.
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.

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).

1: Introduction to Python 3
2: NumPyand Data Visualization
3: Pandas and Data Visualization
4: Pandas and SQL
5:Matplotlib for Data Visualization
6: Seaborn for Data Visualization
Appendix:SVG and D3

Erscheinungsdatum
Sprache englisch
Gewicht 10 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
ISBN-10 1-68392-946-2 / 1683929462
ISBN-13 978-1-68392-946-8 / 9781683929468
Zustand Neuware
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