Python 3 and Data Visualization
- Publisher
Mercury Learning and Information - Published
12th October - ISBN 9781683929468
- Language English
- Pages 280 pp.
- Size 7" x 9"
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- Publisher
Mercury Learning and Information - Published
3rd October - ISBN 9781683929444
- Language English
- Pages 280 pp.
- Size 7" x 9"
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- Publisher
Mercury Learning and Information - Published
3rd October - ISBN 9781683929451
- Language English
- Pages 280 pp.
- Size 7" x 9"
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 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.
FEATURES:
- Covers numerous tools for mastering visualization including NumPy, Pandas, SQL, Matplotlib, and Seaborn
- Includes an introductory chapter on Python 3 basics
- Features companion files with numerous Python code samples and figures
1: Introduction to Python 3
2: NumPy
and 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
Oswald Campesato
Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over thirty-five books including Python 3 Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).