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Python Programming and Visualization for Scientists
85% of respondents would recommend this to a friend
PYG 442416
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Python continues to gain dominance as a language of choice for analyzing and visualizing scientific data.
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What Stands Out
Detalles de producto
| Publisher | Sundog Publishing, LLC |
| Publication date | January 11, 2021 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 372 pages |
| ISBN-10 | 0972903356 |
| ISBN-13 | 978-0972903356 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 8.25 x 0.77 x 11 inches (21 x 2 x 27.9 cm) |
Who Should Buy?
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Aspiring Data Scientists
This book offers a solid foundation in Python specifically tailored for professionals interested in scientific data analysis.
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Researchers in STEM
Provides practical skills in programming and visualization essential for data analysis in science, engineering, and technology.
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Academics Teaching Python
Ideal resource for educators looking to enhance their curriculum with real-world examples of Python programming in science.
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Beginner Programmers
Those with no prior programming experience may find the content challenging without foundational knowledge in Python.
DESCRIPCIÓN DEL PRODUCTO
Python Programming and Visualization for Scientists
Preguntas y respuestas de los clientes
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Pregunta:
Is this book suitable for beginners in programming?
Respuesta: No, it's designed for readers with some programming experience and not as an introductory textbook. -
Pregunta:
What are the key new features in the second edition?
Respuesta: The second edition includes chapters on the Pandas library, Cartopy, and an appendix on Jupyter notebooks. -
Pregunta:
Can an experienced programmer skip chapters?
Respuesta: Yes, the book is organized to allow experienced programmers to jump directly to relevant chapters.
Software Design, Testing & Engineering Editorial Review
**Editorial Review** "Python Programming and Visualization for Scientists" 2nd Edition has garnered a positive reception among novice programmers, particularly those looking to ease into Python programming. Many readers have highlighted the book's clear layout and straightforward explanations, making it a highly recommended resource for first-time users. The instructional style effectively guides beginners through fundamental programming concepts while also assisting students within structured courses, such as Dr. DeCaria's Python class. However, some users have raised concerns about the book's longevity, noting the rapid evolution of Python and the potential for the material to become outdated quickly. Despite this drawback, the book remains a valuable reference, praised for its ease of use and clarity. Overall, "Python Programming and Visualization for Scientists" is celebrated for its educational value and accessibility, positioning it as a top choice for those embarking on their programming journey. **
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ventajas
- Clear and well-structured layout
- Great for beginners to learn Python
- Easy to understand and follow
- Helpful resource for academic courses
Contras
- Potential for content to become outdated quickly due to rapid updates in Python
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PYG 442416
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características y beneficios
- Learn to analyze and visualize scientific data using Python.
- Completely revised second edition compatible with Python 3.
- Includes new chapters on Pandas library and Cartopy.
- Features 90 color figures and syntax highlighting for easy understanding.
- Ideal for those with programming experience transitioning to Python.
- Serves as a valuable resource for students, educators, and researchers.
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