Python Programming and Visualization for Scientists
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Python Programming and Visualization for Scientists
Python continues to gain dominance as a language of choice for analyzing and visualizing scientific data.
Python Programming and Visualization for Scientists
Nº de artículo: 210899052

Python Programming and Visualization for Scientists

85% of respondents would recommend this to a friend

Nº de artículo: 210899052

BOB 388

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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

Comprehensive Coverage
This edition offers in-depth coverage of Python programming tailored specifically for scientists, ensuring a thorough understanding of both programming concepts and data visualization techniques.
Hands-On Approach
Includes practical exercises and real-world applications that encourage scientists to directly apply Python skills, enhancing their research capabilities and data analysis effectiveness.
Visualization Techniques
Focuses on advanced visualization techniques to effectively communicate scientific data, making complex information more accessible and engaging for audiences in various scientific fields.

Detalles de producto

Shop Python Programming and Visualization for Scientists online at a best price in Bolivia. 0972903356
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?

Suitable For
  • Aspiring Data Scientists

    This book offers a solid foundation in Python specifically tailored for professionals interested in scientific data analysis.

  • Researchers in STEM

    Provides practical skills in programming and visualization essential for data analysis in science, engineering, and technology.

  • Academics Teaching Python

    Ideal resource for educators looking to enhance their curriculum with real-world examples of Python programming in science.

Not Suitable For
  • 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

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Preguntas y respuestas de los clientes

  • 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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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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