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152712990
Python Programming and Visualization for Scientists, (Paperback)
88% of respondents would recommend this to a friend
Č. položky:
152712990
€ 51
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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
Scientific Focus
Tailored for scientists, this book addresses specific programming and visualization needs, ensuring users can effectively analyze and present their complex data efficiently.
Hands-On Approach
Emphasizing practical application, the book includes numerous examples and exercises, enabling readers to build real-world skills in Python programming and data visualization techniques.
User-Friendly Design
With clear explanations and step-by-step guidance, the book makes Python accessible, allowing beginners to quickly grasp essential concepts and apply them to scientific research.
Detaily produktu
- Python continues to gain dominance as a language of choice for analyzing and visualizing scientific data. Although it has concise, intuitive syntax, learning how to plot and visualize data requires scouring the internet for documentation and examples. This book was written from the perspective of What book would the authors want to have had when they were transitioning to Python?A second edition of the book was made necessary by the transition to Python 3, which did not maintain full backward compatibility with earlier versions of the language. The second edition has been completely revised to ensure that all code examples work in Python 3. Additional chapters on the Pandas library and Cartopy have been included, as well as an appendix on Jupyter notebooks, which have become an important tool for developing and communicating code in both the research and educational settings.The 90 figures are mostly in color, and color syntax highlighting is used with all code samples throughout the text to facilitate visual recognition of program structure.The first edition of the book has proven useful not only as a classroom text but also as a guide and reference for students, educators, and researchers who already have programming experience and want to start creating plots and analyzing data using Python. The second edition will serve the same role. It is not meant for the person who is completely new to programming, nor is it an introductory computer science textbook. The authors' assumptions are that the reader has some experience programming with a language other than Python.Although the new Python programmer may wish to read the book cover to cover, the book is organized such that an experienced programmer can readily jump to the appropriate chapter. An extensive index aids in searching for functions and methods useful for data visualization and analysis.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | January, 2021 |
| Pages | 372 |
| Reading level | General (US: Trade) |
| Subgenre | Languages |
| Series title | No Series |
| Edition | 2nd Edition |
| Publisher | Sundog Publishing, LLC |
| Original languages | English |
| Language | English |
| Educational level | College |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 8.25 x 0.77 x 11.00 Inches (21 x 2 x 27.9 cm) |
| Assembled product weight | 1.84 lb (830 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Aspiring Data Scientists
Students or early career professionals looking to enhance their programming skills for data analysis and visualization.
-
Research Scientists
Researchers seeking to improve their data visualization skills and harness Python for scientific computing and analysis.
-
Technical Educators
Instructors who wish to teach Python programming effectively with a focus on scientific applications and visual data representation.
-
Beginner Programmers
Newcomers without any programming background may find the content challenging and overwhelming to understand.
OPIS PRODUKTU
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Otázky a odpovede zákazníkov
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otázka:
Is this book suitable for beginners?
odpoveď: No, this book is designed for those with prior programming experience, not complete beginners. -
otázka:
What topics are covered in the second edition?
odpoveď: The second edition includes updated Python 3 examples, additional chapters on Pandas and Cartopy, and a section on Jupyter notebooks. -
otázka:
Can I use this book for classroom instruction?
odpoveď: Yes, it has proven useful as a classroom text, guide, and reference for students and educators.
Alex Decaria All Books Editorial Review
Python Programming and Visualization for Scientists is a comprehensive paperback guide published by Sundog Publishing, LLC, in January 2021. This non-fiction book spans 372 pages and is tailored for college-level individuals, emphasizing languages within the computing genre. Its second edition dives into both programming and data visualization, making it an invaluable resource for scientists interested in enhancing their technical skills. With a well-structured format suitable for general readers, this book stands out for its clarity and structured approach to complex topics. Additionally, its dimensions make it quite portable for study on the go.
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Pros
- Comprehensive guide for both programming and visualization
- Suitable for college-level readers
- Well-structured and easy to follow
- Portable size for convenience
- Covers essential topics for scientists
Zápory
- Might be too detailed for casual readers
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Funkcie a výhody
- Comprehensive guide for scientists transitioning to Python.
- Updated to Python 3 with fully compatible code examples.
- Includes additional chapters on Pandas and Cartopy libraries.
- Practical appendix on Jupyter notebooks for effective coding.
- Perfect for those with programming experience, not beginners.
- Organized for easy navigation through relevant chapters.
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