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Item #:
152712990
Python Programming and Visualization for Scientists, (Paperback)
88% of respondents would recommend this to a friend
Item #:
152712990
IQD 73733
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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.
Product Details
| 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.
Product Description
Python Programming and Visualization for Scientists, (Paperback)
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Customer Questions & Answers
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Question:
Is this book suitable for beginners?
Answer: No, this book is designed for those with prior programming experience, not complete beginners. -
Question:
What topics are covered in the second edition?
Answer: The second edition includes updated Python 3 examples, additional chapters on Pandas and Cartopy, and a section on Jupyter notebooks. -
Question:
Can I use this book for classroom instruction?
Answer: 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
Cons
- Might be too detailed for casual readers
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IQD 73733
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Features & Benefits
- 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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