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154853629
Python Programming for Biology: Bioinformatics and Beyond, (Paperback)
82% of respondents would recommend this to a friend
Item #:
154853629
PEN 403
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This guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology.
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What Stands Out
Biology Focused
Integrates Python programming with biological concepts, catering specifically to biologists seeking practical coding skills to analyze biological data and enhance research capabilities.
User-Friendly
Written in an accessible language, making Python programming approachable for beginners. Ideal for biology students with no prior coding experience, facilitating self-learning and application.
Real-World Applications
Provides practical examples and projects directly related to biology, enabling readers to see immediate relevance and applicability of programming in their field.
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | February, 2015 |
| Pages | 711 |
| Subgenre | Life Sciences |
| Series title | No Series |
| Edition | 1 |
| Publisher | Cambridge University Press |
| Original languages | English |
| Language | English |
| Edu focus | Biology |
| Educational level | College |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.70 x 1.30 x 9.60 in (17 x 3.3 x 24.4 cm) |
| Assembled product weight | 3.05 lb (1.38 kg) |
| Bisac subject heading | Science |
Who Should Buy?
-
Biology Students
Ideal for biology students looking to enhance their research skills through programming and data analysis techniques.
-
Research Scientists
Beneficial for research scientists who want to analyze biological data using Python for their experiments and studies.
-
Educators in Biology
Useful for educators seeking to teach programming concepts combined with biological applications to enhance student engagement.
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Complete Beginners
Not suitable for individuals with no prior programming experience who may struggle with the book's technical concepts.
Product Description
Python Programming for Biology: Bioinformatics and Beyond, (Paperback)
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Customer Questions & Answers
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Question:
Is this book suitable for someone with no programming experience?
Answer: Yes, it is designed as a complete beginners' course to programming in Python. -
Question:
What scientific techniques are covered in this book?
Answer: It includes statistical methods, image analysis, and machine learning techniques. -
Question:
Who can benefit from this book?
Answer: Undergraduates, postgraduates, and professionals in the life sciences will find it valuable.
Tim J Stevens All Books Editorial Review
Python Programming for Biology: Bioinformatics and Beyond is a comprehensive textbook published by Cambridge University Press in February 2015. With a robust format of 711 pages, this non-fiction book focuses on the intersection of biology and programming, making it essential for college-level education in life sciences. Readers have praised its clear explanations and practical applications in bioinformatics, making complex topics more accessible. This edition serves as a valuable resource for students seeking to integrate programming skills into their biology studies, enhancing their understanding of various biological concepts through Python.
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Pros
- Comprehensive coverage of bioinformatics topics
- Ideal for college-level biology education
- Detailed explanations of programming concepts
- Practical applications for real-world scenarios
- Robust textbook format with 711 pages
Cons
- Some readers may find it dense due to extensive content
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Features & Benefits
- Ideal for beginners in programming and computational biology.
- Comprehensive 711-page guidebook from Cambridge University Press.
- Covers core bioinformatics methods with practical Python examples.
- Includes scientific computing techniques like image analysis and machine learning.
- Serves as a valuable reference for Python language and biological terms.
- Perfect for undergraduates, postgraduates, and professionals in life sciences.
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