Python Programming for Biology, (Hardcover)
89% of respondents would recommend this to a friend
€ 174
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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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Detaily produktu
| Book format | Hardcover |
| 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 | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.00 x 1.40 x 9.80 in (17.8 x 3.6 x 24.9 cm) |
| Assembled product weight | 3.35 lb (1.52 kg) |
| Bisac subject heading | Science |
Who Should Buy?
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Biology Students
Ideal for biology students seeking to learn programming skills applicable in bioinformatics and data analysis.
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Bioinformatics Professionals
Equips bioinformatics professionals with Python programming techniques for advanced biological data analysis.
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Self-Learners
Great for self-learners interested in applying Python programming to solve biological problems and enhance their skills.
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Complete Beginners
Not suitable for individuals without any programming background, as it may be too advanced and technical.
OPIS PRODUKTU
Python Programming for Biology, (Hardcover)
Otázky a odpovede zákazníkov
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otázka:
Who is this book suitable for?
odpoveď: It is suitable for beginners, undergraduates, postgraduates, and professionals in the life sciences. -
otázka:
What programming language does the book focus on?
odpoveď: The book focuses on Python programming. -
otázka:
Does the book include practical examples?
odpoveď: Yes, it includes working Python examples for core bioinformatics methods.
Tim J Stevens All Books Editorial Review
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€ 174
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Funkcie a výhody
- Comprehensive beginners' course in Python programming.
- Accessible writing style suitable for all skill levels.
- Covers core bioinformatics methods with practical examples.
- Includes scientific computing techniques such as image analysis and machine learning.
- Serves as a language reference with essential Python elements.
- Designed for undergraduates, postgraduates, and life science professionals.
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