Managing Your Biological Data with Python by Allegra Via, Kri... - 9781439880937
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Product Details
| Book Title | Managing Your Biological Data with Python |
| ISBN | 9781439880937 |
| Country of Origin | United States |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
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Biologists and Researchers
Perfect for those analyzing biological data using Python to enhance their research methodologies and data handling techniques.
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Data Scientists
Ideal for data scientists focused on biological datasets needing practical tools for data management and analysis.
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Students in Bioinformatics
An excellent resource for students seeking to learn practical applications of Python in biological data analysis.
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Beginners in Python
Not suitable for absolute beginners in Python, as it assumes a level of programming knowledge and experience.
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Editorial Review
Managing Your Biological Data With Python By Allegra Via, Kri... - 9781439880937 presents a unique approach to handling biological data through Python programming. This book, weighing 1.5 lbs, is designed for readers looking to enhance their data management skills in the biological sciences. With practical applications and examples, it serves as a valuable resource for both students and professionals in the field. Whether you're just starting or looking to deepen your knowledge, this book offers a comprehensive guide to navigating biological data effectively.
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Pros
- Practical applications for biological data management
- Ideal for both students and professionals
- Comprehensive guide on Python use
- Well-structured and easy to follow
- Focuses on enhancing data management skills
Cons
- Content may be complex for absolute beginners
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Features & Benefits
- No prior programming experience required.
- Empowers biologists to independently manage and analyze their data.
- Covers Python basics and progressively builds programming skills.
- Includes data visualization techniques for presentations.
- Features the Biopython library for biological file formats and NCBI data.
- Provides 20 real-world programming recipes tailored for biologists.
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