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Bioinformatics Programming Using Python: Practical Programming for Biological Data First Edition
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Bioinformatics Programming Using Python is perfect for anyone involved with bioinformatics -- researchers, support staff, students, and software developers interested in writing bioinformatics applications.
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Produkto Aprašymas
| Publisher | O'Reilly Media |
| Publication date | January 19, 2010 |
| Edition | First Edition |
| Language | English |
| Print length | 521 pages |
| ISBN-10 | 059615450X |
| ISBN-13 | 978-0596154509 |
| Item Weight | 1.55 pounds (700 grams) |
| Dimensions | 7 x 1 x 9.19 inches (17.8 x 2.5 x 23.3 cm) |
Who Should Buy?
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Bioinformatics Students
Ideal for students specializing in bioinformatics wanting practical programming skills for biological data analysis.
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Data Analysts
Benefits data analysts seeking to enhance their Python skills specifically for biological data interpretation and visualization.
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Researchers
Useful for biological researchers needing to process and analyze complex biological datasets using Python.
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Complete Beginners
Not suitable for users with no prior programming experience, as it assumes basic Python knowledge.
PRODUKTO APRAŠYMAS
Bioinformatics Programming Using Python: Practical Programming for Biological Data First Edition
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Software Development Editorial Review
Bioinformatics Programming Using Python: Practical Programming for Biological Data 1st Edition is a comprehensive textbook that provides great explanations and plenty of examples for beginners. However, some readers have expressed that the book lacks a longer introductory section, making it challenging for those who are completely new to programming. Despite this, the book is highly recommended for its ability to take readers from zero to 100 in no time. On the downside, there are complaints about the amount of non-functioning code in the book, causing frustration for readers trying to work through the examples. Overall, Bioinformatics Programming Using Python has the potential to be a valuable resource, but improvements are needed to address the code issues.
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Argumentai
- Comprehensive and informative textbook
- Great explanations for beginners
- Plenty of examples for learning
Minusai
- Lacks a longer introductory section
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Savybės ir privalumai
- Powerful, flexible, and easy to use Python for building software tools
- Program with Python using code examples from bioinformatics
- Ideal for those with no programming experience
- Learn Python fundamentals and object-oriented programming techniques
- Discover Python modules for various bioinformatics tasks
- Benefit from the tips and traps section in each chapter
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