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230555462
Bioinformatics Programming Using Python: Practical Programming for Biological Data
88% of respondents would recommend this to a friend
Item #:
230555462
BAM 123
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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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What Stands Out
Practical Focus
Emphasizes hands-on coding exercises relevant to biological data, helping readers apply programming skills immediately in real-world scenarios.
Comprehensive Coverage
Covers a wide range of bioinformatics topics and libraries in Python, ensuring learners can tackle diverse biological data analysis challenges effectively.
Beginner-Friendly
Tailored for beginners, with clear explanations and examples that simplify complex concepts, making it accessible for those new to programming and bioinformatics.
Product Details
| 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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Biology Students
Ideal for biology students aiming to enhance their programming skills for analyzing biological data effectively.
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Data Analysts
Perfect for data analysts in bioinformatics looking to apply Python for biological data interpretation and visualization.
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Researchers
Suitably designed for researchers needing practical programming guidance for bioinformatics projects and data manipulation.
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Total Beginners
Not suitable for absolute beginners in programming without a background in Python or bioinformatics concepts.
Product Description
Bioinformatics Programming Using Python: Practical Programming for Biological Data
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Software Development Editorial Review
**** The product in review, "Bioinformatics Programming Using Python," has garnered positive feedback from users who find it well-suited for beginners venturing into both programming and bioinformatics. Customers appreciate the clear explanations and the abundance of practical examples, highlighting its effectiveness as a learning tool. Those with some prior coding experience, particularly in Java, report a smoother experience with the material, indicating the book's focus on foundational concepts may pose challenges for absolute novices. Despite some critiques regarding the need for an expanded introductory section, users overwhelmingly underscore the text's value in targeting aspiring bioinformaticians. The book strategically progresses from basic data types and flow controls to more complex concepts like object-oriented programming, integrating useful code templates that aid newcomers in grasping essential data processing tasks. Its comprehensive coverage of utilities for managing and analyzing large datasets reflects the current demands of modern biological research, providing readers the skills they need to navigate beyond traditional spreadsheet methods. Although certain areas, such as numerical computing with libraries like NumPy or SciPy, are noted as lacking, the book still serves as an approachable gateway for those looking to employ Python in bioinformatics workflows. Additionally, the integration of graphical representation tools ensures readers leave with a foundational competence in presenting their findings effectively. Thus, this book is highly recommended for anyone eager to embark on the journey of processing biological data with Python. **
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Pros
- Clear explanations and comprehensive examples make it suitable for beginners.
- Effectively introduces core programming concepts with a focus on bioinformatics applications.
- Well-organized structure facilitates learning-by-doing for new programmers.
- Covers essential utilities for data processing, gathering, and visualization.
- Good balance of theory and practical skills for real-world biological data analysis.
Cons
- Could benefit from a longer introductory section for absolute novices.
Product Price History
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Features & Benefits
- 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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