Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing
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Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing
Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing 1st Edition
Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing
Бр. на производ: 35228211

Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing

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Бр. на производ: 35228211

MKD 5195

MKD 7874

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What Stands Out

Comprehensive Guide
This book offers an in-depth exploration of Python tailored specifically for bioinformatics, catering to both beginners and experienced researchers to enhance coding skills in a relevant scientific domain.
Documented Code Practices
Mastering Python emphasizes best practices for writing flexible and well-documented code, ensuring that researchers can maintain and share their work seamlessly, which is crucial in collaborative environments.
Testing Methodologies
The focus on testing promotes reliability in bioinformatics applications, addressing common user issues with code errors, thus empowering researchers to produce robust and high-quality software for their scientific needs.

Детали за производот

Shop Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing online at a best price in North Macedonia. 1098100883
  • Leatherbound edition of Werken. Volume n.s. no.53 1889
  • Language: Dutch
  • Reprinted from 1889 edition with no changes to the original text
  • Illustrations and index included in black and white
  • Sewn binding for longer life, resulting in a durable type of binding
  • 600 pages, handcrafted with additional 10 days required for processing
Publisher O'Reilly Media
Publication date June 15, 2021
Edition 1st
Language English
Print length 454 pages
ISBN-10 1098100883
ISBN-13 978-1098100889
Item Weight 2.31 pounds (1.05 kg)
Dimensions 7 x 1 x 9 inches (17.8 x 2.5 x 22.9 cm)

Who Should Buy?

Suitable For
  • Bioinformatics Researchers

    Ideal for researchers seeking to improve their programming skills for bioinformatics applications and computational biology.

  • Beginner Programmers

    Beneficial for novices who want to learn Python while applying it to biological data analysis and research.

  • Academic Instructors

    Great resource for professors who teach bioinformatics and need a structured approach to programming with Python.

Not Suitable For
  • Advanced Programmers

    Experienced developers may find the content too basic and not sufficiently challenging for their skill level.

ОПИС НА ПРОИЗВОД

Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing

About This Item

Are you an aspiring bioinformatician looking to enhance your programming skills? Look no further than the "Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing 1st Edition". This comprehensive book is a must-have for anyone interested in leveraging the power of Python programming in the field of bioinformatics. Packed with practical examples and step-by-step guidance, it equips you with the skills needed to write efficient, flexible, and well-documented Python code. Whether you're a beginner or have some experience in Python, this book caters to all skill levels. It starts with the basics, introducing you to the Python language and its syntax.

From there, it dives into more advanced topics, such as working with bioinformatics-specific libraries, data analysis, and statistical analysis. What sets this book apart from others is its focus on research computing. You'll learn how to apply Python programming to solve real-world bioinformatics problems, making it an invaluable resource for those working in the field of genomics, computational biology, and molecular biology research. With this book as your guide, you'll gain a solid understanding of how Python can be used to analyze and manipulate large datasets, perform complex calculations, and visualize data. The clear and concise explanations, along with the numerous code examples, make it easy to follow along and apply the concepts to your own projects. Whether you're a bioinformatics student, a researcher, or a professional in the field, "Mastering Python for Bioinformatics" will take your Python programming skills to the next level.

Embrace the power of Python and unlock a world of possibilities in bioinformatics research today.

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Software Development Editorial Review

Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing is an essential guide for researchers in bioinformatics looking to enhance their coding skills. Published by O'Reilly Media on June 15, 2021, this first edition spans 454 pages, making it a comprehensive resource. Readers appreciate the systematic approach to writing documented and tested Python code, a crucial aspect that sets this book apart. The authors effectively address the challenges faced in research computing, ensuring that the material is both relevant and accessible. With clear explanations and practical examples, it serves as a valuable tool for both beginners and seasoned programmers in the field of bioinformatics.

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Добрите

  • Well-structured and easy to follow
  • Covers essential coding practices
  • Great resource for bioinformatics
  • Practical examples enhance learning
  • Ideal for both beginners and experts

Конс

  • Some sections may be too detailed for quick reference

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MKD 5195

MKD 7874

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Карактеристики и придобивки

  • Exploit the best parts of Python to solve problems in biology
  • Learn the latest Python features and tools for creating documented and tested programs
  • Tackle challenges in Rosalind, a problem-solving platform for learning bioinformatics and programming
  • Create command-line Python programs to document and validate parameters
  • Address bioinformatics ideas using Python data structures and modules such as Biopython
  • Use regular expressions and higher-order functions in Python to find patterns of text and streamline workflows

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