Description

Introduction to Advanced Python for Biologists
"Advanced Python for Biologists" serves as a comprehensive programming course tailored for professionals in biology and bioinformatics seeking to enhance their programming proficiency. Authored by Dr. Martin O Jones and published on January 17, 2014, this book builds upon the foundational Python knowledge provided in "Python for Biologists," delving into advanced Python tools and techniques with practical biological examples.

Exploring Advanced Python Concepts

This course delves into advanced Python concepts, including:

Object-Oriented Programming (OOP): Modeling biological entities through OOP principles, enabling more structured and modular code design.
Exception Handling: Writing robust code by utilizing Python's exception system to handle errors gracefully and improve program reliability.
Unit Testing: Ensuring code quality through the implementation of unit tests, utilizing Python's unit testing framework to validate program functionality.
Data Transformation: Leveraging Python's comprehensions for efficient and concise data manipulation, with a focus on biological data transformations.
Functional Programming: Developing flexible functions and applications using functional programming paradigms, enhancing code readability and maintainability.
Iteration Framework: Extending custom objects and functions using Python's iteration framework, enabling seamless integration with existing codebases.

Emphasis on Practical Problem-Solving

Throughout the course, emphasis is placed on practical problem-solving, with everyday biological examples used to illustrate advanced Python concepts. Each section includes exercises accompanied by solutions and detailed discussions, facilitating hands-on learning and comprehension.

Key Learning Objectives

By completing "Advanced Python for Biologists," readers will:

Gain proficiency in advanced Python tools and techniques relevant to biological research and bioinformatics.
Enhance their ability to model biological entities and design robust, scalable programs using OOP principles.
Develop strategies for writing more reliable code through exception handling and unit testing.
Master data transformation techniques and functional programming paradigms for efficient data manipulation.
Extend their programming capabilities through Python's iteration framework, enabling seamless integration with existing codebases.

About the Author

Dr. Martin O Jones, the author of "Advanced Python for Biologists," brings his expertise in both biology and programming to this comprehensive course. With a focus on practical problem-solving and real-world applications, Dr. Jones empowers professionals in biology and bioinformatics to leverage advanced Python techniques effectively in their research and projects.

Conclusion

"Advanced Python for Biologists" is an invaluable resource for professionals seeking to elevate their programming skills in the context of biology and bioinformatics. Through practical examples, exercises, and detailed discussions, this course equips readers with the knowledge and tools needed to tackle complex biological problems and enhance their contributions to the field.