

Dr. Mitchell L Model is a computer scientist with a background in philosophy. He specializes in object technology, knowledge representation, user interfaces, distributed computing, and software development and is an inveterate software tool builder.
Meer over Mitchell ModelBioinformatics Programming Using Python (Cover Python 3)
Practical Programming for Biological Data
Samenvatting
Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and Python modules that are particularly effective for bioinformatics programming.
'Bioinformatics Programming Using Python' is perfect for anyone involved with bioinformatics - researchers, support staff, students, and software developers interested in writing bioinformatics applications. You'll find it useful whether you already use Python, write code in another language, or have no programming experience at all. It's an excellent self-instruction tool, as well as a handy reference when facing the challenges of real-life programming tasks.
- Become familiar with Python's fundamentals, including ways to develop simple applications
- Learn how to use Python modules for pattern matching, structured text processing, online data retrieval, and database access
- Discover generalized patterns that cover a large proportion of how Python code is used in bioinformatics
- Learn how to apply the principles and techniques of object-oriented programming
- Benefit from the "tips and traps" section in each chapter
Specificaties
Inhoudsopgave
1. Primitives
-Simple Values
-Expressions
-Tips, Traps, and Tracebacks
2. Names, Functions, and Modules
-Assigning Names
-Defining Functions
-Using Modules
-Tips, Traps, and Tracebacks
3. Collections
-Sets
-Sequences
-Mappings
-Streams
-Collection-Related Expression Features
-Tips, Traps, and Tracebacks
4. Control Statements
-Conditionals
-Loops
-Iterations
-Exception Handlers
-Extended Examples
-Tips, Traps, and Tracebacks
5. Classes
-Defining Classes
-Class and Method Relationships
-Tips, Traps, and Tracebacks
6. Utilities
-System Environment
-The Filesystem
-Working with Text
-Persistent Storage
-Tips, Traps, and Tracebacks
7. Pattern Matching
-Fundamental Syntax
-The Actions of the re Module
-Results of re Functions and Methods
-Putting It All Together: Examples
-Tips, Traps, and Tracebacks
8. Structured Text
-HTML
-XML
-Tips, Traps, and Tracebacks
9. Web Programming
-Manipulating URLs: urllib.parse
-Opening Web Pages: webbrowser
-Web Clients
-Web Servers
-Tips, Traps, and Tracebacks
10. Relational Databases
-Representation in Relational Databases
-Using Relational Data
-Tips, Traps, and Tracebacks
11. Structured Graphics
-Introduction to Graphics Programming
-Structured Graphics with tkinter
-Structured Graphics with SVG
-Tips, Traps, and Tracebacks
Appendix A: Python Language Summary
Appendix B: Collection Type Summary
Index
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