Mitchell L Model

Bioinformatics Programming Using Python (eBook, PDF)

Practical Programming for Biological Data

• Format: PDF

Produktbeschreibung

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 applicationsLearn how to use Python modules for pattern matching, structured text processing, online data retrieval, and database accessDiscover generalized patterns that cover a large proportion of how Python code is used in bioinformaticsLearn how to apply the principles and techniques of object-oriented programmingBenefit from the "e;tips and traps"e; section in each chapter

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 524
• Erscheinungstermin: 8. Dezember 2009
• Englisch
• ISBN-13: 9781449388997
• Artikelnr.: 52931892

Autorenporträt

Mitchell L. Model has worked in a wide range of platforms, languages, technologies and domains. For much of his career he has been an independent consultant, providing training, mentoring, tools, and support to software development groups learning to use new technologies and practices. During the past 15 years his work has focused on bioinformatics.

Inhaltsangabe

Preface
Introduction
Python
Notes
Conventions Used in This Book
We'd Like to Hear from You
Using Code Examples
Safari® Books Online
Acknowledgments
Chapter 1: Primitives
1.1 Simple Values
1.2 Expressions
1.3 Tips, Traps, and Tracebacks
Chapter 2: Names, Functions, and Modules
2.1 Assigning Names
2.2 Defining Functions
2.3 Using Modules
2.4 Tips, Traps, and Tracebacks
Chapter 3: Collections
3.1 Sets
3.2 Sequences
3.3 Mappings
3.4 Streams
3.5 Collection-Related Expression Features
3.6 Tips, Traps, and Tracebacks
Chapter 4: Control Statements
4.1 Conditionals
4.2 Loops
4.3 Iterations
4.4 Exception Handlers
4.5 Extended Examples
4.6 Tips, Traps, and Tracebacks
Chapter 5: Classes
5.1 Defining Classes
5.2 Class and Method Relationships
5.3 Tips, Traps, and Tracebacks
Chapter 6: Utilities
6.1 System Environment
6.2 The Filesystem
6.3 Working with Text
6.4 Persistent Storage
6.5 Tips, Traps, and Tracebacks
Chapter 7: Pattern Matching
7.1 Fundamental Syntax
7.2 The Actions of the re Module
7.3 Results of re Functions and Methods
7.4 Putting It All Together: Examples
7.5 Tips, Traps, and Tracebacks
Chapter 8: Structured Text
8.1 HTML
8.2 XML
8.3 Tips, Traps, and Tracebacks
Chapter 9: Web Programming
9.1 Manipulating URLs: urllib.parse
9.2 Opening Web Pages: webbrowser
9.3 Web Clients
9.4 Web Servers
9.5 Tips, Traps, and Tracebacks
Chapter 10: Relational Databases
10.1 Representation in Relational Databases
10.2 Using Relational Data
10.3 Tips, Traps, and Tracebacks
Chapter 11: Structured Graphics
11.1 Introduction to Graphics Programming
11.2 Structured Graphics with tkinter
11.3 Structured Graphics with SVG
11.4 Tips, Traps, and Tracebacks
Python Language Summary
Language Components
Types and Expressions
Statements
Notes
Collection Type Summary
Types and General Operations
Specific Collection Types
Iteration Templates
Colophon

Rezensionen

"Dieses Buch sollte JEDER lesen, der sich über Word/Excel hinaus mit Computern beschäftigen möchte. Nicht nur der Naturwissenschaftler. Auch wer sich "nur" für Computer interessiert, kommt hier innerhalb von kürzester Zeit "von Null auf 100".. und lernt quasi nebenbei allerhand über Biologie. Ich finde die Möglichkeiten von Python sehr sehr leistungsstark. Ich bin schon gespannt, mehr von diesem Autor zu lesen. Ein tolles Werk!" -- php-nuke.de, April 2010