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Bioinformatics programming using Python [electronic book] / Mitchell L. Model.

By: Model, Mitchell L [author].
Material type: materialTypeLabelBookPublisher: Sebastapol, CA : O'Reilly, [2010]Copyright date: ©2010Description: online resource (xxvii, 492 pages) : illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9780596154509 (paperback); 059615450X (paperback); 9781449382902 (e-book) ; 144938899X (e-book) .Subject(s): Bioinformatics | Python (Computer program language)DDC classification: 572.80285 Online resources: E-book
Contents:
Primitives -- Names functions and modules -- Collections -- Control statements -- Classes -- Utilities -- Pattern matching -- Structured text -- Web programming -- Relational databases -- Structured graphics.
List(s) this item appears in: E-BOOK LIST
Holdings
Item type Current library Call number Status Date due Barcode Item holds
e-BOOK MTU Bishopstown Library eBook 572.80285 (Browse shelf(Opens below)) Not for loan
Total holds: 0

Enhanced descriptions from Syndetics:

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

Covers Python 3--cover.

Includes bibliographical references and index.

Primitives -- Names functions and modules -- Collections -- Control statements -- Classes -- Utilities -- Pattern matching -- Structured text -- Web programming -- Relational databases -- Structured graphics.

CIT Module SOFT 9019 - Core reading.

Electronic reproduction.: ProQuest LibCentral. Model of access: World Wide Web.

Author notes provided by Syndetics

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.

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