Description

Book Synopsis
This first introductory book designed to train novice programmers is based on a student course taught by the author, and has been optimized for biology students without previous experience in programming.
By interspersing theory chapters with numerous small and large programming exercises, the author quickly shows readers how to do their own programming, and throughout uses anecdotes and real-life examples from the biosciences to 'spice up' the text.
This practical book thus teaches essential programming skills for life scientists who want -- or need -- to write their own bioinformatics software tools.

Table of Contents
Classification of Programming Languages
Getting the Materials: Python program and documentation
Variables, Data Types, Assignments
Flow Control
Worked Example #1
Functions and Procedures
Worked Example #2
The Object-oriented World
Worked Example #3
Top-down Versus Bottom-up Strategies
Worked Example #4
Sorting and Searching
Welcome to the Library
Programming Exercise: Trimethizing a File
Dealing with Errors
Programming Exercise: Generating a Restriction Map
Advanced Techniques in Python
Programming Exercise: Python goes PCR

Bioinformatics Programming in Python: A Practical Course for Beginners

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    A Paperback by Ruediger-Marcus Flaig

    £999.99

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      Book details

      Publisher Blackwell Verlag GmbH
      Published 20 February 2008
      ISBN-13 9783527320943
      978-3527320943
      ISBN-10 3527320946

      Description

      Book Synopsis
      This first introductory book designed to train novice programmers is based on a student course taught by the author, and has been optimized for biology students without previous experience in programming.
      By interspersing theory chapters with numerous small and large programming exercises, the author quickly shows readers how to do their own programming, and throughout uses anecdotes and real-life examples from the biosciences to 'spice up' the text.
      This practical book thus teaches essential programming skills for life scientists who want -- or need -- to write their own bioinformatics software tools.

      Table of Contents
      Classification of Programming Languages
      Getting the Materials: Python program and documentation
      Variables, Data Types, Assignments
      Flow Control
      Worked Example #1
      Functions and Procedures
      Worked Example #2
      The Object-oriented World
      Worked Example #3
      Top-down Versus Bottom-up Strategies
      Worked Example #4
      Sorting and Searching
      Welcome to the Library
      Programming Exercise: Trimethizing a File
      Dealing with Errors
      Programming Exercise: Generating a Restriction Map
      Advanced Techniques in Python
      Programming Exercise: Python goes PCR

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