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      Book

      Managing Your Biological Data with Python
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      Book

      Managing Your Biological Data with Python

      DOI link for Managing Your Biological Data with Python

      Managing Your Biological Data with Python book

      Managing Your Biological Data with Python

      DOI link for Managing Your Biological Data with Python

      Managing Your Biological Data with Python book

      ByAllegra Via, Kristian Rother, Anna Tramontano
      Edition 1st Edition
      First Published 2014
      eBook Published 18 March 2014
      Pub. Location New York
      Imprint Chapman and Hall/CRC
      DOI https://doi.org/10.1201/b16673
      Pages 560
      eBook ISBN 9780429184987
      Subjects Bioscience
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      Via, A., Rother, K., & Tramontano, A. (2014). Managing Your Biological Data with Python (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b16673

      ABSTRACT

      Take Control of Your Data and Use Python with ConfidenceRequiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how

      TABLE OF CONTENTS

      chapter 1|18 pages

      ◾ The Python Shell

      chapter 2|22 pages

      ◾ Your First Python Program

      chapter 3|14 pages

      ◾ Analyzing a Data Column

      chapter 4|18 pages

      ◾ Parsing Data Records

      chapter 5|16 pages

      ◾ Searching Data

      chapter 6|18 pages

      ◾ Filtering Data

      chapter 7|18 pages

      ◾ Managing Tabular Data

      chapter 8|14 pages

      ◾ Sorting Data

      chapter 9|24 pages

      ◾ Pattern Matching and Text Mining

      chapter 10|22 pages

      ◾ Divide a Program into Functions

      chapter 11|16 pages

      ◾ Managing Complexity with Classes

      chapter 12|20 pages

      ◾ Debugging

      chapter 13|20 pages

      ◾ Using External Modules: The Python Interface to R

      chapter 14|18 pages

      ◾ Building Program Pipelines

      chapter 15|24 pages

      ◾ Writing Good Programs

      chapter 16|14 pages

      ◾ Creating Scientific Diagrams

      chapter 17|22 pages

      ◾ Creating Molecule Images with PyMOL

      chapter 18|24 pages

      ◾ Manipulating Images

      chapter 19|16 pages

      ◾ Working with Sequence Data

      chapter 20|12 pages

      ◾ Retrieving Data from Web Resources

      chapter 21|20 pages

      ◾ Working with 3D Structure Data

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