Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing

Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing

English | June 1st, 2021 | ISBN: 1098100883 | 456 Pages | True EPUB | 6.01 MB

Life scientists today urgently need training in bioinformatics skills. Too many bioinformatics programs are poorly written and barely maintained-usually by students and researchers who've never learned basic programming skills. This practical guide shows postdoc bioinformatics professionals and students how to exploit the best parts of Python to solve problems in biology while creating documented, tested, reproducible software.

Ken Youens-Clark, author of Tiny Python Projects (Manning), demonstrates not only how to write effective Python code but also how to use tests to write and refactor scientific programs. You'll learn the latest Python features and toolsa??including linters, formatters, type checkers, and testsa??to create documented and tested programs. You'll also tackle 14 challenges in Rosalind, a problem-solving platform for learning bioinformatics and programming.

Create command-line Python programs to document and validate parameters
Write tests to verify refactor programs and confirm they're correct
Address bioinformatics ideas using Python data structures and modules such as Biopython
Create reproducible shortcuts and workflows using makefiles
Parse essential bioinformatics file formats such as FASTA and FASTQ
Find patterns of text using regular expressions
Use higher-order functions in Python like filter(), map(), and reduce()

Download:

http://longfiles.com/g02an7d8asf7/Mastering_Python_for_Bioinformatics_-_Ken_Youens-Clark.epub.html

[Fast Download] Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research Computing


Related eBooks:
Web and Big Data. APWeb-WAIM 2020 International Workshops
Privacy and Identity Management
Advanced Concepts for Renewable Energy Supply of Data Centres
SQL: Complete Guide for Beginners to Learn and Mastering SQL
Data Mining with Python Quick Start Guide: A step by step beginner's guide into Data Mining
Responsible Data Science: Transparency and Fairness in Algorithms
Data Analysis Using SQL and Excel
MySQL Programming: Questions and Answers
Wrox Professional SQL Server 2005 Reporting Services
Non-Volatile In-Memory Computing by Spintronics
Webserver database with Visual Baisc
Beginning SQL Server for Developers: Fourth Edition
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.