Mastering python for bioinformatics: how to write flexible, documented, tested python... 799 ₴

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 tools including linters, formatters, type checkers,
and tests 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()

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