Perl 07

Writing Perl Modules for CPAN (The Expert's Voice)

Autor: Sam Tregar

Einführung in PERL

Autor: Randal L. Schwartz

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Programación básica: Manual de Laboratorios 2023-2024

Autoren: Tomás A Pérez Fernández, Tomás A Pérez Fernández

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Extending and Embedding Perl

Tim Jenness, Simon Cozens

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Perl Hacks

Shane Warden, Damian Conway, Curtis Poe

Beginning Perl (Wrox Programmer to Programmerwrox Beginning Guides)

Curtis Poe

Perl Hacks. Tipps und Tools zum Programmieren, Debuggen und Überleben

Chromatic, Damian Conway, Curtis "Ovid" Poe

Beginning Perl for Bioinformatics (Classique Franc)

James Tisdall

Departing from O' Reilly's earlier monograph < I> Developing Bioinformatic Computer Skills, Tisdall's text is organized aggressively along didactic lines. Nearly all of the 13 chapters begin with twin bullet lists of Perl programming tools and the bioinformatic methods that require them. Likewise, the chapters end with exercises. String concatenation is illustrated with gene splicing, and regular expressions are taught with gene transcription and motif searching.

Tisdall emphasizes sequence examples throughout, leading up to an introduction to a Perl interface for the N I H Gen Bank biological database and the widely used B L A S T sequence alignment tool. After a brief discussion of three-dimensional protein structure, he returns to sequence extraction and secondary structure prediction.

Tisdall's goal is to boost the beginning programmer into a domain of self-learning. He imparts essential etiquette for the success of programming newbies: use the wealth or resources available, from user documentation to Web site surveys to F A Qs to How-To's to news groups and finally to direct personal appeals for help from a senior colleague. A well-plugged-in bioinformatics Perl student will soon discover Bioperl, an open-source effort to bring research-grade bioinformatic tools to the Perl community. Bioperl is described briefly at the end of Tisdall's book and will reportedly be a forthcoming title of its own in the O' Reilly bioinformatics series.

Although he introduces bioinformatics as an academic discipline, Tisdall treats it as a trade throughout his book. He indicates that open questions and computational hard problems exist, but does not describe what they are or how they are being tackled. Ultimately, Tisdall presents bioinformatics as another arrow in a bench scientist's quiver, very much like H P L C, 2 D-P A G E, and the various spectroscopies.

As odd as a "bioinformatics-as-tool" book may be to its research proponents, the reduction of bioinformatics to trade status both deflates and vindicates the years of research, as Tisdall's work attests. < I>-Peter Leopold

Randal Schwartz's Perls of Wisdom (Expert's Voice in Open Source)

Randal L. Schwartz

Learning Perl

Randal L. Schwartz Tom Phoenix & brian d foy

Minimal Perl: For Unix and Linux People

Tim Maher

Mastering Algorithms with Perl (Classique Us)

Jon Orwant, Jarkko Hietaniemi, John Macdonald

The best thing about < I> Mastering Algorithms in Perl is the scope at which it covers the universe of algorithms while refraining from getting bogged down in academic detail. Besides basic data structures-a lynchpin of books on algorithms-the authors provide dozens and dozens of algorithms for sorting, searching, and doing mathematical computations of all kinds. While they discuss " Big-O" notation and assume a general familiarity with math, they don't overwhelm the reader. ( You can even borrow the code without needing a math degree to understand it. ) The focus is on efficient, reusable Perl subroutines written and compiled by three Perl experts.

Standout chapters include extending Perl's already powerful string processing abilities, game programming, and cryptography. Generally, the authors achieve a good mix of more advanced (and less well-known) algorithms, along with the basics. Chances are you won't need to use all the dozen or so sorting algorithms presented here, but the authors include them all, just in case. As a reference and tutorial, readers can pick and choose what they need for real-world Perl development.

There hasn't been a book dedicated exclusively to Perl algorithms prior to the publication of this one. In all, < I> Mastering Algorithms in Perl fills a useful niche by compiling a powerful library of Perl algorithms that will be useful for anyone who works with this programming language, whether in business or academic computing. < I>-Richard Dragan

< B> Topics covered: Perl data types, Big-O notation, data structures, queues, deques, linked lists, binary trees, sorting and searching algorithms, game and dynamic programming, sets and multisets, matrices and graphs, string matching and parsing, 2-D geometry, number systems, cryptography (including D E S and R S A), probability, statistics, and numerical analysis.

Think Perl 6: How to Think Like a Computer Scientist (English Edition)

Autoren: Laurent Rosenfeld, Allen B. Downey

Mastering Algorithms with Perl: Practical Programming Through Computer Science (English Edition)

Autoren: John Macdonald, Jon Orwant, Jarkko Hietaniemi

Learning Perl Objects, References, and Modules (English Edition)

Autoren: Randal L. Schwartz, Tom Phoenix

Games, Diversions & Perl Culture: Best of the Perl Journal (English Edition)

Autor: Jon Orwant