Higher Order Perl Transforming Programs with Programs 2nd Edition by Mark Jason Dominus 9781558607019 1558607013

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ISBN 10: 1558607013
ISBN 13: 9781558607019
Author: Mark Jason Dominus

Most Perl programmers were originally trained as C and Unix programmers, so the Perl programs that they write bear a strong resemblance to C programs. However, Perl incorporates many features that have their roots in other languages such as Lisp. These advanced features are not well understood and are rarely used by most Perl programmers, but they are very powerful. They can automate tasks in everyday programming that are difficult to solve in any other way. One of the most powerful of these techniques is writing functions that manufacture or modify other functions. For example, instead of writing ten similar functions, a programmer can write a general pattern or framework that can then create the functions as needed according to the pattern. For several years Mark Jason Dominus has worked to apply functional programming techniques to Perl. Now Mark brings these flexible programming methods that he has successfully taught in numerous tutorials and training sessions to a wider audience.
* Introduces powerful programming methods—new to most Perl programmers—that were previously the domain of computer scientists
* Gradually builds up confidence by describing techniques of progressive sophistication
* Shows how to improve everyday programs and includes numerous engaging code examples to illustrate the methods

Higher Order Perl Transforming Programs with Programs 2nd Table of contents:

Chapter 1: Recursion and Callbacks
1.1 DECIMAL TO BINARY CONVERSION
1.2 FACTORIAL
1.3 THE TOWER OF HANOI
1.4 HIERARCHICAL DATA
1.5 APPLICATIONS AND VARIATIONS OF DIRECTORY WALKING
1.6 FUNCTIONAL VERSUS OBJECT-ORIENTED PROGRAMMING
1.7 HTML
1.8 WHEN RECURSION BLOWS UP

Chapter 2: Dispatch Tables
2.1 CONFIGURATION FILE HANDLING
2.2 CALCULATOR

Chapter 3: Caching and Memoization
3.1 CACHING FIXES RECURSION
3.2 INLINE CACHING
3.3 GOOD IDEAS
3.4 MEMOIZATION
3.5 THE MEMOIZE MODULE
3.6 CAVEATS
3.7 KEY GENERATION
3.8 CACHING IN OBJECT METHODS
3.9 PERSISTENT CACHES
3.10 ALTERNATIVES TO MEMOIZATION
3.11 EVANGELISM
3.12 THE BENEFITS OF SPEED

Chapter 4: Iterators
4.1 INTRODUCTION
4.2 HOMEMADE ITERATORS
4.3 EXAMPLES
4.4 FILTERS AND TRANSFORMS
4.5 THE SEMIPREDICATE PROBLEM
4.6 ALTERNATIVE INTERFACES TO ITERATORS
4.7 AN EXTENDED EXAMPLE: WEB SPIDERS

Chapter 5: From Recursion to Iterators
5.1 THE PARTITION PROBLEM REVISITED
5.2 HOW TO CONVERT A RECURSIVE FUNCTION TO AN ITERATOR
5.3 A GENERIC SEARCH ITERATOR
5.4 OTHER GENERAL TECHNIQUES FOR ELIMINATING RECURSION

Chapter 6: Infinite Streams
6.1 LINKED LISTS
6.2 LAZY LINKED LISTS
6.3 RECURSIVE STREAMS
6.4 THE HAMMING PROBLEM
6.5 REGEX STRING GENERATION
6.6 THE NEWTON-RAPHSON METHOD
6.7 POWER SERIES

Chapter 7: Higher-Order Functions and Currying
7.1 CURRYING
7.2 COMMON HIGHER-ORDER FUNCTIONS
7.3 reduce() AND combine()
7.4 DATABASES

Chapter 8: Parsing
8.1 LEXERS
8.2 PARSING IN GENERAL
8.3 RECURSIVE-DESCENT PARSERS
8.4 ARITHMETIC EXPRESSIONS
8.5 PARSING REGEXES
8.6 OUTLINES
8.7 DATABASE-QUERY PARSING
8.8 BACKTRACKING PARSERS
8.9 OVERLOADING

Chapter 9: Declarative Programming
9.1 CONSTRAINT SYSTEMS
9.2 LOCAL PROPAGATION NETWORKS
9.3 LINEAR EQUATIONS
9.4 linogram: A DRAWING SYSTEM
9.5 CONCLUSION

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