Words to Paragraphs. Back Matter. In More OCaml John Whitington takes a meandering tour of functional programming with OCaml, introducing various language features and describing some classic algorithms.
The book ends with a large worked example dealing with the production of PDF files. There are questions for each chapter together with worked answers and hints. More OCaml will appeal both to existing OCaml programmers who wish to brush up their skills, and to experienced programmers eager to explore functional languages such as OCaml.
It is hoped that each reader will find something new, or see an old thing in a new light. For the more casual reader, or those who are used to a different functional language, a summary of basic OCaml is provided at the front of the book. If you buy the book, please do consider leaving a review on Amazon, which you can do even if you buy just the PDF eBook.
Owing to the print-on-demand process we're using, it's simple to update the book to fix the few errata which have been pointed out by kind readers since publication. The new text is now live on Amazon , the Kindle Store , and our website. Despite this, the book is concise and to the point, explaining the basic underpinnings of OCaml and of functional programming in an accessible way.
The book is also thoughtfully typeset and laid out, with exercises and summaries interspersed, and layout used to illustrate complex ideas like type inference and evaluation of recursive functions. All told, a wonderful book that is especially well suited to someone new to programming. Very interesting By Caius Iulius Complete but simple to read.
Very usefull book for early beginners of this language. It is perhaps the missing book on OCaml. OCaml OOP not enough covered. Easy Introduction By Who cares A very good and simple introduction to the basics of this amazing language. Short, easily digested chapters introduce each new concept. More advanced concepts are only briefly covered such as modules. Functors and OO are not covered. You can learn to use Python and see almost immediate gains in productivity and lower maintenance costs.
What you will learn: Distilled best practices and tips How interpreted languages work Using basic types such as Strings, Integers, and Floats Best practices for using the interpreter during development The difference between mutable and immutable data Sets, Lists, and Dictionaries, and when to use each Gathering keyboard input How to define a class Looping constructs Handling Exceptions in code Slicing sequences Creating modular code Using libraries Laying out code Community prescribed conventions.
However, the most important change was to the development process itself, with a shift to a more transparent and community-backed process.
Many of its major features have also been backported to the backwards-compatible Python 2. Also in this initial release was a module system borrowed from Modula-3; Van Rossum describes the module as "one of Python's major programming units. The major new features included in this release were the functional programming tools lambda, map, filter and reduce.
Van Rossum stated that "Python acquired lambda, reduce , filter and map , courtesy of a Lisp hacker who missed them and submitted working patches. By version 1. Notable among these are the Modula-3 inspired keyword arguments which are also similar to Common Lisp's keyword arguments and built-in support for complex numbers. Also included is a basic form of data hiding by name mangling, though this is easily bypassed. Python served a central role in this: because of its focus on clean syntax, it was already suitable, and CP4E's goals bore similarities to its predecessor, ABC.
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