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Learning Perl, also known as the llama book, [1] is a tutorial book for the Perl programming language, and is published by O'Reilly Media.The first edition (1993) was authored solely by Randal L. Schwartz, and covered Perl 4.
Elbert is a software engineer retired from the telecom industry. Linda Lamb is a former O'Reilly employee. [citation needed] In his 2008 review of the 7th edition for Dr. Dobb's Journal, author Mike Riley compared the coverage afforded by the book to a combination of the Vim online documentation and O'Reilly's vi Editor Pocket Reference. While ...
This is an accepted version of this page This is the latest accepted revision, reviewed on 23 February 2025. High-level programming language Not to be confused with Java (programming language), Javanese script, or ECMAScript. JavaScript Screenshot of JavaScript source code Paradigm Multi-paradigm: event-driven, functional, imperative, procedural, object-oriented Designed by Brendan Eich of ...
The 7th edition, or ECMAScript 2016, was finalized in June 2016. [5] Its features include exponentiation operator ** for numbers, await, async keywords for asynchronous programming (as a preparation for ES2017), and the Array.prototype.includes function. [5]
Third edition (2000; 1104 pages; covers Perl 5.6; ISBN 978-0-596-00027-1) Fourth edition (2012; 1184 pages; covers Perl 5.14; ISBN 978-0-596-00492-7) The second edition of the book was the best-selling book in the O'Reilly Media catalog in 1996, and one of the top 100 selling books in any category at Borders in 1996. [6]
O'Reilly Media, Inc. (formerly O'Reilly & Associates) is an American learning company established by Tim O'Reilly that provides technical and professional skills development courses via an online learning platform. O'Reilly also publishes books about programming and other technical content.
MIT Press published the first edition in 1984, and the second edition in 1996. It was used as the textbook for MIT's introductory course in computer science from 1984 to 2007. SICP focuses on discovering general patterns for solving specific problems, and building software systems that make use of those patterns.
Originally, Rhino compiled all JavaScript code to Java bytecode in generated Java class files. This produced the best performance, often beating the C++ implementation of JavaScript run with just-in-time compilation (JIT), but suffered from two faults. First, compiling time was long since generating bytecode and loading the generated classes ...