Practical Common Lisp

* Treats LISP as a language for commercial applications, not a language for academic AI concerns. This could be considered to be a secondary text for the Lisp course that most schools teach . This would appeal to students who sat through a LISP course in college without quite getting it - so a "nostalgia" approach, as in "wow-lisp can be practical..."

"Lisp is thought of an academic language but it need not be. This is the first book that introduces Lisp as a language for the real world.Part I is the introduction to the Lisp language. The goal in Part I is to give the reader an overall understanding of the features of the language and a sufficiently robust understanding of how they work in order to prepare the reader for the practical code examples in Part II. Part I includes the case studies of the Franz Store, Viaweb, Pandorabots, and ASCENT.Part II will show larger-scale examples of practical Lisp programming. The practical examples in this section are all centered around building a streaming mp3 server. By the end of the book, the reader will have code for a Lisp mp3 server that serves streaming mp3s via the Shoutcast protocol to any standard mp3 client software (e.g. iTunes, XMMS, or WinAmp). Siebel will show how to store metadata in both a simple home-brew sexp database as well as a relational database (MySQL). He will demonstrate how to use threads to support multiple simultaneous client connections. The server will advertise a Web Service (WSDL) interface and a Web Services programmer (i.e. anyone with Visual Studio .NET) can write an app to replace the browser-based interface.Common Lisp: LISP, an acronym for list processing language was designed for easy manipulation of data. Developed in 1959 by John McCarthy, it is still the most commonly used language for artificial intelligence (AI) programming. It is one of the oldest programming languages still in relatively wide use and is widely taught in universities. LISP's ability to compute with symbolic expressions like those used in language processing makes it convenient for AI applications. TOC:Chapter 1: Lather, Rinse, Repeat: A Tour of the REPL; Chapter 2: They Called It LISP for a Reason: List Processing; Chapter 3: Control Your Destiny: Conditionals and Iteration; Chapter 4: Advanced Control Flow; Chapter 5: Strings and Characters; Chapter 6: Up Scope! Variables in Lisp; Chapter 7: Putting the Fun in Functions; Chapter 8: Numbers and Math; Chapter 9: Not Just For Lists: Arrays, Sequences and Hashtables; Chapter 10: Talking to the Rest of the World: Streams; Chapter 11: The Programmable Programming Language: Macros; Chapter 12: Programming in the Large: Packages and Symbols; Chapter 13: Object Reorientation: Object Oriented Lisp; Chapter 14: Beyond Exception Handling: Conditions and Restarts; hapter 15: Turtles All the Way Down: Metaobject Programming; Chapter 16: Debugging Lisp Programs"

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