Common Lisp’s reach becomes clearer when you see it at work: not just in basic language examples, but in programs for networking, data stores, natural language processing, machine learning, and knowledge graphs. Mark Watson’s sixth edition starts with the fundamentals, then builds toward those broader applications one practical topic at a time.
Start with the language and its working tools
The opening material covers Common Lisp basics and the development environment, including SBCL, the REPL, and Quicklisp. From there, the book introduces functions, macros, iteration, packages, input and output, and the Common Lisp Object System (CLOS). This progression gives readers a foundation for understanding the larger examples that follow.
See Lisp applied to real programming tasks
Later chapters take Common Lisp into network programming, REST client-server examples, relational databases, and MongoDB and Solr. The book also explores natural language processing and information gathering, then turns to machine-learning examples such as clustering, support-vector classification, and neural networks.
Connect Common Lisp with other systems
Python interoperability, including examples using Python-based language-processing services, shows how Lisp applications can work alongside tools written in another language. Further chapters explore generating data for knowledge graphs and building a knowledge-graph navigator, bringing together code, data, and semantic-web ideas.
A broad, example-led introduction
Rather than stopping after syntax and language features, this book follows Common Lisp into a varied set of software projects. It may suit programmers building their first grounding in the language as well as developers curious about Lisp’s use in AI, data-oriented applications, and networked software.
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