Loving Common Lisp, or the Savvy Programmer's Secret Weapon

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Common Lisp, artificial intelligence, knowledge representation, LLMs, neural networks, deep learning

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Loving Common Lisp, or the Savvy Programmer's Secret Weapon44 chapters

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  1. Cover Material, Copyright, and License

  2. Preface

  3. Introduction

  4. Common Lisp Basics

  5. Quicklisp

  6. Defining Lisp Functions

  7. Defining Common Lisp Macros

  8. Using Common Lisp Loop Macros

  9. Common Lisp Package System

  10. Input and Output

  11. Plotting Data

  12. Common Lisp Object System - CLOS

  13. Network Programming

  14. Using the Brave Search APIs

  15. Accessing Relational Databases

  16. Using MongoDB, Solr NoSQL Data Stores

  17. Natural Language Processing

  18. Information Gathering

  19. Using The CL Machine-Learning Library

  20. Backpropagation Neural Networks

  21. Hopfield Neural Networks

  22. Using Python Deep Learning Models In Common Lisp With a Web Services Interface

  23. Using the PY4CL Library to Embed Python in Common Lisp

  24. Semantic Web and Linked Data

  25. Implementing a Simple RDF Datastore and Partial SPARQL Support in Common Lisp

  26. Automatically Generating Data for Knowledge Graphs

  27. Knowledge Graph Sampler for Creating Small Custom Knowledge Graphs

  28. Knowledge Graph Navigator Common Library Implementation

  29. Knowledge Graph Navigator Text-Based User Interface

  30. Knowledge Graph Navigator User Interface Using LispWorks CAPI

  31. Using the OpenAI and Mistral APIs

  32. Using Local LLMs With Ollama

  33. Using the Perplexity Sonar Web Search and LLM APIs

  34. Moonshot’s Kimi K2 Model

  35. Using the Hugging Face Deep Learning Natural Language Processing APIs

  36. Using a Local Document Embeddings Vector Database With OpenAI GPT-5 APIs for Semantically Querying Your Own Data

  37. Prompt Engineering for Large Language Models

  38. Client Library for the Google Gemini LLM APIs

  39. Client Library for the Tavily Web Search APIs

  40. AutoContext: Prepare Effective Prompts with Context for LLM Queries

  41. Agents Orchestrating LLM Tool Use

  42. More Agents Using X’s Grok and Perplexity APIs

  43. Using Common Lisp with Wolfram/One

  44. Book Wrapup