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

Course overview

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

60 chapters
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The Book

Loving Common Lisp, or the Savvy Programmer's Secret Weapon60 chapters

Begin
  1. Cover Material, Copyright, and License

  2. Preface

  3. Introduction

  4. Part 1: Common Lisp Fundamentals

  5. Common Lisp Basics

  6. Quicklisp

  7. Defining Lisp Functions

  8. Defining Common Lisp Macros

  9. Using Common Lisp Loop Macros

  10. Common Lisp Package System

  11. Input and Output

  12. Part 2: Objects, Data, Databases, and the Web

  13. Common Lisp Object System - CLOS

  14. Plotting Data

  15. Network Programming

  16. One Interface for Brave, Tavily, and Perplexity Web Search APIs

  17. Accessing Relational Databases

  18. Part 3: Text, Language, and the Web as Data

  19. Natural Language Processing

  20. Information Gathering Using DBPedia Lookup

  21. Web Scraping

  22. Interfacing with External Programs: A Lightpanda Browser Client

  23. Part 4: Classic AI: Symbolic Mathematics, Probability, and Neural Networks

  24. Symbolic Mathematics in Common Lisp

  25. Overview of Probability

  26. Backpropagation Neural Networks

  27. Hopfield Neural Networks

  28. Anomaly Detection

  29. A Rubber Bridge Game with AI Players

  30. Part 5: Knowledge Graphs and the Semantic Web

  31. Semantic Web and Linked Data

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

  33. Automatically Generating Data for Knowledge Graphs

  34. Knowledge Graph Sampler for Creating Small Custom Knowledge Graphs

  35. Knowledge Graph Navigator Common Library Implementation

  36. Knowledge Graph Navigator Text-Based User Interface

  37. Knowledge Graph Navigator User Interface Using LispWorks CAPI

  38. Building a Neural-Symbolic Knowledge Graph Engine in Common Lisp

  39. Part 6: Local Large Language Models

  40. Building a MicroGPT in Common Lisp

  41. One Library, Many LLM Providers: the litelm Library

  42. Advanced Reasoning with World Models and LLMs: The llm-reasoning Library

  43. Using Local LLMs With Ollama

  44. Image Processing With Local Ollama Models

  45. Knowledge Base Navigator: Building an AI-Powered Information System

  46. Part 7: Prompting, Retrieval, and Agentic Applications

  47. Using a Local Document Embeddings Vector Database for Semantically Querying Your Own Data

  48. Agentic RAG Using the Gemini LLM APIs

  49. Prompt Engineering for Large Language Models

  50. Client Library for the Google Gemini LLM APIs

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

  52. AI-Powered Text Adventure Game

  53. A Persistent LLM Cache with SQLite

  54. A Daily-Use Gemini REPL with Search Grounding and Persistent Cache

  55. Building an AI Coding Assistant for Common Lisp

  56. Hacking the SBCL REPL

  57. Part 8: macOS Specific Code Experiments

  58. WebKit Applications - macOS Only

  59. macOS Automation with AppleScript and SQLite - macOS Only

  60. Book Wrapup