A Lisp Programmer Living in Python-Land: The Hy Programming Language

Course overview

Python, Lisp, AI, Hy HyLang, artificial intelligence, deep learning, TensorFlow, Keras, knowledge graphs, RDF, linked data, OpenAI, GPT, LangChain, Gemini, GPT-5, Ollama

26 chapters
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The Book

A Lisp Programmer Living in Python-Land: The Hy Programming Language26 chapters

Begin
  1. Cover Material, Copyright, and License

  2. Preface

  3. Introduction to the Hy Language

  4. Why Lisp?

  5. Writing Web Applications

  6. Responsible Web Scraping

  7. Using the Brave Search APIs

  8. Knowledge Graph Visualization with Hy and GraphViz

  9. Deep Learning

  10. Natural Language Processing

  11. Datastores

  12. Linked Data, the Semantic Web, and Knowledge Graphs

  13. Implementing a Simple RDF Datastore and SPARQL Engine in Hy

  14. Knowledge Graph Creator

  15. Knowledge Graph Navigator

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

  17. Using OpenAI GPT

  18. Using Google Gemini API

  19. Running Local LLMs Using Ollama

  20. Agents Using the Agno Agent Framework Running On a Local Ollama Model

  21. Using Perplexity Sonar Model for Combined Web Search and LLM Based Reasoning

  22. Using LangChain to Chain Together Large Language Models

  23. Large Language Models Experiments Using Google Colab

  24. RAG Using zvec Vector Datastore and Local Model

  25. Symbolic Mathematics

  26. Book Wrap-up