Github repository update: December 2020: all examples are also provided in Python (the book discusses the Hy language versions of the examples).

Updated July 31, 2020: I corrected several typos, added more descriptive text, fixed a possible installation problem for the NLP coreference example, and did some rework on the semantic web material (knowledge Graphs).

Updated   June 7,   2020: I   added two chapters on using the   Bing Search APIs and on  my Knowledge Graph Navigator project. Several other minor changes.

While this is a book on the Hy Lisp language, all example programs are also provided in Python.

In addition to being a tutorial and cookbook on using the Hy language, longer examples explore a variety of different applications and tools. The current structure of the book is:

• Introduction to the Hy Language
• Why use Lisp? Advantages of bottom up development using macros and closures
• Relational databases
• Web app development
• Web scraping
• Using the Bing search APIs
• Accessing semantic web and linked data sources like Wikipedia, DBpedia, and Wikidata
• Automatically constructing Knowledge Graphs from text documents, semantic web and linked data
• Deep Learning (predictive model from spreadsheet data and a LSTM-based English text language model)
• Natural Language Processing (NLP) using Deep Learning
• Creating Knowledge Graphs from text data
• Hy language implementation of the author's Knowledge Graph Navigator project

This book (and all of my Leanpub books) are also available for free on my web site https://markwatson.com/books/ if you would like them for free.