A Lisp Programmer Living in Python-Land: The Hy Programming Language: All examples are provided in both Hy and Python

Table of Contents
Preface
	Setting Up Your Development Environment
	What is Lisp Programming Style?
	Hy is Python, But With a Lisp Syntax
	How This Book Reflects My Views on Artificial Intelligence and the Future of Society and Technology
	About the Book Cover
	A Request from the Author
	Acknowledgements
Introduction to the Hy Language
	We Will Often Use the Contributed let Macro in Book Example Code
	Using Python Libraries
	Global vs. Local Variables
	Using Python Code in Hy Programs
	Using Hy Libraries in Python Programs
	Replacing the Python slice (cut) Notation with the Hy Functional Form
	Iterating Through a List With Index of Each Element
	Formatted Output
	Importing Libraries from Different Directories on Your Laptop
	Using Closures
	Hy Looks Like Clojure: How Similar Are They?
	Plotting Data Using the Numpy and the Matplotlib Libraries
	Bonus Points: Configuration for macOS and ITerm2 for Generating Plots Inline in a Hy REPL and Shell
Why Lisp?
	I Hated the Waterfall Method in the 1970s but Learned to Love a Bottom-Up Programming Style
	First Introduction to Lisp
	Commercial Product Development and Deployment Using Lisp
	Hy Macros Let You Extend the Hy Language in Your Programs
	Performing Bottom Up Development Inside a REPL is a Lifestyle Choice
Writing Web Applications
	Getting Started With Flask: Using Python Decorators in Hy
	Using Jinja2 Templates To Generate HTML
	Handling HTTP Sessions and Cookies
	Deploying Hy Language Flask Apps to Google Cloud Platform AppEngine
	Deploying Hy Language Flask Apps to the Heroku Platform
	Wrap-up
Responsible Web Scraping
	Using the Python BeautifulSoup Library in the Hy Language
	Getting HTML Links from the DemocracyNow.org News Web Site
	Getting Summaries of Front Page from the NPR.org News Web Site
Using the Microsoft Bing Search APIs
	Getting an Access Key for Microsoft Bing Search APIs
	Example Search Script
	Wrap-up
Deep Learning
	Simple Multi-layer Perceptron Neural Networks
	Deep Learning
	Using Keras and TensorFlow to Model The Wisconsin Cancer Data Set
	Using a LSTM Recurrent Neural Network to Generate English Text Similar to the Philosopher Nietzsche's writing
Natural Language Processing
	Exploring the spaCy Library
	Implementing a HyNLP Wrapper for the Python spaCy Library
	Coreference (Anaphora Resolution)
	Wrap-up
Datastores
	Sqlite
	PostgreSQL
	RDF Data Using the ``rdflib'' Library
	Wrap-up
Linked Data and the Semantic Web
	Understanding the Resource Description Framework (RDF)
	Resource Namespaces Provided in rdflib
	Understanding the SPARQL Query Language
	Wrapping the Python rdflib Library
Knowledge Graph Creator
	Recommended Industrial Use of Knowledge Graphs
	Design of KGCreator Application
	Problems with using Literal Values in RDF
	Revisiting This Example Using URIs Instead of Literal Values
	Wrap-up
Knowledge Graph Navigator
	Review of NLP Utilities Used in Application
	Developing Low-Level Caching SPARQL Utilities
	Utilities to Colorize SPARQL and Generated Output
	Text Utilities for Queries and Results
	Finishing the Main Function for KGN
	Wrap-up
Book Wrap-up