Update URL, Title and Description

Author: mooreryan

README.md

@@ -1,5 +1,7 @@
-# Practical Python Programming for Life Scientists
+# Applied Python Programming for Life Scientists
+
+[*Applied Python Programming for Life Scientists: From Fundamentals to Algorithmic Thinking and Data-Driven Discovery*](https://appliedpythonprogramming.com/) is a beginner-friendly Python textbook for life scientists and biologists. Learn Python programming, build problem-solving skills, develop algorithmic thinking, and apply data-driven methods to research.
 
 ## License
 
-<p xmlns:cc="http://creativecommons.org/ns#" xmlns:dct="http://purl.org/dc/terms/"><a property="dct:title" rel="cc:attributionURL" href="https://github.com/mooreryan">Practical Python Programming for Life Scientists</a> by <a rel="cc:attributionURL dct:creator" property="cc:attributionName" href="https://orcid.org/0000-0003-3337-8184">Ryan M. Moore</a> is licensed under <a href="https://creativecommons.org/licenses/by/4.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer" style="display:inline-block;">CC BY 4.0<img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg?ref=chooser-v1" alt=""><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1" alt=""></a></p>
+<p xmlns:cc="http://creativecommons.org/ns#" xmlns:dct="http://purl.org/dc/terms/"><a property="dct:title" rel="cc:attributionURL" href="https://github.com/mooreryan">Applied Python Programming for Life Scientists</a> by <a rel="cc:attributionURL dct:creator" property="cc:attributionName" href="https://orcid.org/0000-0003-3337-8184">Ryan M. Moore</a> is licensed under <a href="https://creativecommons.org/licenses/by/4.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer" style="display:inline-block;">CC BY 4.0<img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg?ref=chooser-v1" alt=""><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1" alt=""></a></p>

_quarto.yml

@@ -12,8 +12,8 @@ date-modified: last-modified
 
 book:
   # Basic info
-  title: "Practical Python Programming for Life Scientists"
-  description: "Learn essential Python programming skills tailored for life science research. This practical guide helps biology and life science students with no prior coding experience develop fundamental programming and data analysis skills."
+  title: "Applied Python Programming for Life Scientists: From Fundamentals to Algorithmic Thinking and Data-Driven Discovery"
+  description: "A beginner-friendly Python textbook for life scientists and biologists. Learn Python programming, build problem-solving skills, develop algorithmic thinking, and apply data-driven methods to research."
   author: "Ryan M. Moore, PhD"
   date: "2025-02-05"
 
@@ -93,7 +93,7 @@ book:
   open-graph: true
 
   # GitHub
-  site-url: https://pythonforlifescientists.com
+  site-url: https://appliedpythonprogramming.com
   repo-url: https://github.com/mooreryan/practical_python
   repo-branch: main
   repo-actions: [issue, source]

index.qmd

@@ -1,11 +1,9 @@
 # Introduction {.unnumbered}
 
-Welcome to Practical Python Programming for Life Scientists! This book is designed for biology and life science students with little to no prior coding experience. Rather than aiming to make you Python experts, the goal is to help you develop fundamental programming concepts and data analysis skills using Python as a practical tool.
+Welcome to *Applied Python Programming for Life Scientists: From Fundamentals to Algorithmic Thinking and Data-Driven Discovery*! This book is designed for biology and life science students with little to no prior coding experience. Rather than aiming to make you Python experts, the goal is to help you develop fundamental programming concepts and data analysis skills using Python as a practical tool.
 
 The content progresses from basic syntax through algorithms, functions, classes, error handling, data science applications, and testing methodologies. Each concept is presented with life science examples to show how programming principles can enhance your research capabilities.
 
-This resource serves as an introduction to computational thinking in biological contexts, providing a solid foundation to approach scientific questions from a programming perspective and to effectively incorporate data analysis using Python into your research workflow.
+This resource serves as an introduction to computational and algorithmic thinking in biological contexts, providing a solid foundation to approach scientific questions from a programming perspective and to effectively incorporate data analysis using Python into your research workflow.
 
-_Note:  This book is a work in progress and will continue to evolve with student feedback. Some sections may still be in development, with the main chapters expected to be finished by May 2025._
-
-<p xmlns:cc="http://creativecommons.org/ns#" xmlns:dct="http://purl.org/dc/terms/"><a property="dct:title" rel="cc:attributionURL" href="https://github.com/mooreryan">Practical Python Programming for Life Scientists</a> by <a rel="cc:attributionURL dct:creator" property="cc:attributionName" href="https://orcid.org/0000-0003-3337-8184">Ryan M. Moore</a> is licensed under <a href="https://creativecommons.org/licenses/by/4.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer" style="display:inline-block;">CC BY 4.0<img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg?ref=chooser-v1" alt=""><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1" alt=""></a></p>
+<p xmlns:cc="http://creativecommons.org/ns#" xmlns:dct="http://purl.org/dc/terms/"><a property="dct:title" rel="cc:attributionURL" href="https://github.com/mooreryan">Applied Python Programming for Life Scientists: From Fundamentals to Algorithmic Thinking and Data-Driven Discovery</a> by <a rel="cc:attributionURL dct:creator" property="cc:attributionName" href="https://orcid.org/0000-0003-3337-8184">Ryan M. Moore</a> is licensed under <a href="https://creativecommons.org/licenses/by/4.0/?ref=chooser-v1" target="_blank" rel="license noopener noreferrer" style="display:inline-block;">CC BY 4.0<img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/cc.svg?ref=chooser-v1" alt=""><img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1" alt=""></a></p>

robots.txt

@@ -1,3 +1,3 @@
 User-agent: *
 Allow: /
-Sitemap: https://pythonforlifescientists.com/sitemap.xml
+Sitemap: https://appliedpythonprogramming.com/sitemap.xml