New Build: Linked to GitHub on Introduction page

Author: ecmatz

build/doctrees/content/m1/introduction.doctree

@@ -6,7 +6,9 @@ The purpose of this site and the accompanying material found on our YouTube chan
 
 First, the course will teach you about each sensor, providing you with the base knowledge needed to understand and use them. From there, you will use your application development techniques to learn how to combine these two fields, first in a desktop application, and then in virtual reality. Lastly, a core goal of this tutorial series is to teach proper data collection and analysis using these physiological sensors, so that you can produce meaningful results from your studies. 
 
-We hope that you find this tool useful, and put the time and effort into developing your skills in the two rapidly growing areas of application development and physiological sensor data collection. Ultimately, the intersection of these fields is only going to become more pervasive in the future, so having the ability to integrate them successfully is a valuable skill to have.
+We hope that you find this tool useful, and put the time and effort into developing your skills in the two rapidly growing areas of application development and physiological sensor data collection. Ultimately, the intersection of these fields is only going to become more pervasive in the future, so having the ability to integrate them successfully is a valuable skill to have. 
+
+Code for this website can be found `here <https://github.com/tarstutorials/vrsensorint>`_ on our GitHub page. Additionally, the Unity projects used in the creation of this site have been uploaded to our GitHub page as well, at `TarsTutorials <https://github.com/tarstutorials>`_. Each project is named with the prefix "vrsensorint-", so that you know which repositories are associated with this website.
 
 .. note::
     The tutorials presented here assume some prerequisite knowledge on programming. While the modules will go in-dpeth into Unity specific functions, general C# will not be taught. It is highly recommended to obtain knowledge of C# or a similar object-oriented programming language before partaking in this tutorial set.

build/doctrees/environment.pickle

@@ -105,6 +105,7 @@ <h1>Introduction to the Course<a class="headerlink" href="#introduction-to-the-c
 <p>The purpose of this site and the accompanying material found on our YouTube channel is to provide a crash course in Unity development, beginning with the basic techniques used in mobile applications and continuing into more advanced techniques used in virtual reality development. Once you are comfortable with using Unity in both spaces, the aim of the tutorials shifts to integrating real world physiological sensors with these applications.</p>
 <p>First, the course will teach you about each sensor, providing you with the base knowledge needed to understand and use them. From there, you will use your application development techniques to learn how to combine these two fields, first in a desktop application, and then in virtual reality. Lastly, a core goal of this tutorial series is to teach proper data collection and analysis using these physiological sensors, so that you can produce meaningful results from your studies.</p>
 <p>We hope that you find this tool useful, and put the time and effort into developing your skills in the two rapidly growing areas of application development and physiological sensor data collection. Ultimately, the intersection of these fields is only going to become more pervasive in the future, so having the ability to integrate them successfully is a valuable skill to have.</p>
+<p>Code for this website can be found <a class="reference external" href="https://github.com/tarstutorials/vrsensorint">here</a> on our GitHub page. Additionally, the Unity projects used in the creation of this site have been uploaded to our GitHub page as well, at <a class="reference external" href="https://github.com/tarstutorials">TarsTutorials</a>. Each project is named with the prefix “vrsensorint-”, so that you know which repositories are associated with this website.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>The tutorials presented here assume some prerequisite knowledge on programming. While the modules will go in-dpeth into Unity specific functions, general C# will not be taught. It is highly recommended to obtain knowledge of C# or a similar object-oriented programming language before partaking in this tutorial set.</p>

build/html/_sources/content/m1/introduction.rst.txt

@@ -6,7 +6,9 @@ The purpose of this site and the accompanying material found on our YouTube chan
 
 First, the course will teach you about each sensor, providing you with the base knowledge needed to understand and use them. From there, you will use your application development techniques to learn how to combine these two fields, first in a desktop application, and then in virtual reality. Lastly, a core goal of this tutorial series is to teach proper data collection and analysis using these physiological sensors, so that you can produce meaningful results from your studies. 
 
-We hope that you find this tool useful, and put the time and effort into developing your skills in the two rapidly growing areas of application development and physiological sensor data collection. Ultimately, the intersection of these fields is only going to become more pervasive in the future, so having the ability to integrate them successfully is a valuable skill to have.
+We hope that you find this tool useful, and put the time and effort into developing your skills in the two rapidly growing areas of application development and physiological sensor data collection. Ultimately, the intersection of these fields is only going to become more pervasive in the future, so having the ability to integrate them successfully is a valuable skill to have. 
+
+Code for this website can be found `here <https://github.com/tarstutorials/vrsensorint>`_ on our GitHub page. Additionally, the Unity projects used in the creation of this site have been uploaded to our GitHub page as well, at `TarsTutorials <https://github.com/tarstutorials>`_. Each project is named with the prefix "vrsensorint-", so that you know which repositories are associated with this website.
 
 .. note::
     The tutorials presented here assume some prerequisite knowledge on programming. While the modules will go in-dpeth into Unity specific functions, general C# will not be taught. It is highly recommended to obtain knowledge of C# or a similar object-oriented programming language before partaking in this tutorial set.

build/html/content/m1/introduction.html

@@ -105,6 +105,7 @@ <h1>Introduction to the Course<a class="headerlink" href="#introduction-to-the-c
 <p>The purpose of this site and the accompanying material found on our YouTube channel is to provide a crash course in Unity development, beginning with the basic techniques used in mobile applications and continuing into more advanced techniques used in virtual reality development. Once you are comfortable with using Unity in both spaces, the aim of the tutorials shifts to integrating real world physiological sensors with these applications.</p>
 <p>First, the course will teach you about each sensor, providing you with the base knowledge needed to understand and use them. From there, you will use your application development techniques to learn how to combine these two fields, first in a desktop application, and then in virtual reality. Lastly, a core goal of this tutorial series is to teach proper data collection and analysis using these physiological sensors, so that you can produce meaningful results from your studies.</p>
 <p>We hope that you find this tool useful, and put the time and effort into developing your skills in the two rapidly growing areas of application development and physiological sensor data collection. Ultimately, the intersection of these fields is only going to become more pervasive in the future, so having the ability to integrate them successfully is a valuable skill to have.</p>
+<p>Code for this website can be found <a class="reference external" href="https://github.com/tarstutorials/vrsensorint">here</a> on our GitHub page. Additionally, the Unity projects used in the creation of this site have been uploaded to our GitHub page as well, at <a class="reference external" href="https://github.com/tarstutorials">TarsTutorials</a>. Each project is named with the prefix “vrsensorint-”, so that you know which repositories are associated with this website.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>The tutorials presented here assume some prerequisite knowledge on programming. While the modules will go in-dpeth into Unity specific functions, general C# will not be taught. It is highly recommended to obtain knowledge of C# or a similar object-oriented programming language before partaking in this tutorial set.</p>

build/html/searchindex.js

@@ -6,7 +6,9 @@ The purpose of this site and the accompanying material found on our YouTube chan
 
 First, the course will teach you about each sensor, providing you with the base knowledge needed to understand and use them. From there, you will use your application development techniques to learn how to combine these two fields, first in a desktop application, and then in virtual reality. Lastly, a core goal of this tutorial series is to teach proper data collection and analysis using these physiological sensors, so that you can produce meaningful results from your studies. 
 
-We hope that you find this tool useful, and put the time and effort into developing your skills in the two rapidly growing areas of application development and physiological sensor data collection. Ultimately, the intersection of these fields is only going to become more pervasive in the future, so having the ability to integrate them successfully is a valuable skill to have.
+We hope that you find this tool useful, and put the time and effort into developing your skills in the two rapidly growing areas of application development and physiological sensor data collection. Ultimately, the intersection of these fields is only going to become more pervasive in the future, so having the ability to integrate them successfully is a valuable skill to have. 
+
+Code for this website can be found `here <https://github.com/tarstutorials/vrsensorint>`_ on our GitHub page. Additionally, the Unity projects used in the creation of this site have been uploaded to our GitHub page as well, at `TarsTutorials <https://github.com/tarstutorials>`_. Each project is named with the prefix "vrsensorint-", so that you know which repositories are associated with this website.
 
 .. note::
     The tutorials presented here assume some prerequisite knowledge on programming. While the modules will go in-dpeth into Unity specific functions, general C# will not be taught. It is highly recommended to obtain knowledge of C# or a similar object-oriented programming language before partaking in this tutorial set.