Deploying to main from @ resampling-stats/resampling-with@2fec7a0 🚀

Author: matthew-brett

about_technology.html

@@ -443,10 +443,11 @@ <h1 class="title"><span id="sec-about-technology" class="quarto-section-identifi
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-<p>This chapter introduces you to the technology we will use throughout the book. By <em>technology</em>, we mean two things:</p>
+<p>This chapter introduces you to the technology we will use throughout the book. By <em>technology</em>, we mean three things:</p>
 <ul>
-<li>The Python programming language, along with some important add-on libraries for data analysis.</li>
+<li>The Python programming language<span class="python">, along with some important add-on libraries for data analysis</span>.</li>
 <li>The Jupyter notebook system for running and editing Python code in a web interface.</li>
+<li>Software that allows you to run Python code on your own computer, using Jupyter.</li>
 </ul>
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@@ -474,7 +475,7 @@ <h2 data-number="4.1" class="anchored" data-anchor-id="python-and-its-packages">
 <p>It is crucial to our purpose that Python is a <em>programming language</em> and not a set of canned routines for “doing statistics”. It means that we can explore the <em>ideas</em> of probability and statistics using the <em>language</em> of Python to express those ideas. It also means that you, and we, and anyone else in the world, can write new code to share with others, so they can use our work, understand it, and improve it. This book is one example; we have written the Python code in this book as clearly as we can to make it easy to follow, and to explain the underlying ideas. We hope you will help us by testing what we have done and sending us suggestions for ways we could improve. Please see <a href="preface_third.html#sec-book-as-public" class="quarto-xref"><span>Section 6</span></a> for more information about how to do that.</p>
 <section id="the-environment" class="level2" data-number="4.2">
 <h2 data-number="4.2" class="anchored" data-anchor-id="the-environment"><span class="header-section-number">4.2</span> The environment</h2>
-<p>Many of the chapters have sections with code for you to run, and experiment with. These sections contain <em>Jupyter notebooks</em>[^jupyter-nb]. Jupyter notebooks are interactive web pages that allow you to read, write and run Python code. We mark the start of each notebook in the text with a note-and-link heading like the one you see below. In the web edition of this book, you can click on the <em>Download</em> link in this heading to download the section as a notebook. You can also click on the <em>Interact</em> link to open the notebook in your web browser, using a system called JupyterLite. JupyterLite allows you to run the code in your browser, and experiment by making changes.</p>
+<p>Many of the chapters have sections with code for you to run, and experiment with. These sections contain <a href="https://docs.jupyter.org">Jupyter notebooks</a>. Jupyter notebooks are interactive web pages that allow you to read, write and run Python code. We mark the start of each notebook in the text with a note-and-link heading like the one you see below. In the web edition of this book, you can click on the <em>Download</em> link in this heading to download the section as a notebook. You can also click on the <em>Interact</em> link to open the notebook in your web browser, using a system called JupyterLite. JupyterLite allows you to run the code in your browser, and experiment by making changes.</p>
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