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<!DOCTYPE html>
<html lang="en">
<head>
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<title>Glossary | So You Want To Do Image Analysis With Python</title>
<meta
name="description"
content="Glossary of beginner-friendly computing and Python terms used throughout the course."
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<a class="skip-link" href="#main-content">Skip to content</a>
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<main class="page-main" id="main-content">
<div class="wrap page-layout">
<div class="lesson-content">
<section class="page-hero">
<p class="page-kicker">Glossary</p>
<h1>The “wait, what does that mean?” page</h1>
<p class="lead">
This is the quick-reference page for the terms that keep showing
up just often enough to be important and just vaguely enough to be annoying.
</p>
</section>
<section class="panel">
<h2>Core setup terms</h2>
<ul class="resource-list">
<li><strong>Terminal:</strong> a text-based interface for running commands.</li>
<li><strong>Shell:</strong> the program that reads and executes the commands you type.</li>
<li><strong>PATH:</strong> the list of folders the shell searches when you enter a command.</li>
<li><strong>Interpreter:</strong> the program that reads and runs Python code.</li>
<li><strong>Environment:</strong> an isolated Python workspace for one project or task.</li>
</ul>
</section>
<section class="panel">
<h2>Programming terms</h2>
<ul class="resource-list">
<li><strong>Variable:</strong> a name that refers to a value.</li>
<li><strong>String:</strong> a text value.</li>
<li><strong>Integer:</strong> a whole number.</li>
<li><strong>Float:</strong> a number with a decimal point.</li>
<li><strong>Boolean:</strong> a true or false value.</li>
<li><strong>List:</strong> an ordered collection of values.</li>
<li><strong>Dictionary:</strong> a collection of labelled values.</li>
<li><strong>Loop:</strong> a way to repeat an action over multiple values.</li>
<li><strong>Function:</strong> a reusable block of code with a name.</li>
</ul>
</section>
<section class="panel">
<h2>Notebook and image-analysis terms</h2>
<ul class="resource-list">
<li><strong>Cell:</strong> a code block or markdown block in a notebook.</li>
<li><strong>Kernel:</strong> the Python process that executes notebook code.</li>
<li><strong>Layer:</strong> one visual element in napari, such as an image or labels.</li>
<li><strong>Plugin:</strong> an add-on package that extends another application.</li>
<li><strong>Reproducibility:</strong> the ability to rerun an analysis and obtain the same result with the same setup.</li>
</ul>
</section>
</div>
<aside class="page-sidebar">
<section class="callout">
<h3>When to use this page</h3>
<p>
Use the glossary when a term feels familiar but still fuzzy. A
quick definition is often enough to get you unstuck and back into the lesson.
</p>
</section>
</aside>
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