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<p class="pf0"><span class="cf0"><strong>Welcome to Session 5: Preparing for the Sandbox!</strong> </span></p>
<p class="pf0"><span class="cf0">In this session, we will begin to explore the main elements of the <strong>Digital Earth Africa (DE Africa) Sandbox</strong>. This session introduces the Digital Earth Africa Sandbox and shows you how to sign up for it. We will then walk through an exercise exploring crop health data. By the end of this session, you will have the fundamentals to expand upon to move forward with using the DE Africa Sandbox.</span></p>
<p class="pf0"><em><span class="cf0"><strong>Note</strong>: It is not required to have previous experience in Earth observation data or Python coding. Each section includes instructions and screenshots that guide you through performing each task.</span></em></p>
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<p class="pf0"><span class="cf0">By the end of this session, you should be able to:</span></p>
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<li><span class="cf0"><strong>Register</strong> and <strong>Log</strong> <strong>In</strong> to the </span><strong><span class="cf0">JupyterLab</span></strong><span class="cf0"><strong> Sandbox</strong>.</span></li>
<li><span class="cf0">Understand basic </span><strong><span class="cf0">JupyterLab</span></strong><span class="cf0"><strong> Sandbox</strong> Interface components.</span></li>
<li><span class="cf0"><strong>Open</strong> and close a </span><span class="cf0"><strong>Jupyter</strong></span><span class="cf0"><strong> Notebook</strong> in the Sandbox.</span></li>
<li><span class="cf0"><strong>Run</strong> a pre-existing </span><strong><span class="cf0">Jupyter</span></strong><span class="cf0"><strong> Notebook</strong>.</span></li>
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