deploy: ca31429

Lecture1.html

@@ -578,7 +578,8 @@ <h3><span class="section-number">1.2.2. </span>Plotting with Matplotlib<a class=
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Imports</span>
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>  <span class="c1"># Plotting</span>
 <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>  <span class="c1"># Numerical operations</span>
-<span class="o">%</span><span class="k">matplotlib</span> inline  # Inline plotting for Jupyter notebooks
+<span class="o">%</span><span class="k">matplotlib</span> inline
+<span class="c1"># Inline plotting for Jupyter notebooks</span>
 
 <span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mf">0.001</span><span class="p">)</span> <span class="c1"># x = 0 to 10 in steps of 0.001</span>
 <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">x</span><span class="o">*</span><span class="n">x</span><span class="p">)</span> <span class="c1"># define your function</span>

_sources/Lecture1.ipynb

@@ -239,7 +239,8 @@
     "# Imports\n",
     "import matplotlib.pyplot as plt  # Plotting\n",
     "import numpy as np  # Numerical operations\n",
-    "%matplotlib inline  # Inline plotting for Jupyter notebooks\n",
+    "%matplotlib inline\n",
+    "# Inline plotting for Jupyter notebooks\n",
     "\n",
     "x = np.arange(0, 10, 0.001) # x = 0 to 10 in steps of 0.001\n",
     "y = np.sin(x*x) # define your function\n",