diff --git a/README.md b/README.md
index cd46070..1637037 100644
--- a/README.md
+++ b/README.md
@@ -2710,7 +2710,7 @@ import numpy as np
 <1/2d_arr> = <2d>[<2d/1d_bools>]                        # 1d_bools must have size of a column.
 ```
 * **`':'` returns a slice of all dimension's indices. Omitted dimensions default to `':'`.**
-* **Sixth line fails if tuple is used because Python converts `'obj[i, j]'` to `'obj[(i, j)]'`!**
+* **Python converts `'obj[i, j]'` to `'obj[(i, j)]'`. This makes `'<2d>[row_i, col_i]'` and `'<2d>[row_indices]'` indistinguishable to NumPy if tuple of indices is passed!**
 * **Indexing with a slice and 1d array works the same as when using two slices (lines 4, 6, 7).**
 * **`'ix_([1, 2], [3, 4])'` returns `'[[1], [2]]'` and `'[[3, 4]]'`. Due to broadcasting rules, this is the same as using `'[[1, 1], [2, 2]]'` and `'[[3, 4], [3, 4]]'`.**
 * **Any value that is broadcastable to the indexed shape can be assigned to the selection.**
@@ -2734,7 +2734,9 @@ right = [[0.1], [0.6], [0.8]]                           # Shape: (3, 1)
 left  = [[0.1,  0.6,  0.8],                             # Shape: (3, 3) <- !
          [0.1,  0.6,  0.8],
          [0.1,  0.6,  0.8]]
+```
 
+```python
 right = [[0.1,  0.1,  0.1],                             # Shape: (3, 3) <- !
          [0.6,  0.6,  0.6],
          [0.8,  0.8,  0.8]]
@@ -2748,14 +2750,11 @@ right = [[0.1,  0.1,  0.1],                             # Shape: (3, 3) <- !
 [ 0.1,  0.6,  0.8 ]
 >>> wrapped_points = points.reshape(3, 1)
 [[0.1], [0.6], [0.8]]
->>> distances = points - wrapped_points
+>>> deltas = points - wrapped_points
 [[ 0. ,  0.5,  0.7],
  [-0.5,  0. ,  0.2],
  [-0.7, -0.2,  0. ]]
->>> distances = np.abs(distances)
-[[ 0. ,  0.5,  0.7],
- [ 0.5,  0. ,  0.2],
- [ 0.7,  0.2,  0. ]]
+>>> distances = np.abs(deltas)
 >>> distances[range(3), range(3)] = np.inf
 [[ inf,  0.5,  0.7],
  [ 0.5,  inf,  0.2],
diff --git a/index.html b/index.html
index 40f7a27..da850a3 100644
--- a/index.html
+++ b/index.html
@@ -55,7 +55,7 @@
 
 <body>
   <header>
-    <aside>December 11, 2024</aside>
+    <aside>December 13, 2024</aside>
     <a href="https://gto76.github.io" rel="author">Jure Šorn</a>
   </header>
 
@@ -2211,7 +2211,7 @@ $ snakeviz test.prof                                            <span class="hlj
 </code></pre>
 <ul>
 <li><strong><code class="python hljs"><span class="hljs-string">':'</span></code> returns a slice of all dimension's indices. Omitted dimensions default to <code class="python hljs"><span class="hljs-string">':'</span></code>.</strong></li>
-<li><strong>Sixth line fails if tuple is used because Python converts <code class="python hljs"><span class="hljs-string">'obj[i, j]'</span></code> to <code class="python hljs"><span class="hljs-string">'obj[(i, j)]'</span></code>!</strong></li>
+<li><strong>Python converts <code class="python hljs"><span class="hljs-string">'obj[i, j]'</span></code> to <code class="python hljs"><span class="hljs-string">'obj[(i, j)]'</span></code>. This makes <code class="python hljs"><span class="hljs-string">'&lt;2d&gt;[row_i, col_i]'</span></code> and <code class="python hljs"><span class="hljs-string">'&lt;2d&gt;[row_indices]'</span></code> indistinguishable to NumPy if tuple of indices is passed!</strong></li>
 <li><strong>Indexing with a slice and 1d array works the same as when using two slices (lines 4, 6, 7).</strong></li>
 <li><strong><code class="python hljs"><span class="hljs-string">'ix_([1, 2], [3, 4])'</span></code> returns <code class="python hljs"><span class="hljs-string">'[[1], [2]]'</span></code> and <code class="python hljs"><span class="hljs-string">'[[3, 4]]'</span></code>. Due to broadcasting rules, this is the same as using <code class="python hljs"><span class="hljs-string">'[[1, 1], [2, 2]]'</span></code> and <code class="python hljs"><span class="hljs-string">'[[3, 4], [3, 4]]'</span></code>.</strong></li>
 <li><strong>Any value that is broadcastable to the indexed shape can be assigned to the selection.</strong></li>
@@ -2228,24 +2228,21 @@ right = [[<span class="hljs-number">0.1</span>], [<span class="hljs-number">0.6<
 <div><h4 id="2ifanydimensionsdifferinsizeexpandtheonesthathavesize1byduplicatingtheirelements">2. If any dimensions differ in size, expand the ones that have size 1 by duplicating their elements:</h4><pre><code class="python language-python hljs">left  = [[<span class="hljs-number">0.1</span>,  <span class="hljs-number">0.6</span>,  <span class="hljs-number">0.8</span>],                             <span class="hljs-comment"># Shape: (3, 3) &lt;- !</span>
          [<span class="hljs-number">0.1</span>,  <span class="hljs-number">0.6</span>,  <span class="hljs-number">0.8</span>],
          [<span class="hljs-number">0.1</span>,  <span class="hljs-number">0.6</span>,  <span class="hljs-number">0.8</span>]]
+</code></pre></div>
 
-right = [[<span class="hljs-number">0.1</span>,  <span class="hljs-number">0.1</span>,  <span class="hljs-number">0.1</span>],                             <span class="hljs-comment"># Shape: (3, 3) &lt;- !</span>
+<pre><code class="python language-python hljs">right = [[<span class="hljs-number">0.1</span>,  <span class="hljs-number">0.1</span>,  <span class="hljs-number">0.1</span>],                             <span class="hljs-comment"># Shape: (3, 3) &lt;- !</span>
          [<span class="hljs-number">0.6</span>,  <span class="hljs-number">0.6</span>,  <span class="hljs-number">0.6</span>],
          [<span class="hljs-number">0.8</span>,  <span class="hljs-number">0.8</span>,  <span class="hljs-number">0.8</span>]]
-</code></pre></div>
-
+</code></pre>
 <div><h3 id="example-3">Example</h3><div><h4 id="foreachpointreturnsindexofitsnearestpoint010608121">For each point returns index of its nearest point (<code class="python hljs">[<span class="hljs-number">0.1</span>, <span class="hljs-number">0.6</span>, <span class="hljs-number">0.8</span>] =&gt; [<span class="hljs-number">1</span>, <span class="hljs-number">2</span>, <span class="hljs-number">1</span>]</code>):</h4><pre><code class="python language-python hljs"><span class="hljs-meta">&gt;&gt;&gt; </span>points = np.array([<span class="hljs-number">0.1</span>, <span class="hljs-number">0.6</span>, <span class="hljs-number">0.8</span>])
 [ <span class="hljs-number">0.1</span>,  <span class="hljs-number">0.6</span>,  <span class="hljs-number">0.8</span> ]
 <span class="hljs-meta">&gt;&gt;&gt; </span>wrapped_points = points.reshape(<span class="hljs-number">3</span>, <span class="hljs-number">1</span>)
 [[<span class="hljs-number">0.1</span>], [<span class="hljs-number">0.6</span>], [<span class="hljs-number">0.8</span>]]
-<span class="hljs-meta">&gt;&gt;&gt; </span>distances = points - wrapped_points
+<span class="hljs-meta">&gt;&gt;&gt; </span>deltas = points - wrapped_points
 [[ <span class="hljs-number">0.</span> ,  <span class="hljs-number">0.5</span>,  <span class="hljs-number">0.7</span>],
  [<span class="hljs-number">-0.5</span>,  <span class="hljs-number">0.</span> ,  <span class="hljs-number">0.2</span>],
  [<span class="hljs-number">-0.7</span>, <span class="hljs-number">-0.2</span>,  <span class="hljs-number">0.</span> ]]
-<span class="hljs-meta">&gt;&gt;&gt; </span>distances = np.abs(distances)
-[[ <span class="hljs-number">0.</span> ,  <span class="hljs-number">0.5</span>,  <span class="hljs-number">0.7</span>],
- [ <span class="hljs-number">0.5</span>,  <span class="hljs-number">0.</span> ,  <span class="hljs-number">0.2</span>],
- [ <span class="hljs-number">0.7</span>,  <span class="hljs-number">0.2</span>,  <span class="hljs-number">0.</span> ]]
+<span class="hljs-meta">&gt;&gt;&gt; </span>distances = np.abs(deltas)
 <span class="hljs-meta">&gt;&gt;&gt; </span>distances[range(<span class="hljs-number">3</span>), range(<span class="hljs-number">3</span>)] = np.inf
 [[ inf,  <span class="hljs-number">0.5</span>,  <span class="hljs-number">0.7</span>],
  [ <span class="hljs-number">0.5</span>,  inf,  <span class="hljs-number">0.2</span>],
@@ -2925,7 +2922,7 @@ $ deactivate                <span class="hljs-comment"># Deactivates the active
  
 
   <footer>
-    <aside>December 11, 2024</aside>
+    <aside>December 13, 2024</aside>
     <a href="https://gto76.github.io" rel="author">Jure Šorn</a>
   </footer>