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-    <h1 class="page-title">06_Immutable_Tables</h1>
-    
-
-    <section>
-
-<header>
-    
-</header>
-
-<article>
-    <h1>Immutable Tables with Functional Operations</h1>
-<h2>What are Immutable Tables?</h2>
-<p>Immutable tables are data structures that <strong>cannot be modified after creation</strong>. All operations on tables return <strong>new tables</strong> rather than modifying the original.</p>
-<pre class="prettyprint source lang-plaintext"><code>/* All table operations return new tables */
-original : {a: 1, b: 2, c: 3};
-modified : t.set original &quot;d&quot; 4;  /* Returns new table */
-/* original is unchanged: {a: 1, b: 2, c: 3} */
-/* modified is: {a: 1, b: 2, c: 3, d: 4} */
-</code></pre>
-<h2>Why is This Esoteric?</h2>
-<p>Most programming languages allow direct modification of data structures. Our language enforces <strong>complete immutability</strong> - no mutation operations exist at all.</p>
-<h2>Basic Examples</h2>
-<pre class="prettyprint source lang-plaintext"><code>/* Create a table */
-original : {name: &quot;Alice&quot;, age: 30, city: &quot;New York&quot;};
-
-/* All operations return new tables */
-with_job : t.set original &quot;job&quot; &quot;Engineer&quot;;
-with_updated_age : t.set original &quot;age&quot; 31;
-without_city : t.delete original &quot;city&quot;;
-
-/* Original table is unchanged */
-/* original is still {name: &quot;Alice&quot;, age: 30, city: &quot;New York&quot;} */
-</code></pre>
-<h2>Table Operations</h2>
-<h3>Setting Values</h3>
-<pre class="prettyprint source lang-plaintext"><code>/* t.set table key value - returns new table with key set */
-data : {a: 1, b: 2};
-updated : t.set data &quot;c&quot; 3;
-/* updated: {a: 1, b: 2, c: 3} */
-/* data: {a: 1, b: 2} (unchanged) */
-</code></pre>
-<h3>Deleting Keys</h3>
-<pre class="prettyprint source lang-plaintext"><code>/* t.delete table key - returns new table without the key */
-data : {a: 1, b: 2, c: 3};
-without_b : t.delete data &quot;b&quot;;
-/* without_b: {a: 1, c: 3} */
-/* data: {a: 1, b: 2, c: 3} (unchanged) */
-</code></pre>
-<h3>Merging Tables</h3>
-<pre class="prettyprint source lang-plaintext"><code>/* t.merge table1 table2 - returns new table with combined keys */
-table1 : {a: 1, b: 2};
-table2 : {c: 3, d: 4};
-merged : t.merge table1 table2;
-/* merged: {a: 1, b: 2, c: 3, d: 4} */
-/* table1 and table2 unchanged */
-</code></pre>
-<h3>Getting Values</h3>
-<pre class="prettyprint source lang-plaintext"><code>/* t.get table key - returns value (doesn't modify table) */
-data : {name: &quot;Alice&quot;, age: 30};
-name : t.get data &quot;name&quot;;  /* &quot;Alice&quot; */
-age : t.get data &quot;age&quot;;    /* 30 */
-/* data unchanged */
-</code></pre>
-<h3>Checking Keys</h3>
-<pre class="prettyprint source lang-plaintext"><code>/* t.has table key - returns boolean (doesn't modify table) */
-data : {name: &quot;Alice&quot;, age: 30};
-has_name : t.has data &quot;name&quot;;    /* true */
-has_job : t.has data &quot;job&quot;;      /* false */
-/* data unchanged */
-</code></pre>
-<h2>Element-Wise Operations</h2>
-<p>All element-wise operations return new tables:</p>
-<pre class="prettyprint source lang-plaintext"><code>/* map returns new table - @ operator required for higher-order functions */
-numbers : {a: 1, b: 2, c: 3};
-double : x -> x * 2;
-doubled : map @double numbers;  /* {a: 2, b: 4, c: 6} */
-/* numbers unchanged: {a: 1, b: 2, c: 3} */
-
-/* filter returns new table - @ operator required for higher-order functions */
-is_greater_than_one : x -> x > 1;
-filtered : filter @is_greater_than_one numbers;  /* {b: 2, c: 3} */
-/* numbers unchanged: {a: 1, b: 2, c: 3} */
-</code></pre>
-<h2>Complex Examples</h2>
-<pre class="prettyprint source lang-plaintext"><code>/* Building complex tables immutably */
-base_user : {name: &quot;Alice&quot;, age: 30};
-
-/* Add multiple properties */
-with_email : t.set base_user &quot;email&quot; &quot;alice@example.com&quot;;
-with_address : t.set with_email &quot;address&quot; &quot;123 Main St&quot;;
-with_phone : t.set with_address &quot;phone&quot; &quot;555-1234&quot;;
-
-/* Or merge with another table */
-contact_info : {email: &quot;alice@example.com&quot;, phone: &quot;555-1234&quot;};
-complete_user : t.merge base_user contact_info;
-/* Result: {name: &quot;Alice&quot;, age: 30, email: &quot;alice@example.com&quot;, phone: &quot;555-1234&quot;} */
-</code></pre>
-<h2>Nested Tables</h2>
-<p>Immutability works with nested table structures:</p>
-<pre class="prettyprint source lang-plaintext"><code>/* Nested table */
-user : {
-  name: &quot;Alice&quot;,
-  profile: {
-    age: 30,
-    preferences: {
-      theme: &quot;dark&quot;,
-      notifications: true
-    }
-  }
-};
-
-/* Update nested property - creates new nested structure */
-updated_preferences : t.set user.profile.preferences &quot;theme&quot; &quot;light&quot;;
-/* This creates new tables at each level */
-/* user unchanged, updated_preferences has new nested structure */
-</code></pre>
-<h2>Functional Programming Patterns</h2>
-<p>Immutability enables pure functional programming patterns:</p>
-<pre class="prettyprint source lang-plaintext"><code>/* Pure function - no side effects */
-update_age : user new_age -> t.set user &quot;age&quot; new_age;
-
-/* Multiple updates create new tables */
-user1 : {name: &quot;Alice&quot;, age: 30};
-user2 : update_age user1 31;
-user3 : update_age user2 32;
-
-/* All tables exist independently */
-/* user1: {name: &quot;Alice&quot;, age: 30} */
-/* user2: {name: &quot;Alice&quot;, age: 31} */
-/* user3: {name: &quot;Alice&quot;, age: 32} */
-</code></pre>
-<h2>When to Use Immutable Tables</h2>
-<p><strong>Use immutable tables when:</strong></p>
-<ul>
-<li>You want to prevent accidental data modification</li>
-<li>You're building functional programming patterns</li>
-<li>You need to track data changes over time</li>
-<li>You want to ensure thread safety (if applicable)</li>
-<li>You're working with complex data transformations</li>
-</ul>
-<p><strong>Don't use immutable tables when:</strong></p>
-<ul>
-<li>You need to modify data in place for performance reasons</li>
-<li>You're working with very large datasets that can't be copied</li>
-<li>You need to perform side effects on data structures</li>
-</ul>
-<h2>Common Patterns</h2>
-<pre class="prettyprint source lang-plaintext"><code>/* Pattern 1: Building up data structures */
-base_config : {debug: false, timeout: 30};
-
-/* Add development settings */
-dev_config : t.merge base_config {
-  debug: true,
-  log_level: &quot;verbose&quot;
-};
-
-/* Add production settings */
-prod_config : t.merge base_config {
-  timeout: 60,
-  cache_enabled: true
-};
-
-/* Pattern 2: Data transformation pipeline */
-user_data : {name: &quot;Alice&quot;, age: 30, scores: {85, 90, 88}};
-
-/* Transform user data */
-with_average : t.set user_data &quot;average_score&quot; (reduce @add 0 user_data.scores / 3);
-with_grade : t.set with_average &quot;grade&quot; (when with_average.average_score is
-  when with_average.average_score >= 90 then &quot;A&quot;
-  when with_average.average_score >= 80 then &quot;B&quot;
-  _ then &quot;C&quot;);
-
-/* Pattern 3: State management */
-initial_state : {count: 0, items: {}};
-
-/* State transitions */
-increment_state : state -> t.set state &quot;count&quot; (state.count + 1);
-add_item_state : state item -> t.set state &quot;items&quot; (t.set state.items item.id item);
-
-/* Apply transitions */
-state1 : increment_state initial_state;
-state2 : add_item_state state1 {id: &quot;item1&quot;, name: &quot;First Item&quot;};
-</code></pre>
-<h2>Performance Considerations</h2>
-<pre class="prettyprint source lang-plaintext"><code>/* Immutability can be expensive for large tables */
-large_table : {/* ... many entries ... */};
-
-/* Each operation creates a new copy */
-updated1 : t.set large_table &quot;key&quot; &quot;value&quot;;
-updated2 : t.set updated1 &quot;key2&quot; &quot;value2&quot;;
-/* This creates multiple copies of the large table */
-
-/* Consider batching operations */
-batch_update : table -> t.merge table {
-  key1: &quot;value1&quot;,
-  key2: &quot;value2&quot;,
-  key3: &quot;value3&quot;
-};
-/* Single operation instead of multiple */
-</code></pre>
-<h2>Key Takeaways</h2>
-<ol>
-<li><strong>Complete immutability</strong> - no mutation operations exist</li>
-<li><strong>New tables returned</strong> - all operations return new data structures</li>
-<li><strong>Original unchanged</strong> - source tables are never modified</li>
-<li><strong>Functional patterns</strong> - enables pure functional programming</li>
-<li><strong>Composable operations</strong> - operations can be chained safely</li>
-<li><strong>@ operator required</strong> - for higher-order functions like <code>map</code>, <code>filter</code>, <code>reduce</code></li>
-</ol>
-<h2>Why This Matters</h2>
-<p>Immutable tables make the language safer and more functional:</p>
-<ul>
-<li><strong>No side effects</strong> - functions can't accidentally modify data</li>
-<li><strong>Predictable behavior</strong> - data never changes unexpectedly</li>
-<li><strong>Functional style</strong> - encourages pure functions and composition</li>
-<li><strong>Debugging ease</strong> - data state is always predictable</li>
-<li><strong>Thread safety</strong> - no shared mutable state issues</li>
-</ul>
-<p>This feature makes the language feel more like pure functional languages like Haskell! 🚀</p>
-</article>
-
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