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<section n="1">
  <h1 class="title">Introduction to Data Structures an d Algorithms</h1>
  <img query="computer programming code" />
  Data structures an d algorithms form the backbone of effective software
  development . They provide the building blocks for creating efficient an d
  scal able applications that can handle complex tasks an d large amounts of
  data .
</section>

<section n="2">
  <h1>Fundamental Data Structures</h1>
  <COLUMNS>
    <div>
      <h4>Arrays</h4>
      <p>
        Ordere d collections of elements that allow for efficient access an d
        manipulation of data .
      </p>
    </div>
    <div>
      <h4>Linke d Lists</h4>
      <p>
        Dynamic data structures that allow for flexible insertion an d deletion
        of elements .
      </p>
    </div>
    <div>
      <h4>St acks an d Que ues</h4>
      <p>
        Specialize d data structures that follow the Last - In - First - Out (
        LI FO ) an d First - In - First - Out ( FI FO ) principles .
      </p>
    </div>
  </COLUMNS>
  <img query="data structures illustration" />
</section>

<section n="3">
  <h1>Sorting Algorithms</h1>
  <TIMELINE orientation="horizontal" tw os ide d="true">
    <div>
      <h4>Bubble Sort</h4>
      <p>
        A simple algorithm that repeatedly sw aps adjacent elements if they are
        in the wrong order .
      </p>
    </div>
    <div>
      <h4>Insertion Sort</h4>
      <p>
        An algorithm that builds the final sorte d array one item at a time by
        inser ting elements into their correct position .
      </p>
    </div>
    <div>
      <h4>Merge Sort</h4>
      <p>
        A divide - an d- con quer algorithm that recurs ively splits the input ,
        sorts the sub - parts , an d then mer ges them back together .
      </p>
    </div>
  </TIMELINE>
  <img query="sorting algorithms visualization" />
</section>

<section n="4">
  <h1>Searching Algorithms</h1>
  <BULLETS>
    <div>
      <h4>Linear Search</h4>
      <p>
        A simple algorithm that sequ entially checks each element in the data
        structure until the target is foun d.
      </p>
    </div>
    <div>
      <h4>Binary Search</h4>
      <p>
        An efficient algorithm that repeatedly div ides the search interval in
        half to quickly locate the target element .
      </p>
    </div>
  </BULLETS>
  <img query="searching algorithms" />
</section>

<section n="5">
  <h1>Recurs ion an d Divide - an d- Con quer</h1>
  <ICONS>
    <div>
      <img type="icon" query="recursion" />
      <h4>Recurs ion</h4>
      <p>
        A powerful problem - solving technique where a function calls itself to
        solve a smaller version of the same problem .
      </p>
    </div>
    <div>
      <img type="icon" query="divide and conquer" />
      <h4>Divide - an d- Con quer</h4>
      <p>
        A strategy that breaks a problem down into smaller sub - problems , sol
        ves them independently , an d then combines the solutions .
      </p>
    </div>
  </ICONS>
  <img query="recursion and divide and conquer" />
</section>

<section n="6">
  <h1>Graph Algorithms</h1>
  <ARROWS orientation="horizontal">
    <div>
      <h4>Brea dth - First Search</h4>
      <p>
        An algorithm that explores all the neighboring nodes at the present
        depth before moving on to the nodes at the next depth level .
      </p>
    </div>
    <div>
      <h4>Depth - First Search</h4>
      <p>
        An algorithm that explores as far as possible along each branch before
        back tr acking .
      </p>
    </div>
    <div>
      <h4>Connectivity Analysis</h4>
      <p>
        Identifying connecte d components an d understanding the relationships
        between nodes in a graph .
      </p>
    </div>
  </ARROWS>
  <img query="graph algorithms visualization" />
</section>

<section n="7">
  <h1>Dynamic Programming an d Gre edy Algorithms</h1>
  <BOXES>
    <div>
      <h4>Dynamic Programming</h4>
      <p>
        A technique that sol ves complex problems by breaking them down into
        smaller , overl apping sub - problems an d storing their solutions .
      </p>
    </div>
    <div>
      <h4>Gre edy Algorithms</h4>
      <p>
        Algorithms that make locally optimal choices at each stage with the hope
        of finding a global optim um .
      </p>
    </div>
  </BOXES>
  <img query="dynamic programming and greedy algorithms" />
</section>

<section n="8">
  <h1>Importance in Software Development</h1>
  <table>
    <tr>
      <td>Efficiency</td>
      <td>
        Data structures an d algorithms help create fast , scal able , an d
        resource - efficient software .
      </td>
    </tr>
    <tr>
      <td>Problem Solving</td>
      <td>
        Understanding algorithms an d data structures is crucial for solving
        complex problems in software engineering .
      </td>
    </tr>
    <tr>
      <td>Optimization</td>
      <td>
        Applying the right data structures an d algorithms can significantly
        optimize the performance of software applications .
      </td>
    </tr>
  </table>
  <img query="software development" />
</section>

<section n="9">
  <h1>Recap</h1>
  <BULLETS>
    <div>
      <h4>Fundamental Concepts</h4>
      <p>
        Data structures an d algorithms form the foundation of effective
        software development .
      </p>
    </div>
    <div>
      <h4>Diverse Techniques</h4>
      <p>
        From sorting an d searching to graph algorithms an d dynamic programming
        , these tools solve a wide range of problems .
      </p>
    </div>
    <div>
      <h4>Importance for Developers</h4>
      <p>
        Mas tering data structures an d algorithms is crucial for creating
        efficient , scal able , an d optim ize d software applications .
      </p>
    </div>
  </BULLETS>
  <img query="data structures and algorithms review" />
</section>