Leetcode Algorithm Coding, Jav 5.2.6

FreeTymeKiyan ❘ Logiciel gratuit ❘
Android
hors 1849 votes

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<p>Are you in search of a career move in the tech industry and need to hone your skills for Java coding and programming interviews? Would you like to enhance your problem-solving capabilities in algorithms and data structures as a software engineer? If time constraints prevent you from mastering various algorithmic challenges or if you fear forgetting interview question answers, APAS is a valuable resource that can assist you on these fronts.</p>

<h3>What is APAS?</h3>
<p>APAS stands for Algorithm Problems and Solutions, an offline coding and programming interview app designed for Android devices. It offers a convenient way to access and study interview questions at your convenience, directly from your mobile device.</p>

<h3>Key Features:</h3>
<ul>
  <li>Over 400 common Leetcode coding and programming questions on algorithms, data structures, and system designs.</li>
  <li>Regular updates with new Leetcode problems ensuring fresh content.</li>
  <li>Detailed problem descriptions and Java solutions for each algorithmic challenge.</li>
  <li>Syntax-highlighted solutions with line numbers that can be expanded to full screen for clarity.</li>
  <li>Effective spaced repetition intervals for reviewing problems and enhancing long-term memory retention.</li>
  <li>Simulated mock interviews with timed problem sets, replicating real coding interview scenarios.</li>
  <li>Bookmarking feature to mark questions for later revisits.</li>
  <li>Note-taking capability to jot down important points related to a problem.</li>
  <li>Quick search functionality based on problem names or IDs.</li>
  <li>Categorization of problems by difficulty levels, topics, or companies that have posed them in actual interviews.</li>
  <li>Dark theme support for reduced battery consumption during extended nighttime reading sessions.</li>
  <li>Offline mode toggle for seamless learning without network dependencies.</li>
</ul>

<p>The Java solutions provided are sourced from a reputable Github repository with close to 1500 stars. Additionally, select solutions are available in Python or C++ languages to cater to various preferences and skill sets. Users can share their feedback within the app or via email to the developer for prompt issue resolution.</p>

<h3>List of Data Structures:</h3>
<ul>
  <li>String</li>
  <li>Array</li>
  <li>Stack</li>
  <li>Queue</li>
  <li>Hash Table</li>
  <li>Map</li>
  <li>Linked List</li>
  <li>Heap</li>
  <li>Tree</li>
  <li>Trie</li>
  <li>Binary Indexed Tree</li>
  <li>Segment Tree</l 
  <li>Binary Search Tree</l 
  <li>Union Find</l 
  li Graphl 
<li Geometryl 
/li>

<h3>List of Algorithms:</h3>
<ul>
<li Binary Searchl 
<li Divide and Conquerl 
<li Recursionl 
<li Dynamic Programmingl 
<li Memoizationl 
<li Backtrackingl 
<li Greedyl 
<li Sortingl 
<li Topological Sortl 
<li Breadth-first Searchl 
<li Depth-first Searchl 
<li Reservoir Samplingl 
<li Rejection Samplingl 
<li Two Pointersl 
<li Bit Operationsl 
<li Minimaxl 
<li Random/li
<ul>

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