https://github.com/afsify/leetcode

Boost your JavaScript skills with curated LeetCode exercises. From basics to advanced, these hands on challenges help you master JavaScript step by step. Perfect for all skill levels.
https://github.com/afsify/leetcode

javascript leetcode workouts

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Boost your JavaScript skills with curated LeetCode exercises. From basics to advanced, these hands on challenges help you master JavaScript step by step. Perfect for all skill levels.

• Host: GitHub
• URL: https://github.com/afsify/leetcode
• Owner: afsify
• Created: 2024-06-10T16:46:34.000Z (7 months ago)
• Default Branch: master
• Last Pushed: 2024-07-10T16:00:35.000Z (6 months ago)
• Last Synced: 2024-07-10T19:19:02.235Z (6 months ago)
• Topics: javascript, leetcode, workouts
• Language: JavaScript
• Homepage:
• Size: 13.7 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# LeetCode JavaScript Solutions

Welcome to the LeetCode JavaScript Solutions repository! This collection houses a comprehensive set of JavaScript solutions to LeetCode problems. Whether you're a beginner looking to sharpen your coding skills or an experienced developer aiming to tackle complex algorithms, this repository is here to support your journey.

## Features

- **Extensive Coverage:** Explore solutions to a wide range of LeetCode problems, categorized for easy navigation.

- **Clear Explanations:** Each solution is accompanied by detailed explanations and comments to help you understand the logic behind the code.

- **Optimized Solutions:** Discover optimized approaches and best practices for solving LeetCode challenges efficiently.

- **Contributor Friendly:** Contribute your own solutions or improvements to existing ones to enhance the repository's value for the community.

## Solving LeetCode Questions Easily

### Problem-Solving Techniques

1. **Brute Force:**

   - Start with the simplest approach by trying all possible solutions.

   - Useful for small input sizes.

2. **Two Pointers:**

   - Use two pointers to iterate from different directions.

   - Useful for problems involving arrays or linked lists.

3. **Sliding Window:**

   - Maintain a window of elements to solve problems involving subarrays or substrings.

   - Useful for problems requiring optimization within a range.

4. **Divide and Conquer:**

   - Break the problem into smaller subproblems, solve them independently, and combine the results.

   - Useful for problems involving recursion or tree structures.

5. **Dynamic Programming:**

   - Store the results of subproblems to avoid redundant computations.

   - Useful for optimization problems, especially those involving sequences or matrices.

6. **Backtracking:**

   - Explore all possible solutions by making and unmaking choices.

   - Useful for constraint satisfaction problems like permutations, combinations, and puzzles.

7. **Greedy Algorithm:**

   - Make the locally optimal choice at each step with the hope of finding a global optimum.

   - Useful for optimization problems involving sorting or selection.

8. **Hashing:**

   - Use hash tables to store and lookup values efficiently.

   - Useful for problems involving quick access and retrieval of data.

### Tips for Efficient Problem Solving

1. **Understand the Problem Statement:**

   - Read the problem statement carefully.

   - Identify the input, output, and constraints.

2. **Plan Your Approach:**

   - Think about the possible ways to solve the problem.

   - Consider the time and space complexity of each approach.

3. **Write Pseudocode:**

   - Outline your solution in pseudocode before coding.

   - Helps in organizing your thoughts and identifying potential issues.

4. **Test Your Solution:**

   - Test your code with different inputs, including edge cases.

   - Ensure that your solution handles all possible scenarios.

5. **Optimize Your Code:**

   - Look for ways to improve the efficiency of your solution.

   - Consider alternative data structures or algorithms if needed.

## Common Patterns in LeetCode Problems

1. **Array Manipulation:**

   - Problems involving searching, sorting, or modifying arrays.

2. **String Processing:**

   - Problems involving substring searches, pattern matching, or string manipulation.

3. **Linked List Operations:**

   - Problems involving traversal, modification, or reversal of linked lists.

4. **Tree and Graph Traversal:**

   - Problems involving traversal, search, or modification of trees and graphs.

5. **Dynamic Programming:**

   - Problems involving optimization and finding the best solution among many.

6. **Math and Number Theory:**

   - Problems involving mathematical computations or properties of numbers.

7. **Bit Manipulation:**

   - Problems involving operations on binary representations of numbers.

8. **Combinatorial Problems:**

   - Problems involving permutations, combinations, or generating subsets.

By following these techniques and patterns, you can enhance your problem-solving skills and tackle LeetCode challenges more effectively.

## Getting Started

To get started with the LeetCode JavaScript Solutions repository, follow these simple steps:

```bash

git clone https://github.com/afsify/leetcode.git

```

1. **Clone the Repository:** Use the following command to clone the repository to your local machine:

2. **Explore Solutions:** Browse through the directories to find solutions to specific LeetCode problems. Each solution is contained within its own file, along with a corresponding problem statement.

3. **Contribute:** If you have a new solution to contribute or improvements to existing ones, feel free to submit a pull request. Contributions from the community are highly encouraged!