Approaching Coding Algoritms As A Beginner

As a beginner, it's better to start with simpler algorithm problems that focus on fundamental concepts and patterns. Here are some suggestions on the approach and patterns a beginner should begin with:

1. Array and String Manipulation:¶

• Start with problems that involve basic operations on arrays and strings, such as reversing, finding the maximum/minimum, checking for palindromes, removing duplicates, or merging/splitting arrays and strings.
• These problems help you understand basic data structures, loops, and string manipulation techniques.

2. Searching and Sorting:¶

• Practice problems related to linear search, binary search, bubble sort, insertion sort, and selection sort.
• These problems help you understand the concepts of searching and sorting algorithms, which are fundamental in computer science.

3. Recursion and Iteration:¶

• Solve problems that involve recursion and iteration, such as factorial calculation, fibonacci series, or simple tree/linked list traversals.
• These problems help you understand the concept of recursion and its relationship with iteration, which is essential for solving more complex problems.

4. Problem Decomposition and Pseudocode:¶

• Focus on breaking down problems into smaller steps and writing pseudocode before implementing the solution.
• This practice will help you develop problem-solving skills and improve your ability to think logically and systematically.

5. Pattern Recognition:¶

• As you solve more problems, try to identify common patterns and techniques that can be applied to similar problems.
• Recognizing patterns like traversal, searching, sorting, and manipulation will make it easier to approach new problems.

6. Start with Easy Problems:¶

• Begin with problems labeled as "easy" or "beginner" on coding platforms like LeetCode, HackerRank, or CodeWars.
• These problems are designed to introduce fundamental concepts and techniques without overwhelming complexity.

7. Understand Time and Space Complexity:¶

• While not essential in the beginning, it's good to start learning about time and space complexity analysis early on.
• Understanding the efficiency of your solutions will become increasingly important as you progress to more complex problems.

8. Practice and Review:¶

• Regularly practice algorithm problems and review solutions from others.
• Understand different approaches and learn from them, as this will broaden your problem-solving skills.

Remember, the key is to start with simple problems, focus on understanding the fundamental concepts and patterns, and gradually build up your problem-solving skills. Don't get discouraged if you find some problems challenging; it's a learning process, and with consistent practice, you'll improve over time.