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Mastering Algorithms with Go: A Beginner's Guide to Sorting Small Data Sets 🔥
- Sorting data is a crucial task for developers, and understanding sorting algorithms is essential for writing efficient, scalable, and maintainable code.
- In this article, we explore the implementation of sorting algorithms in Go and their relevance in real-life scenarios, focusing on small data sets.
- We start with one of the most basic and fundamental sorting algorithms- QuickSort.
- QuickSort uses a divide-and-conquer approach for efficient sorting of a slice in descending order.
- The partition function of QuickSort ensures rearrangement of elements for larger scores on the left and smaller scores on the right.
- UpdateScore function finds and updates a participant's score based on their name, whereas DisplayLeaderboard displays a leaderboard in a readable format.
- AddParticipant function helps to append a new participant to the existing participants' slice after checking if the participant already exists.
- CheckIfParticipantExists is a helper function to verify if a participant's name is already present in the leaderboard.
- A sample workflow in the Main function highlights the application of all the functions to get a dynamic leaderboard.
- The project is available on GitHub to explore the complete code implementation and try it out.
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