Sorting is one of the most important concepts in programming, and learning it well helps you understand how data can be arranged and managed efficiently. One of the simplest sorting techniques is Selection Sort. It’s easy to understand, easy to implement, and forms a great foundation for learning other sorting algorithms. Selection Sort works by […]
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When learning about graph algorithms, one of the first and most fascinating ones you’ll encounter is Depth-First Search, often called DFS. This algorithm explores a graph by going as deep as possible along one branch before backtracking. It’s like exploring a maze — you follow one path until you can’t go any further, then return
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Working with strings is one of the first skills every Ruby programmer learns. Strings are everywhere in programming — from showing messages to handling user input and saving data. Sometimes, you need to change the case of text, turning lowercase letters into uppercase, or vice versa. This process, called string case conversion, is simple but
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When exploring graphs in computer science, one of the most important algorithms you’ll come across is Breadth-First Search, or BFS for short. If you imagine a network of connected points—like friends on a social media platform, intersections on a map, or cities connected by roads—BFS is like exploring one level of connections at a time
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Sorting is one of the most common tasks in programming, and among the many sorting algorithms out there, Bubble Sort is often the first one beginners learn. Bubble Sort is a simple algorithm that repeatedly steps through a list, compares neighboring elements, and swaps them if they are in the wrong order. This process continues
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Searching through data efficiently is a fundamental part of programming, especially when working with large sorted datasets. One algorithm that balances simplicity and efficiency is Jump Search. Jump Search works by checking elements at fixed intervals or “jumps” instead of checking every single element. Once the search overshoots the target, it performs a linear search
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Searching efficiently in sorted data is one of the most important tasks in programming. While Binary Search is commonly used, Exponential Search is an algorithm designed to handle large datasets efficiently, especially when the target element is near the beginning of the array. Exponential Search works by first finding a range where the target could
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Searching efficiently in large datasets is a key skill for every programmer, and while Binary Search is widely known, there’s another algorithm called Ternary Search that divides the search space into three parts instead of two. Ternary Search works on sorted arrays and repeatedly splits the array into three segments to determine which segment contains
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When it comes to searching efficiently in sorted data, Binary Search is usually the first choice, but there is another algorithm called Fibonacci Search that can also be very effective. Fibonacci Search uses Fibonacci numbers to divide the search space, reducing the number of comparisons needed to find the target element. This method is particularly
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Searching through data efficiently is a key part of programming, especially when you are dealing with large sorted datasets. One algorithm that can be faster than Binary Search in certain situations is Interpolation Search. Unlike Binary Search, which always checks the middle of a search range, Interpolation Search estimates the position of the target based
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