Searching is one of the most common tasks in computer programming. Whether you’re finding a contact in your phone list, checking for a product in a database, or looking for a word in a dictionary, search algorithms make it possible to quickly locate what you need. Among the many search techniques available, one particularly elegant […]
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When you begin learning algorithms, one of the most interesting and widely used techniques you’ll come across is Depth-First Search (DFS). It’s a simple yet powerful graph traversal algorithm that explores as far as possible along each branch before backtracking. Think of it as diving deep into one path before coming back up to explore
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Breadth-First Search (BFS) is one of the most essential algorithms for exploring graphs and trees. Unlike Depth-First Search (DFS), which dives deep into one branch before backtracking, BFS explores nodes level by level. This approach ensures that all nodes at the current depth are visited before moving on to the next level. BFS is especially
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Searching efficiently through large datasets is a vital skill for every programmer. While linear search checks every element one by one, and binary search requires a known range, Exponential Search brings the best of both worlds. It helps locate the range where an element might be and then applies Binary Search within that range to
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Searching for elements efficiently is a core skill every programmer needs, and Jump Search is a smart algorithm designed to do just that. Unlike linear search, which checks each element one by one, Jump Search “jumps” ahead by fixed steps and then performs a linear search in the relevant block. This makes it faster than
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When it comes to finding elements in a sorted dataset efficiently, binary search is one of the most important algorithms every programmer should know. Unlike linear search, which checks each element one by one, binary search quickly narrows down the search range by repeatedly dividing the dataset in half. Learning how to implement binary search
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Searching efficiently is an important skill in programming, and Ternary Search is a powerful algorithm designed for sorted datasets. Unlike binary search, which splits the array into two halves, Ternary Search divides it into three parts. This allows the search to narrow down more quickly in certain scenarios, making it a valuable tool for beginners
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Efficient searching is a core skill for any programmer, and interpolation search is a clever algorithm that helps you find elements quickly in a sorted dataset. Unlike linear search, which checks each element one by one, or binary search, which divides the list in half, interpolation search estimates the position of the target based on
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Sorting is one of the fundamental skills every programmer should master. Among the many sorting algorithms, Counting Sort stands out for its simplicity and efficiency in sorting numbers within a limited range. Unlike traditional sorting methods that rely on comparisons, Counting Sort works by counting the frequency of each element and then placing them in
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Learning how to find a specific element in a dataset is one of the first skills every beginner programmer should master. Linear search is one of the simplest and most intuitive methods for searching. In Python, it allows you to practice working with lists, loops, conditions, and functions while giving immediate results. Even though there
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