Intermediate Python | Lesson 14: Common Algorithms: Searching & Sorting

Why can some programs search a million items in a millisecond, while others grind to a halt? The answer lies in algorithms. In Lesson 14 of our Intermediate Python course, we embark on The Efficiency Quest, a practical guide to the most fundamental algorithms: searching and sorting.

This lesson demystifies how computers find and organize information. We start with the brute-force *Linear Search* and contrast it with the elegant, high-speed *Binary Search**, highlighting the critical importance of sorted data. Then, we tackle the chaos of sorting with two foundational methods: the intuitive **Bubble Sort* and the methodical **Selection Sort**. Through clear visualizations and Big O notation, you'll see the staggering performance difference between O(n), O(log n), and O(n²) algorithms. We'll analyze real-world scenarios, from searching customer databases to sorting e-commerce products, to understand the strategic trade-offs behind choosing the right tool for the job.

Ready to make your code faster and smarter? Watch the full lesson on our YouTube channel and test your knowledge with our AI Tutor at https://aiedugenius.com.

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