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Which Sorting Algorithm Should I Use? It depends. Each algorithm comes with its own set of pros and cons. Quicksort is a good default choice. It tends to be fast in practice, and with some small tweaks its dreaded worst-case time complexity becomes very unlikely. A tried and true favorite. Heapsort is a good choice if you can't tolerate a worst-case time complexity of or need low space costs. The
This is not a freaking textbook. No confusing academic jargon. No long lists of properties to memorize. No proofs. Because that stuff doesn't help you actually get it. Here's what does: Learning what to picture in your head when you think of a dynamic array or a hash map. Learning how to think in algorithms. That's what this guide is focused on—giving you a visual, intuitive sense for how data str
Computer science in plain English To really understand how data structures work, we're going to derive each of them from scratch. Starting with bits. Don't worry—we'll skip the convoluted academic jargon and proofs. We'll cover: Random Access Memory Binary Numbers Fixed-Width Integers Arrays Strings Pointers Dynamic Arrays Linked Lists Hash Tables Get the 7-day crash course! In this free email cou
In this free email course, I'll teach you the right way of thinking to break down tricky algorithmic coding interview questions. 7 days. One short-but-helpful email a day. Unsubscribe whenever. No CS degree necessary. The idea behind big O notation Big O notation is the language we use for talking about how long an algorithm takes to run. It's how we compare the efficiency of different approaches
I will teach you to be good at programming interviews The programming interview is a winnable game. I'll show you the tricks to quickly solve problems you've never seen before. NEW: Free 7-Day Email Course I'll teach you the right way of thinking for breaking down tricky algorithmic coding interview questions you've never seen before. No prior computer science training necessary—I'll get you up to
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