Preparing for Technical Interviews

00:00 Building projects proves that you can ship software, but many companies also use coding challenges to screen candidates, so you need to be ready for both.

00:09 There are platforms like LeetCode, HackerRank, and Codewars that offer thousands of algorithms and data structure problems. These challenges test whether you can think through a problem methodically, choosing the right data structures, and writing efficient solutions under pressure.

00:26 Although they don’t always reflect the day-to-day work that a developer does, they’re common enough in the hiring pipelines that you can’t skip them. That said, the interview landscape is shifting.

00:37 Some companies are now using take-home assignments or AI-enabled assessments that better mirror their real development work. Others still lead with traditional algorithm rounds, and since it varies so much across employers, it’s worth researching the interview format at the specific company that you’re applying for.

00:57 This way, you won’t overdo any type of preparation. The key is balance. Grinding little problems all day won’t teach you how to build and ship a complete application, but ignoring algorithm practice entirely can also leave you clueless when an interviewer asks you to implement a binary search,

01:17 explain how a hash table works, or reverse a linked list on a whiteboard. Once you’re comfortable with Python fundamentals, dedicate some of your weekly practice time to coding challenges.

01:28 You could start with easy problems to build confidence and then work up to medium difficulty. What’s important is understanding the patterns rather than remembering solutions by heart.

01:39 That means knowing when to reach for a dictionary instead of a list, or when recursion makes sense, among others.

01:47 These resources will help you prepare for your interviews. Advent of Code is an annual challenge with fun Christmas themes, and it’s great if you enjoy puzzle-style problems so that the learning feels fun.

01:59 The Real Python Code Conversations are lessons where developers talk through the reasoning out loud while coding, which is exactly what technical interviews are testing for.

02:10 And it’s highly recommended if you could do mock interviews to help you feel prepared. You could simulate an interview with a study partner, or even with ChatGPT or a platform like Codementor. This last point deserves particular emphasis because many technical interviews ask you to explain your thought process as you code, not just to produce a correct answer.

02:34 And this feels really awkward at first, I have to confess, but it’s something that you can learn with practice. And of course, you can also practice narrating your reasoning even when you’re solving problems alone to build that muscle.

02:49 And remember, coding challenges are just one piece of the interview, but not the whole thing. So interviewers are also watching how you ask clarifying questions, how you respond to feedback, and whether you can communicate technical ideas clearly.

03:04 The projects you built and the professional habits you’ve developed matter just as much as whether you can reverse a linked list. So prepare for the full picture, not just the algorithm round.

03:16 In the next lesson, you’ll see how you can adapt to AI-enabled hiring practices.