I liked the way Grokking the coding interview organized problems into learnable patterns. However, the course is expensive and the majority of the time the problems are copy-pasted from leetcode. As the explanations on leetcode are usually just as good, the course really boils down to being a glorified curated list of leetcode problems.

So below I made a list of leetcode problems that are as close to grokking problems as possible.

• https://leetcode.com/problems/maximum-subarray/ # Close enough
• https://leetcode.com/problems/minimum-size-subarray-sum/

On September 28, 2021, I asked on Twitter:

PL Twitter:

you get to recommend one published PL paper for an undergrad to read with oversight by someone experienced. the paper should be interesting, approachable, and (mostly) self-contained.

what paper do you recommend?

There's three parts to it: the water, the coin, and the air. The goal is to program them individually such that when we put all of them together, the interactions between them play out on their own, mimicking real life as closely as possible (as opposed to us hardcoding specific scenarios)

We will do this using smoothed-particle hydrodynamics. The idea is to simulate water with lots of really small particles. We control properties of the particles such as elasticity, collision softness, viscosity etc. to try and simulate the behaviour of liquids in real life as closely as possible. Ideally, we would want to have as few of these variables as possible to reduce complexity in our program.

To get started, I found some very useful resources on KhanAcademy's Pixar in a Box course, under the Effects uni