Rob Pike Quotes

Realize you won't master data structures until you are working on a real-world problem and discover that a hash is the solution to your performance woes.

Algorithm

When you apply computer science and machine learning to areas that haven't had any innovation in 50 years, you can make rapid advances that seem really incredible.

I've always been interested in using mathematics to make the world work better.

We wanted to solve robot problems and needed some vision, action, reasoning, planning, and so forth. We even used some structural learning, such as was being explored by Patrick Winston.

Graphics has lately made a great shift towards machine learning, which itself is about understanding data.

I wanted to make an explicitly educational comic that taught readers the concepts I covered in my introductory programming class. That's what 'Secret Coders' is. It's both a fun story about a group of tweens who discover a secret coding school, and an explanation of some foundational ideas in computer science.

There is no physical law precluding particles from being organised in ways that perform even more advanced computations than the arrangements of particles in human brains.

The computer is not, in our opinion, a good model of the mind, but it is as the trumpet is to the orchestra - you really need it. And so, we have very massive simulations in computers because the problem is, of course, very complex.

Personally, I tend to be more interested in security and performance-related issues than other things.

Every game, and almost every life situation, has short cuts: ways you can get better without learning the entire literature of the game from beginning to end.

When you learn to code, it opens up for you to learn many other things.

Thus, the standard library will serve as both a tool and as a teacher.

Anytime you want to hear about graph partitioning, I will be glad to tell you what I know about graph partitioning. It remains a standard problem. I think it's an interesting problem, because it shows up in a variety of guises in real life.

I majored in Computer Science at U.C. Berkeley and worked as a software developer for a couple of years. Then I taught high school computer science for over a decade and a half in Oakland, California.

My work was fairly theoretical. It was in recursive function theory. And in particular, hierarchies of functions in terms of computational complexity. I got involved in real computers and programming mainly by being - well, I was interested even as I came to graduate school.

The first programming assignment I had in high school was to find the first 100 Fibonacci numbers. Instead, I thought it would be cooler to write a program to get the teacher's password and all the other students' passwords. And the teacher gave me an A and told the class how smart I was.

After graduating in 1973 I went into the programming field.

My father taught me Basic and rudimentary C, I learned everything else on my own, including studying computational complexity on my own. That's more a function of my age than anything else though - back when I was in school there were hardly any programming classes.

In 2020 hindsight, probably you can do everything a little bit better

The science of operations, as derived from mathematics more especially, is a science of itself, and has its own abstract truth and value.

I started programming Apples in seventh grade.

Coming from a programming background, I have a good sense of what's feasible and what's not feasible in a game.

The biggest room in the world is the room for improvement.

I am always trying to get better as a player, no matter how things are going, always trying to expand my game and look into how I can hit more areas or bowl different balls or whatever it is.