Advent of Code 2021
Advent of Code 2021 is about to start on December 1.
Advent of Code 2021 is about to start on December 1.
I recently converted a number of websites over to using Let’s Encrypt for SSL certificates, and the process was much easier than I expected.
I’ve come across the Fourier Transform a number of times, but I don’t think I ever developed a good intuition for what was going on. The following 3Blue1Brown video does a great job of providing that intuition.
One of Haskell’s features that I really liked was list comprehensions, so I was very pleased to discover how nice Julia’s comprehensions are!
This instructional movie from 1937 explains how a car’s differential gears work (to allow the driving wheels to turn at different speeds when cornering) in very easy to understand way! Modern tutorials could learn a lot from this.
A friend sent me the following videos that I found beautiful from a math & physics perspective.
I’ve been using wkhtmltopdf in Rails projects for years. After upgrading to Rails 6 and Ruby 2.6, PDF creation started failing for me. This post documents what I did to get it to work again.
Some Racketeers mentioned the Advent of Code 2020, and I thought it would be fun to give it a shot this year. I’ll be discussing my solution to Day 1 Part 2, so if you haven’t completed it yet, you may want to hold off on reading further.
I added a advent-of-code–2020 directory within my LearningRacket repository where I’ll be adding my solutions.
Someone on the Julia Slack mentioned this interview with Peter Norvig on the Gradient Dissent podcast.
The 4th edition of Peter’s book, “Artificial Intelligence: A Modern Approach” was released earlier this year.
When asked, “Do you think that Python will continue to be the main programming language for ML for the next decade?”, Peter replied, “Looking at where we are today, I guess I would be happier if Julia was the main language” ! (40:34)
I occasionally compile some statistics on programming language popularity by running a bunch of Google searches to rank programming languages according to the number of results. I wouldn’t read too much into these stats, but they are not without value.
This time, I’ve included the code I use (written in Racket) and the raw data.
I made the following Google searches and summed the results:
"implemented in <lang>"
"written in <lang>"
"developed in <lang>"
"programmed in <lang>"