If you’ve seen any behind-the-scenes view of any movie you probably are familiar with the *green-screen* – generally a way to combine an actor with some prerecorded or computer generated background. There are some unique effects you can do with this yourself using OpenCV!

## Happy Pi Day 2022

Once again it is Pi day, a great time to make pie – or order a Pizza or Pie (check if your local restaurants have a special Pi day deal ðŸ™‚ )

This year Pi day comes on a Monday, which hasn’t happened since 2016! There are some interesting tricks to calculating what any given day of the week was, and I’ll leave you with a video that James Grime published with some math tricks for the day of the week for any given date:

Continue reading “Happy Pi Day 2022”## Happy Twosday! and a Surprising Pi trick

In Ben Sparks’ video he shows a very interesting trick. On a decimal angle calculator run:

sin(1/5555)

If your calculator has more than the standard Ubuntu calculator’s digits of accuracy you could add even more repeating 5’s. The answer is approximately PI with extra zeros…

0.000003142

Since today is Twosday (**2-22**-2022 in any date format), here is a similar Tuesday math trick for the Python console:

```
from math import sin
sin(22/700000.0)
```

It is also .0003142… or approximately Pi!

Continue reading “Happy Twosday! and a Surprising Pi trick”## Happy Pi day 2021!

Happy Pi day! Hope you are enjoying making pie (within your household/pod) and learning some new math stuff today! Matt Parker has an interesting video up on an attempting to calculate pi from a diameter of one-molecule thick droplet spreading on water:

Continue reading “Happy Pi day 2021!”## Neural Networks Part 2: Learning Pi

Thousands of years ago, probably around the invention of the wheel, and before the time of Solomon, humans must have been measuring various objects… calculating some distances, and wondering,Â is there a better way to measure how far around the outside of a wheel is compared to its diameter? Continue reading “Neural Networks Part 2: Learning Pi”