data:image/png;base64,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data:image/png;base64,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Updated by Tim Matthies on 6/24/2020 2021 TTT Row of Houses Practice 2020 V6 Row of Houses demo video**************************************************** This is where Audrey's video ends and your code-along begins with the classShow them how to import sounds. Not the Cat's Meow! Use POP!

Work through one element at a time explaining along the way.

This algorithm receives input from the useri1Work through one element at a time explaining along the way.

-100,-1000,0150,150150150n