... it is not reality, but only a representation of reality!
Welcome to my page! If you got here, you probably have a link to the folder you are interested in.
Link to an image filter project.Converting binary to base ten values with flippy do app.
Binary search visualization.
Converting binary to text or image format with bits to text.
Converting binary to text - version 2 Abstraction in Action. Find the path through a maze.Recognizing hand-drawn digits - trained on 0, 1, 2 - with a tensorflow model.
And a version using a pretrained model - to edit so it does not need to use jQuery. It gets confused if scribling something that does not look like a digit and crashes the browser. Need to add a check for that!
A page with formatting using interactiveCSS.
Notes on computational thinking and PRISM.
A bit of python syntax a python_class.
Counting dots on domino tiles domino dots and miniModel. Check how to implement an next button to go multiple files in the folder.
At its heart, computational thinking is the use of computer science methods to solve real-world problems. It is fundamental to how modern people understand the world around them. More specifically, computational thinking encompasses how we design systems and think algorithmically to solve problems. With computers being pervasive and computer science advances influencing many aspects of our lives, thinking like a computer scientist is about understanding our modern world.
The goals of this module are: