so it’s tempting to use common Python metaphors for working with them. If we wanted to create a NumPy array with the numbers 0-1000, we could in theory do this: x = np.array([_ for _ in range ...

This is crucial, not least because of Python’s popularity for use in data science. But what precisely is an array? And how do you use arrays in Python? An array is a way to store multiple values ...

To import NumPy into your Python session or script, just use this command ... which will set up an evenly spaced array of values. This command will set up an x-axis of 50 datapoints between ...

and it will automatically compute the vector/matrix product for each pixel, and return a new image. This is the method we will use below. For quick reference, some common matrices we will use are: ...

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports. There’s an intriguing new option for people ...

[Vinod Stanur] is working with a mouse input and a microcontroller driven LED matrix. The mouse cursor is tracked inside of a window by Python and the resulting coordinates on the LED grid are ...