Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Before Robin Symes, one of Golf Digest's top instructors in Florida, gives you six hacks to avoid slice the next time you tee it up, it might be helpful to relize why the ball keeps peeling off to the ...

See the screenshot below. Basically, I'm timing some very simple function, whose input is the slice of an array. However, if the input is a jax array, it's much slower than if it's a numpy array, or ...

Accessing items in a list (and other iterables such as tuples and strings) is a fundamental ability for Python programmers, and many Python tools use similar indexing and slicing principles (e.g., ...

assert(iota(1, 3, 4).slice.squeeze!0.shape == [3, 4]); assert(iota(3, 1, 4).slice.squeeze!1.shape == [3, 4]); assert(iota(3, 4, 1).slice.squeeze!(-1).shape == [3, 4 ...