[fxtentacle]

I suffer through DDG to avoid Google, but it's not pretty. Especially for terms with ambiguous meaning, DDG just performs way worse than Google.

For example, the tensorflow terminology for reducing dimensionality is "squeeze" and the scipy Gaussian distributing is called "normal".

A DDG query for "python squeeze normal" shows me stuff about the animal. Google correctly infers that I want programming advice.

I also really don't get why when I search for a TensorFlow function name, DDG will show me random pages with code examples instead of the official manual page for that function, which has my exact search query as meta title and as top h1.

[column]

A DDG query for "python squeeze normal" shows me (in order):

https://www.geeksforgeeks.org/numpy-squeeze-in-python/

https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/...

https://docs.scipy.org/doc/numpy/reference/generated/numpy.s...

https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/...

https://www.tutorialspoint.com/numpy/numpy_squeeze.htm

https://stackoverflow.com/questions/34990652/why-do-we-need-...

https://www.tensorflow.org/api_docs/python/tf/squeeze

https://pytorch.org/docs/stable/torch.html

https://docs.scipy.org/doc/scipy/reference/generated/scipy.s...

https://www.programcreek.com/python/example/13561/numpy.sque...

Litterally nothing on the first results about the animal.

[Angostura]

Just tried it in DDG the top 3 results for ‘python squeeze normal’ were for something called numpty.squeeze()

[afiori]

I have a different problem. When searching for stackoverflow style answers DDG almost always shows years old questions that no longer apply