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mention preparing data for ML

Status: Open.

#20 In edbennett/performant-numpy;

· edbennett opened on Jul 18, 2024

mention object arrays

Status: Open.

#19 In edbennett/performant-numpy;

· edbennett opened on Jul 18, 2024

mention np.append

Status: Open.

#18 In edbennett/performant-numpy;

· edbennett opened on Jul 18, 2024

Explain maths of <code>einsum</code> in more detail

Status: Open.

#17 In edbennett/performant-numpy;

· edbennett opened on Nov 21, 2023

Exercise suggestion: jit example as pure numpy

Status: Open.

#15 In edbennett/performant-numpy;

· chillenzer opened on Nov 16, 2022

Use njit?

Status: Open.

#14 In edbennett/performant-numpy;

· chillenzer opened on Nov 16, 2022

Use typehints?

Status: Open.

#13 In edbennett/performant-numpy;

· chillenzer opened on Nov 16, 2022

Mention BLAS as reason for numba lagging behind?

Status: Open.

#12 In edbennett/performant-numpy;

· chillenzer opened on Nov 15, 2022

Consider adding hybrid numba-numpy ufuncs

Status: Open.

#10 In edbennett/performant-numpy;

· chillenzer opened on Nov 15, 2022

out kwarg in numpy operations

Status: Open.

#9 In edbennett/performant-numpy;

· chillenzer opened on Nov 15, 2022

Bash code block should be python

Status: Open.

#8 In edbennett/performant-numpy;

· chillenzer opened on Nov 15, 2022

np.expand_dims takes tuples

Status: Open.

#7 In edbennett/performant-numpy;

· chillenzer opened on Nov 15, 2022