Issues

• mention preparing data for ML

  edbennett/performant-numpy#20 · Filter by author edbennett opened on Jul 18, 2024

• mention object arrays

  edbennett/performant-numpy#19 · Filter by author edbennett opened on Jul 18, 2024

• mention np.append

  edbennett/performant-numpy#18 · Filter by author edbennett opened on Jul 18, 2024

• Explain maths of einsum in more detail

  edbennett/performant-numpy#17 · Filter by author edbennett opened on Nov 21, 2023

• Exercise suggestion: jit example as pure numpy

  edbennett/performant-numpy#15 · Filter by author chillenzer opened on Nov 16, 2022

• Use njit?

  edbennett/performant-numpy#14 · Filter by author chillenzer opened on Nov 16, 2022

• Use typehints?

  edbennett/performant-numpy#13 · Filter by author chillenzer opened on Nov 16, 2022

• Mention BLAS as reason for numba lagging behind?

  edbennett/performant-numpy#12 · Filter by author chillenzer opened on Nov 15, 2022

• Consider adding hybrid numba-numpy ufuncs

  edbennett/performant-numpy#10 · Filter by author chillenzer opened on Nov 15, 2022

• out kwarg in numpy operations

  edbennett/performant-numpy#9 · Filter by author chillenzer opened on Nov 15, 2022

• Bash code block should be python

  edbennett/performant-numpy#8 · Filter by author chillenzer opened on Nov 15, 2022

• np.expand_dims takes tuples

  edbennett/performant-numpy#7 · Filter by author chillenzer opened on Nov 15, 2022
  1

• np.einsum_path

  edbennett/performant-numpy#6 · Filter by author chillenzer opened on Nov 15, 2022

• gufuncs can be broadcast

  edbennett/performant-numpy#4 · Filter by author edbennett opened on May 6, 2020