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edbennett
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performant-numpy
A lesson on ways to write Numpy code that is performant
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mention preparing data for ML
#20
edbennett
opened
2 months ago
0
mention object arrays
#19
edbennett
opened
2 months ago
0
mention np.append
#18
edbennett
opened
2 months ago
0
Explain maths of `einsum` in more detail
#17
edbennett
opened
10 months ago
0
Typo in "Larger Problem Size"
#16
chillenzer
closed
2 months ago
0
Exercise suggestion: jit example as pure numpy
#15
chillenzer
opened
1 year ago
0
Use njit?
#14
chillenzer
opened
1 year ago
0
Use typehints?
#13
chillenzer
opened
1 year ago
0
Mention BLAS as reason for numba lagging behind?
#12
chillenzer
opened
1 year ago
0
Change the usage signature for generalised ufunc
#11
chillenzer
closed
1 year ago
1
Consider adding hybrid numba-numpy ufuncs
#10
chillenzer
opened
1 year ago
0
out kwarg in numpy operations
#9
chillenzer
opened
1 year ago
0
Bash code block should be python
#8
chillenzer
opened
1 year ago
0
np.expand_dims takes tuples
#7
chillenzer
opened
1 year ago
1
np.einsum_path
#6
chillenzer
opened
1 year ago
0
broadcasting episode - "\(2 \times 3\)"
#5
mmesiti
closed
2 years ago
1
gufuncs can be broadcast
#4
edbennett
opened
4 years ago
0
fixes solution code not being able to run due to Tn not being defined…
#3
colinsauze
closed
5 years ago
0
error running part 4/5 of the "Array broadcasts for image manipulation" exercise
#2
colinsauze
closed
5 years ago
3
Generalised ufunc exercise needs to create Tn array
#1
colinsauze
closed
5 years ago
1