daviddoji/numpy-100
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Regenerate all the files

Browse Source
This commit is contained in:
Nicolas P. Rougier
2023-04-03 09:26:02 +02:00
parent a4ac12cdc6
commit 4b759efce8
6 changed files with 226 additions and 250 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
100_Numpy_exercises_with_hints.md
View File

@@ -3,15 +3,12 @@
# 100 numpy exercises
This is a collection of exercises that have been collected in the numpy mailing list, on stack
overflow
This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow
and in the numpy documentation. The goal of this collection is to offer a quick reference for both old
and new
users but also to provide a set of exercises for those who teach.
and new users but also to provide a set of exercises for those who teach.
If you find an error or think you've a better way to
solve some of them, feel
If you find an error or think you've a better way to solve some of them, feel
free to open an issue at <https://github.com/rougier/numpy-100>.
File automatically generated. See the documentation to update questions/answers/hints programmatically.
@@ -221,7 +218,7 @@ np.sqrt(-1) == np.emath.sqrt(-1)
`hint: stride_tricks.as_strided, from numpy.lib.stride_tricks import sliding_window_view (np>=1.20.0)`
#### 85. Create a 2D array subclass such that Z[i,j] == Z[j,i] (★★★)
`hint: class method`
#### 86. Consider a set of p matrices wich shape (n,n) and a set of p vectors with shape (n,1). How to compute the sum of of the p matrix products at once? (result has shape (n,1)) (★★★)
#### 86. Consider a set of p matrices with shape (n,n) and a set of p vectors with shape (n,1). How to compute the sum of of the p matrix products at once? (result has shape (n,1)) (★★★)
`hint: np.tensordot`
#### 87. Consider a 16x16 array, how to get the block-sum (block size is 4x4)? (★★★)
`hint: np.add.reduceat, from numpy.lib.stride_tricks import sliding_window_view (np>=1.20.0)`