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

Merge pull request #231 from Emmet-Ray/Emmet-Ray-fixed-typos

Browse Source 
fixed typos
This commit is contained in:
Nicolas P. Rougier
2025-04-09 16:22:39 +02:00
committed by GitHub
parent 814f08ea8c 125ae6022f
commit 00b93cbb23
1 changed files with 6 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
source/exercises100.ktx
View File

@@ -506,7 +506,7 @@ Z = np.arange(10)
np.add.reduce(Z) np.add.reduce(Z)
< q42 < q42
Consider two random array A and B, check if they are equal (★★☆) Consider two random arrays A and B, check if they are equal (★★☆)
< h42 < h42
hint: np.allclose, np.array_equal hint: np.allclose, np.array_equal
@@ -586,7 +586,7 @@ C = 1.0 / np.subtract.outer(X, Y)
print(np.linalg.det(C)) print(np.linalg.det(C))
< q48 < q48
Print the minimum and maximum representable value for each numpy scalar type (★★☆) Print the minimum and maximum representable values for each numpy scalar type (★★☆)
< h48 < h48
hint: np.iinfo, np.finfo, eps hint: np.iinfo, np.finfo, eps
@@ -659,7 +659,7 @@ D = scipy.spatial.distance.cdist(Z,Z)
print(D) print(D)
< q53 < q53
How to convert a float (32 bits) array into an integer (32 bits) in place? How to convert a float (32 bits) array into an integer (32 bits) array in place?
< h53 < h53
hint: view and [:] = hint: view and [:] =
@@ -969,7 +969,7 @@ Z0[::nz+1] = Z
print(Z0) print(Z0)
< q71 < q71
Consider an array of dimension (5,5,3), how to mulitply it by an array with dimensions (5,5)? (★★★) Consider an array of dimension (5,5,3), how to multiply it by an array with dimensions (5,5)? (★★★)
< h71 < h71
hint: array[:, :, None] hint: array[:, :, None]
@@ -1145,7 +1145,7 @@ def distance_points_to_lines(p: np.ndarray, p_1: np.ndarray, p_2: np.ndarray) ->
distance_points_to_lines(p, P0, P1) distance_points_to_lines(p, P0, P1)
< q80 < q80
Consider an arbitrary array, write a function that extract a subpart with a fixed shape and centered on a given element (pad with a `fill` value when necessary) (★★★) Consider an arbitrary array, write a function that extracts a subpart with a fixed shape and centered on a given element (pad with a `fill` value when necessary) (★★★)
< h80 < h80
hint: minimum maximum hint: minimum maximum
@@ -1366,7 +1366,7 @@ print (Z[np.argsort(Z)[-n:]])
print (Z[np.argpartition(-Z,n)[:n]]) print (Z[np.argpartition(-Z,n)[:n]])
< q90 < q90
Given an arbitrary number of vectors, build the cartesian product (every combinations of every item) (★★★) Given an arbitrary number of vectors, build the cartesian product (every combination of every item) (★★★)
< h90 < h90
hint: np.indices hint: np.indices