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

solutions update from 00b93cb

Browse Source
This commit is contained in:
rougier
2025-04-09 14:23:04 +00:00
committed by github-actions[bot]
parent 00b93cbb23
commit 6b8d5bcc14
6 changed files with 239 additions and 239 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
100_Numpy_exercises_with_hints_with_solutions.md
View File

@@ -396,7 +396,7 @@ print(Z)
Z = np.arange(10)
np.add.reduce(Z)
```
#### 42. Consider two random array A and B, check if they are equal (★★☆)
#### 42. Consider two random arrays A and B, check if they are equal (★★☆)
`hint: np.allclose, np.array_equal`
```python
@@ -458,7 +458,7 @@ Y = X + 0.5
C = 1.0 / np.subtract.outer(X, Y)
print(np.linalg.det(C))
```
#### 48. Print the minimum and maximum representable value for each numpy scalar type (★★☆)
#### 48. Print the minimum and maximum representable values for each numpy scalar type (★★☆)
`hint: np.iinfo, np.finfo, eps`
```python
@@ -516,7 +516,7 @@ Z = np.random.random((10,2))
D = scipy.spatial.distance.cdist(Z,Z)
print(D)
```
#### 53. How to convert a float (32 bits) array into an integer (32 bits) in place?
#### 53. How to convert a float (32 bits) array into an integer (32 bits) array in place?
`hint: view and [:] =`
```python
@@ -772,7 +772,7 @@ Z0 = np.zeros(len(Z) + (len(Z)-1)*(nz))
Z0[::nz+1] = Z
print(Z0)
```
#### 71. Consider an array of dimension (5,5,3), how to mulitply it by an array with dimensions (5,5)? (★★★)
#### 71. Consider an array of dimension (5,5,3), how to multiply it by an array with dimensions (5,5)? (★★★)
`hint: array[:, :, None]`
```python
@@ -921,7 +921,7 @@ def distance_points_to_lines(p: np.ndarray, p_1: np.ndarray, p_2: np.ndarray) ->
distance_points_to_lines(p, P0, P1)
```
#### 80. 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) (★★★)
#### 80. 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) (★★★)
`hint: minimum maximum`
```python
@@ -1112,7 +1112,7 @@ print (Z[np.argsort(Z)[-n:]])
# Fast
print (Z[np.argpartition(-Z,n)[:n]])
```
#### 90. Given an arbitrary number of vectors, build the cartesian product (every combinations of every item) (★★★)
#### 90. Given an arbitrary number of vectors, build the cartesian product (every combination of every item) (★★★)
`hint: np.indices`
```python