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410
100_Numpy_exercises.ipynb
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100_Numpy_exercises.md
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# 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)
#### 85. Create a 2D array subclass such that Z[i,j] == Z[j,i] (★★★)
#### 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)) (★★★)
#### 87. Consider a 16x16 array, how to get the block-sum (block size is 4x4)? (★★★)

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100_Numpy_exercises_with_hints.md
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@ -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)`

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100_Numpy_exercises_with_hints_with_solutions.md
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@ -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.
@ -170,12 +167,6 @@ Z = np.zeros((8,8),dtype=int)
Z[1::2,::2] = 1
Z[::2,1::2] = 1
print(Z)
# Alternative solution: Using reshaping
arr = np.ones(64,dtype=int)
arr[::2]=0
arr = arr.reshape((8,8))
print(arr)
```
#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
`hint: np.unravel_index`
@ -1013,7 +1004,7 @@ S = symetric(np.random.randint(0,10,(5,5)))
S[2,3] = 42
print(S)
```
#### 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`
```python

17
100_Numpy_exercises_with_solutions.md
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@ -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.
@ -170,12 +167,6 @@ Z = np.zeros((8,8),dtype=int)
Z[1::2,::2] = 1
Z[::2,1::2] = 1
print(Z)
# Alternative solution: Using reshaping
arr = np.ones(64,dtype=int)
arr[::2]=0
arr = arr.reshape((8,8))
print(arr)
```
#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
@ -1013,7 +1004,7 @@ S = symetric(np.random.randint(0,10,(5,5)))
S[2,3] = 42
print(S)
```
#### 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)) (★★★)
```python

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100_Numpy_random.ipynb
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@ -2,7 +2,7 @@
"cells": [
{
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"# 100 numpy exercises\n",
@ -18,7 +18,7 @@
},
{
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"File automatically generated. See the documentation to update questions/answers/hints programmatically."
@ -26,7 +26,7 @@
},
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"Run the `initialize.py` module, then call a random question with `pick()` an hint towards its solution with\n",
@ -36,7 +36,7 @@
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@ -46,7 +46,7 @@
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