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# 100 numpy exercises
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This is a collection of exercises that have been collected in the numpy mailing list, on stack
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overflow
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This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow
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and in the numpy documentation. The goal of this collection is to offer a quick reference for both old
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and new
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users but also to provide a set of exercises for those who teach.
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and new users but also to provide a set of exercises for those who teach.
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If you find an error or think you've a better way to
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solve some of them, feel
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If you find an error or think you've a better way to solve some of them, feel
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free to open an issue at <https://github.com/rougier/numpy-100>.
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File automatically generated. See the documentation to update questions/answers/hints programmatically.
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@@ -170,12 +167,6 @@ Z = np.zeros((8,8),dtype=int)
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Z[1::2,::2] = 1
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Z[::2,1::2] = 1
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print(Z)
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# Alternative solution: Using reshaping
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arr = np.ones(64,dtype=int)
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arr[::2]=0
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arr = arr.reshape((8,8))
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print(arr)
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```
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#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
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@@ -1013,7 +1004,7 @@ S = symetric(np.random.randint(0,10,(5,5)))
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S[2,3] = 42
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print(S)
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```
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#### 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)) (★★★)
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#### 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)) (★★★)
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```python
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