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@ -58,7 +58,7 @@ np.nan in set([np.nan])
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#### 19. Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆)
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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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#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
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#### 21. Create a checkerboard 8x8 matrix using the tile function (★☆☆)
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@ -89,7 +89,7 @@ Z/1/1
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Z<Z>Z
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```
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#### 28. What are the result of the following expressions?
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#### 28. What are the result of the following expressions? (★☆☆)
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```python
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np.array(0) / np.array(0)
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np.array(0) // np.array(0)
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@ -135,7 +135,7 @@ np.sqrt(-1) == np.emath.sqrt(-1)
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#### 46. Create a structured array with `x` and `y` coordinates covering the [0,1]x[0,1] area (★★☆)
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#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj))
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#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) (★★☆)
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#### 48. Print the minimum and maximum representable value for each numpy scalar type (★★☆)
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@ -58,7 +58,7 @@ np.nan in set([np.nan])
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`hint: np.diag`
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#### 19. Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆)
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`hint: array[::2]`
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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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#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
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`hint: np.unravel_index`
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#### 21. Create a checkerboard 8x8 matrix using the tile function (★☆☆)
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`hint: np.tile`
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@ -89,7 +89,7 @@ Z/1/1
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Z<Z>Z
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```
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`No hints provided...`
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#### 28. What are the result of the following expressions?
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#### 28. What are the result of the following expressions? (★☆☆)
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```python
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np.array(0) / np.array(0)
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np.array(0) // np.array(0)
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@ -135,7 +135,7 @@ np.sqrt(-1) == np.emath.sqrt(-1)
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`hint: argmax`
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#### 46. Create a structured array with `x` and `y` coordinates covering the [0,1]x[0,1] area (★★☆)
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`hint: np.meshgrid`
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#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj))
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#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) (★★☆)
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`hint: np.subtract.outer`
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#### 48. Print the minimum and maximum representable value for each numpy scalar type (★★☆)
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`hint: np.iinfo, np.finfo, eps`
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@ -168,7 +168,7 @@ Z[1::2,::2] = 1
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Z[::2,1::2] = 1
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print(Z)
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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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#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
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`hint: np.unravel_index`
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```python
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@ -255,7 +255,7 @@ Z <- Z
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Z/1/1
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Z<Z>Z
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```
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#### 28. What are the result of the following expressions?
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#### 28. What are the result of the following expressions? (★☆☆)
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```python
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np.array(0) / np.array(0)
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np.array(0) // np.array(0)
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@ -447,7 +447,7 @@ Z['x'], Z['y'] = np.meshgrid(np.linspace(0,1,5),
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np.linspace(0,1,5))
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print(Z)
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```
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#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj))
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#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) (★★☆)
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`hint: np.subtract.outer`
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```python
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@ -827,7 +827,7 @@ from numpy.lib import stride_tricks
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def rolling(a, window):
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shape = (a.size - window + 1, window)
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strides = (a.itemsize, a.itemsize)
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strides = (a.strides[0], a.strides[0])
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return stride_tricks.as_strided(a, shape=shape, strides=strides)
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Z = rolling(np.arange(10), 3)
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print(Z)
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@ -168,7 +168,7 @@ Z[1::2,::2] = 1
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Z[::2,1::2] = 1
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print(Z)
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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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#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
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```python
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@ -255,7 +255,7 @@ Z <- Z
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Z/1/1
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Z<Z>Z
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```
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#### 28. What are the result of the following expressions?
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#### 28. What are the result of the following expressions? (★☆☆)
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```python
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np.array(0) / np.array(0)
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np.array(0) // np.array(0)
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@ -447,7 +447,7 @@ Z['x'], Z['y'] = np.meshgrid(np.linspace(0,1,5),
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np.linspace(0,1,5))
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print(Z)
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```
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#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj))
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#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) (★★☆)
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```python
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@ -827,7 +827,7 @@ from numpy.lib import stride_tricks
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def rolling(a, window):
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shape = (a.size - window + 1, window)
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strides = (a.itemsize, a.itemsize)
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strides = (a.strides[0], a.strides[0])
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return stride_tricks.as_strided(a, shape=shape, strides=strides)
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Z = rolling(np.arange(10), 3)
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print(Z)
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@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "markdown",
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"id": "9187d1fe",
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"id": "bbe15f43",
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"metadata": {},
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"source": [
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"# 100 numpy exercises\n",
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@ -18,7 +18,7 @@
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},
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{
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"cell_type": "markdown",
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"id": "7b3fced0",
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"id": "ed56e5f0",
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"metadata": {},
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"source": [
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"File automatically generated. See the documentation to update questions/answers/hints programmatically."
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@ -26,7 +26,7 @@
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},
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{
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"cell_type": "markdown",
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"id": "77575766",
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"id": "14866554",
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"metadata": {},
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"source": [
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"Run the `initialize.py` module, then call a random question with `pick()` an hint towards its solution with\n",
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@ -36,7 +36,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bcf0dd93",
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"id": "af8b6f2a",
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"metadata": {},
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"outputs": [],
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"source": [
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@ -46,7 +46,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f401c090",
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"id": "f13ecfd7",
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"metadata": {},
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"outputs": [],
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"source": [
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@ -212,7 +212,7 @@ Z[::2,1::2] = 1
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print(Z)
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< q20
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Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element?
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Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
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< h20
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hint: np.unravel_index
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@ -323,7 +323,7 @@ Z/1/1
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Z<Z>Z
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< q28
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What are the result of the following expressions?
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What are the result of the following expressions? (★☆☆)
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```python
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np.array(0) / np.array(0)
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np.array(0) // np.array(0)
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@ -572,7 +572,7 @@ Z['x'], Z['y'] = np.meshgrid(np.linspace(0,1,5),
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print(Z)
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< q47
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Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj))
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Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) (★★☆)
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< h47
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hint: np.subtract.outer
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