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414
100_Numpy_exercises.ipynb
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6
100_Numpy_exercises.md
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@ -58,7 +58,7 @@ np.nan in set([np.nan])
#### 19. Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆) #### 19. Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆)
#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? #### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
#### 21. Create a checkerboard 8x8 matrix using the tile function (★☆☆) #### 21. Create a checkerboard 8x8 matrix using the tile function (★☆☆)
@ -89,7 +89,7 @@ Z/1/1
Z<Z>Z Z<Z>Z
``` ```
#### 28. What are the result of the following expressions? #### 28. What are the result of the following expressions? (★☆☆)
```python ```python
np.array(0) / np.array(0) np.array(0) / np.array(0)
np.array(0) // np.array(0) np.array(0) // np.array(0)
@ -135,7 +135,7 @@ np.sqrt(-1) == np.emath.sqrt(-1)
#### 46. Create a structured array with `x` and `y` coordinates covering the [0,1]x[0,1] area (★★☆) #### 46. Create a structured array with `x` and `y` coordinates covering the [0,1]x[0,1] area (★★☆)
#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) #### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) (★★☆)
#### 48. Print the minimum and maximum representable value for each numpy scalar type (★★☆) #### 48. Print the minimum and maximum representable value for each numpy scalar type (★★☆)

6
100_Numpy_exercises_with_hints.md
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@ -58,7 +58,7 @@ np.nan in set([np.nan])
`hint: np.diag` `hint: np.diag`
#### 19. Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆) #### 19. Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆)
`hint: array[::2]` `hint: array[::2]`
#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? #### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
`hint: np.unravel_index` `hint: np.unravel_index`
#### 21. Create a checkerboard 8x8 matrix using the tile function (★☆☆) #### 21. Create a checkerboard 8x8 matrix using the tile function (★☆☆)
`hint: np.tile` `hint: np.tile`
@ -89,7 +89,7 @@ Z/1/1
Z<Z>Z Z<Z>Z
``` ```
`No hints provided...` `No hints provided...`
#### 28. What are the result of the following expressions? #### 28. What are the result of the following expressions? (★☆☆)
```python ```python
np.array(0) / np.array(0) np.array(0) / np.array(0)
np.array(0) // np.array(0) np.array(0) // np.array(0)
@ -135,7 +135,7 @@ np.sqrt(-1) == np.emath.sqrt(-1)
`hint: argmax` `hint: argmax`
#### 46. Create a structured array with `x` and `y` coordinates covering the [0,1]x[0,1] area (★★☆) #### 46. Create a structured array with `x` and `y` coordinates covering the [0,1]x[0,1] area (★★☆)
`hint: np.meshgrid` `hint: np.meshgrid`
#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) #### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) (★★☆)
`hint: np.subtract.outer` `hint: np.subtract.outer`
#### 48. Print the minimum and maximum representable value for each numpy scalar type (★★☆) #### 48. Print the minimum and maximum representable value for each numpy scalar type (★★☆)
`hint: np.iinfo, np.finfo, eps` `hint: np.iinfo, np.finfo, eps`

8
100_Numpy_exercises_with_hints_with_solutions.md
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@ -168,7 +168,7 @@ Z[1::2,::2] = 1
Z[::2,1::2] = 1 Z[::2,1::2] = 1
print(Z) print(Z)
``` ```
#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? #### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
`hint: np.unravel_index` `hint: np.unravel_index`
```python ```python
@ -255,7 +255,7 @@ Z <- Z
Z/1/1 Z/1/1
Z<Z>Z Z<Z>Z
``` ```
#### 28. What are the result of the following expressions? #### 28. What are the result of the following expressions? (★☆☆)
```python ```python
np.array(0) / np.array(0) np.array(0) / np.array(0)
np.array(0) // np.array(0) np.array(0) // np.array(0)
@ -447,7 +447,7 @@ Z['x'], Z['y'] = np.meshgrid(np.linspace(0,1,5),
np.linspace(0,1,5)) np.linspace(0,1,5))
print(Z) print(Z)
``` ```
#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) #### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) (★★☆)
`hint: np.subtract.outer` `hint: np.subtract.outer`
```python ```python
@ -827,7 +827,7 @@ from numpy.lib import stride_tricks
def rolling(a, window): def rolling(a, window):
shape = (a.size - window + 1, window) shape = (a.size - window + 1, window)
strides = (a.itemsize, a.itemsize) strides = (a.strides[0], a.strides[0])
return stride_tricks.as_strided(a, shape=shape, strides=strides) return stride_tricks.as_strided(a, shape=shape, strides=strides)
Z = rolling(np.arange(10), 3) Z = rolling(np.arange(10), 3)
print(Z) print(Z)

8
100_Numpy_exercises_with_solutions.md
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@ -168,7 +168,7 @@ Z[1::2,::2] = 1
Z[::2,1::2] = 1 Z[::2,1::2] = 1
print(Z) print(Z)
``` ```
#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? #### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
```python ```python
@ -255,7 +255,7 @@ Z <- Z
Z/1/1 Z/1/1
Z<Z>Z Z<Z>Z
``` ```
#### 28. What are the result of the following expressions? #### 28. What are the result of the following expressions? (★☆☆)
```python ```python
np.array(0) / np.array(0) np.array(0) / np.array(0)
np.array(0) // np.array(0) np.array(0) // np.array(0)
@ -447,7 +447,7 @@ Z['x'], Z['y'] = np.meshgrid(np.linspace(0,1,5),
np.linspace(0,1,5)) np.linspace(0,1,5))
print(Z) print(Z)
``` ```
#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) #### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) (★★☆)
```python ```python
@ -827,7 +827,7 @@ from numpy.lib import stride_tricks
def rolling(a, window): def rolling(a, window):
shape = (a.size - window + 1, window) shape = (a.size - window + 1, window)
strides = (a.itemsize, a.itemsize) strides = (a.strides[0], a.strides[0])
return stride_tricks.as_strided(a, shape=shape, strides=strides) return stride_tricks.as_strided(a, shape=shape, strides=strides)
Z = rolling(np.arange(10), 3) Z = rolling(np.arange(10), 3)
print(Z) print(Z)

10
100_Numpy_random.ipynb
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@ -2,7 +2,7 @@
"cells": [ "cells": [
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "9187d1fe", "id": "bbe15f43",
"metadata": {}, "metadata": {},
"source": [ "source": [
"# 100 numpy exercises\n", "# 100 numpy exercises\n",
@ -18,7 +18,7 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "7b3fced0", "id": "ed56e5f0",
"metadata": {}, "metadata": {},
"source": [ "source": [
"File automatically generated. See the documentation to update questions/answers/hints programmatically." "File automatically generated. See the documentation to update questions/answers/hints programmatically."
@ -26,7 +26,7 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "77575766", "id": "14866554",
"metadata": {}, "metadata": {},
"source": [ "source": [
"Run the `initialize.py` module, then call a random question with `pick()` an hint towards its solution with\n", "Run the `initialize.py` module, then call a random question with `pick()` an hint towards its solution with\n",
@ -36,7 +36,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"id": "bcf0dd93", "id": "af8b6f2a",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -46,7 +46,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"id": "f401c090", "id": "f13ecfd7",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [

6
source/exercises100.ktx
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@ -212,7 +212,7 @@ Z[::2,1::2] = 1
print(Z) print(Z)
< q20 < q20
Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)
< h20 < h20
hint: np.unravel_index hint: np.unravel_index
@ -323,7 +323,7 @@ Z/1/1
Z<Z>Z Z<Z>Z
< q28 < q28
What are the result of the following expressions? What are the result of the following expressions? (★☆☆)
```python ```python
np.array(0) / np.array(0) np.array(0) / np.array(0)
np.array(0) // np.array(0) np.array(0) // np.array(0)
@ -572,7 +572,7 @@ Z['x'], Z['y'] = np.meshgrid(np.linspace(0,1,5),
print(Z) print(Z)
< q47 < q47
Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) (★★☆)
< h47 < h47
hint: np.subtract.outer hint: np.subtract.outer