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

Regenerate all the files

Browse Source
This commit is contained in:
Nicolas P. Rougier
2023-04-03 09:26:02 +02:00
parent a4ac12cdc6
commit 4b759efce8
6 changed files with 226 additions and 250 deletions
Download Patch File Download Diff File Expand all files Collapse all files

410
100_Numpy_exercises.ipynb
View File

File diff suppressed because it is too large Load Diff

11
100_Numpy_exercises.md
View File

@@ -3,15 +3,12 @@
# 100 numpy exercises # 100 numpy exercises
This is a collection of exercises that have been collected in the numpy mailing list, on stack This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow
overflow
and in the numpy documentation. The goal of this collection is to offer a quick reference for both old and in the numpy documentation. The goal of this collection is to offer a quick reference for both old
and new and new users but also to provide a set of exercises for those who teach.
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 If you find an error or think you've a better way to solve some of them, feel
solve some of them, feel
free to open an issue at <https://github.com/rougier/numpy-100>. free to open an issue at <https://github.com/rougier/numpy-100>.
File automatically generated. See the documentation to update questions/answers/hints programmatically. 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] (★★★) #### 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)? (★★★) #### 87. Consider a 16x16 array, how to get the block-sum (block size is 4x4)? (★★★)

11
100_Numpy_exercises_with_hints.md
View File

@@ -3,15 +3,12 @@
# 100 numpy exercises # 100 numpy exercises
This is a collection of exercises that have been collected in the numpy mailing list, on stack This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow
overflow
and in the numpy documentation. The goal of this collection is to offer a quick reference for both old and in the numpy documentation. The goal of this collection is to offer a quick reference for both old
and new and new users but also to provide a set of exercises for those who teach.
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 If you find an error or think you've a better way to solve some of them, feel
solve some of them, feel
free to open an issue at <https://github.com/rougier/numpy-100>. free to open an issue at <https://github.com/rougier/numpy-100>.
File automatically generated. See the documentation to update questions/answers/hints programmatically. 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)` `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] (★★★) #### 85. Create a 2D array subclass such that Z[i,j] == Z[j,i] (★★★)
`hint: class method` `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` `hint: np.tensordot`
#### 87. Consider a 16x16 array, how to get the block-sum (block size is 4x4)? (★★★) #### 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)` `hint: np.add.reduceat, from numpy.lib.stride_tricks import sliding_window_view (np>=1.20.0)`

17
100_Numpy_exercises_with_hints_with_solutions.md
View File

@@ -3,15 +3,12 @@
# 100 numpy exercises # 100 numpy exercises
This is a collection of exercises that have been collected in the numpy mailing list, on stack This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow
overflow
and in the numpy documentation. The goal of this collection is to offer a quick reference for both old and in the numpy documentation. The goal of this collection is to offer a quick reference for both old
and new and new users but also to provide a set of exercises for those who teach.
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 If you find an error or think you've a better way to solve some of them, feel
solve some of them, feel
free to open an issue at <https://github.com/rougier/numpy-100>. free to open an issue at <https://github.com/rougier/numpy-100>.
File automatically generated. See the documentation to update questions/answers/hints programmatically. 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[1::2,::2] = 1
Z[::2,1::2] = 1 Z[::2,1::2] = 1
print(Z) 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? (★☆☆) #### 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`
@@ -1013,7 +1004,7 @@ S = symetric(np.random.randint(0,10,(5,5)))
S[2,3] = 42 S[2,3] = 42
print(S) 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` `hint: np.tensordot`
```python ```python

17
100_Numpy_exercises_with_solutions.md
View File

@@ -3,15 +3,12 @@
# 100 numpy exercises # 100 numpy exercises
This is a collection of exercises that have been collected in the numpy mailing list, on stack This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow
overflow
and in the numpy documentation. The goal of this collection is to offer a quick reference for both old and in the numpy documentation. The goal of this collection is to offer a quick reference for both old
and new and new users but also to provide a set of exercises for those who teach.
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 If you find an error or think you've a better way to solve some of them, feel
solve some of them, feel
free to open an issue at <https://github.com/rougier/numpy-100>. free to open an issue at <https://github.com/rougier/numpy-100>.
File automatically generated. See the documentation to update questions/answers/hints programmatically. 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[1::2,::2] = 1
Z[::2,1::2] = 1 Z[::2,1::2] = 1
print(Z) 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? (★☆☆) #### 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 S[2,3] = 42
print(S) 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 ```python

10
100_Numpy_random.ipynb
View File

@@ -2,7 +2,7 @@
"cells": [ "cells": [
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "fc29ba19", "id": "e06c1964",
"metadata": {}, "metadata": {},
"source": [ "source": [
"# 100 numpy exercises\n", "# 100 numpy exercises\n",
@@ -18,7 +18,7 @@
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "c71c938e", "id": "c108c1c4",
"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": "9295ebad", "id": "2aefe09b",
"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": "75ba9fda", "id": "55c8f855",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -46,7 +46,7 @@
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"id": "5e130ff3", "id": "8f1e8a4a",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [