Regenerate all the files

Fixed a typo

100_Numpy_exercises.md

@@ -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)
 
 #### 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)? (★★★)
 

100_Numpy_exercises_with_hints.md

@@ -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)`

100_Numpy_exercises_with_hints_with_solutions.md

@@ -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.
 
@@ -615,8 +612,17 @@ print(Z[Z[:,1].argsort()])
 ```python
 # Author: Warren Weckesser
 
+# null : 0 
 Z = np.random.randint(0,3,(3,10))
 print((~Z.any(axis=0)).any())
+
+# null : np.nan
+Z=np.array([
+    [0,1,np.nan],
+    [1,2,np.nan],
+    [4,5,np.nan]
+])
+print(np.isnan(Z).all(axis=0))
 ```
 #### 61. Find the nearest value from a given value in an array (★★☆)
 `hint: np.abs, argmin, flat`
@@ -648,7 +654,7 @@ class NamedArray(np.ndarray):
         return obj
     def __array_finalize__(self, obj):
         if obj is None: return
-        self.info = getattr(obj, 'name', "no name")
+        self.name = getattr(obj, 'name', "no name")
 
 Z = NamedArray(np.arange(10), "range_10")
 print (Z.name)
@@ -998,7 +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

100_Numpy_exercises_with_solutions.md

@@ -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.
 
@@ -615,8 +612,17 @@ print(Z[Z[:,1].argsort()])
 ```python
 # Author: Warren Weckesser
 
+# null : 0 
 Z = np.random.randint(0,3,(3,10))
 print((~Z.any(axis=0)).any())
+
+# null : np.nan
+Z=np.array([
+    [0,1,np.nan],
+    [1,2,np.nan],
+    [4,5,np.nan]
+])
+print(np.isnan(Z).all(axis=0))
 ```
 #### 61. Find the nearest value from a given value in an array (★★☆)
 
@@ -648,7 +654,7 @@ class NamedArray(np.ndarray):
         return obj
     def __array_finalize__(self, obj):
         if obj is None: return
-        self.info = getattr(obj, 'name', "no name")
+        self.name = getattr(obj, 'name', "no name")
 
 Z = NamedArray(np.arange(10), "range_10")
 print (Z.name)
@@ -998,7 +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

100_Numpy_random.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "a194d42e",
+   "id": "e06c1964",
    "metadata": {},
    "source": [
     "# 100 numpy exercises\n",
@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a7fd49f7",
+   "id": "c108c1c4",
    "metadata": {},
    "source": [
     "File automatically generated. See the documentation to update questions/answers/hints programmatically."
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b702d5a2",
+   "id": "2aefe09b",
    "metadata": {},
    "source": [
     "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",
    "execution_count": null,
-   "id": "da60e1d0",
+   "id": "55c8f855",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -46,7 +46,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9fb544fe",
+   "id": "8f1e8a4a",
    "metadata": {},
    "outputs": [],
    "source": [

README.md

@@ -19,5 +19,4 @@ This work is licensed under the MIT license.
 
 ### Variants in Other Languages
 
-#### Julia 
- - [100 Julia Exercises](https://github.com/RoyiAvital/Julia100Exercises).
+ - **Julia**: [100 Julia Exercises](https://github.com/RoyiAvital/Julia100Exercises).

generators.py

@@ -108,7 +108,7 @@ def create_markdown(destination_filename='100_Numpy_exercises', with_hints=False
 
     # Add questions (and hint or answers if required)
     for n in range(1, 101):
-        mdfile.new_header(title=f"{n}. {QHA[f'q{n}']}", level=4)
+        mdfile.new_header(title=f"{n}. {QHA[f'q{n}']}", level=4, add_table_of_contents="n")
         if with_hints:
             mdfile.write(f"`{QHA[f'h{n}']}`")
         if with_solutions:

source/exercises100.ktx

@@ -1246,7 +1246,7 @@ S[2,3] = 42
 print(S)
 
 < q86
-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)) (★★★)
+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)) (★★★)
 
 < h86
 hint: np.tensordot