From a6ec72ed373daee18ee4d923048d52bb28fc20f6 Mon Sep 17 00:00:00 2001
From: Bouyahya Zied <zied.bouyahya@ec-lyon.fr>
Date: Mon, 10 Mar 2025 10:43:26 +0000
Subject: [PATCH] Upload New File

---
 NumPy Exercises/100_Numpy_exercises.ipynb | 1657 +++++++++++++++++++++
 1 file changed, 1657 insertions(+)
 create mode 100644 NumPy Exercises/100_Numpy_exercises.ipynb

diff --git a/NumPy Exercises/100_Numpy_exercises.ipynb b/NumPy Exercises/100_Numpy_exercises.ipynb
new file mode 100644
index 0000000..5468772
--- /dev/null
+++ b/NumPy Exercises/100_Numpy_exercises.ipynb	
@@ -0,0 +1,1657 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d46e26d4",
+   "metadata": {},
+   "source": [
+    "# 100 numpy exercises\n",
+    "\n",
+    "Source https://github.com/rougier/numpy-100/blob/master/100_Numpy_exercises.ipynb \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dcc6b1ac",
+   "metadata": {},
+   "source": [
+    "#### 1. Import the numpy package under the name `np` (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6c52078e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "118ded29",
+   "metadata": {},
+   "source": [
+    "#### 2. Print the numpy version and the configuration (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "023a2c52",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "172b913a",
+   "metadata": {},
+   "source": [
+    "#### 3. Create a null vector of size 10 (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "df54025a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "95ee9e07",
+   "metadata": {},
+   "source": [
+    "#### 4. How to find the memory size of any array (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5c5b0950",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "45fca154",
+   "metadata": {},
+   "source": [
+    "#### 5. How to get the documentation of the numpy add function from the command line? (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fcb1248a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "674e8019",
+   "metadata": {},
+   "source": [
+    "#### 6. Create a null vector of size 10 but the fifth value which is 1 (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "452df2a7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7685e337",
+   "metadata": {},
+   "source": [
+    "#### 7. Create a vector with values ranging from 10 to 49 (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10847d11",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "54c913ba",
+   "metadata": {},
+   "source": [
+    "#### 8. Reverse a vector (first element becomes last) (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34722e83",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8e72fd08",
+   "metadata": {},
+   "source": [
+    "#### 9. Create a 3x3 matrix with values ranging from 0 to 8 (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e18eef56",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "088424fc",
+   "metadata": {},
+   "source": [
+    "#### 10. Find indices of non-zero elements from [1,2,0,0,4,0] (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9a402d06",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f347de9",
+   "metadata": {},
+   "source": [
+    "#### 11. Create a 3x3 identity matrix (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e38459c2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "24e98f25",
+   "metadata": {},
+   "source": [
+    "#### 12. Create a 3x3x3 array with random values (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "94752bb3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7cbca2cc",
+   "metadata": {},
+   "source": [
+    "#### 13. Create a 10x10 array with random values and find the minimum and maximum values (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c0643b1f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6cab4cbb",
+   "metadata": {},
+   "source": [
+    "#### 14. Create a random vector of size 30 and find the mean value (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e922a524",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "72053be8",
+   "metadata": {},
+   "source": [
+    "#### 15. Create a 2d array with 1 on the border and 0 inside (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6bc84dfe",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "86b0206b",
+   "metadata": {},
+   "source": [
+    "#### 16. How to add a border (filled with 0's) around an existing array? (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "41e66e3e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "98a45574",
+   "metadata": {},
+   "source": [
+    "#### 17. What is the result of the following expression? (★☆☆)\n",
+    "```python\n",
+    "0 * np.nan\n",
+    "np.nan == np.nan\n",
+    "np.inf > np.nan\n",
+    "np.nan - np.nan\n",
+    "np.nan in set([np.nan])\n",
+    "0.3 == 3 * 0.1\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7eb533d5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1486619a",
+   "metadata": {},
+   "source": [
+    "#### 18. Create a 5x5 matrix with values 1,2,3,4 just below the diagonal (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2b9fb59c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "319287fd",
+   "metadata": {},
+   "source": [
+    "#### 19. Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "299f5e60",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fb1686ed",
+   "metadata": {},
+   "source": [
+    "#### 20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element? (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "22888cc4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "137ea278",
+   "metadata": {},
+   "source": [
+    "#### 21. Create a checkerboard 8x8 matrix using the tile function (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9cb81fe1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9319f5a1",
+   "metadata": {},
+   "source": [
+    "#### 22. Normalize a 5x5 random matrix (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fcdc0459",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f1902fef",
+   "metadata": {},
+   "source": [
+    "#### 23. Create a custom dtype that describes a color as four unsigned bytes (RGBA) (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7445cb2d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f34bd2a",
+   "metadata": {},
+   "source": [
+    "#### 24. Multiply a 5x3 matrix by a 3x2 matrix (real matrix product) (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ec8bd6da",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b1919ba3",
+   "metadata": {},
+   "source": [
+    "#### 25. Given a 1D array, negate all elements which are between 3 and 8, in place. (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5b63b63b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fb1daa27",
+   "metadata": {},
+   "source": [
+    "#### 26. What is the output of the following script? (★☆☆)\n",
+    "```python\n",
+    "# Author: Jake VanderPlas\n",
+    "\n",
+    "print(sum(range(5),-1))\n",
+    "from numpy import *\n",
+    "print(sum(range(5),-1))\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52a34d3d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "89b7e7a7",
+   "metadata": {},
+   "source": [
+    "#### 27. Consider an integer vector Z, which of these expressions are legal? (★☆☆)\n",
+    "```python\n",
+    "Z**Z\n",
+    "2 << Z >> 2\n",
+    "Z <- Z\n",
+    "1j*Z\n",
+    "Z/1/1\n",
+    "Z<Z>Z\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "451181cf",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8c7601c6",
+   "metadata": {},
+   "source": [
+    "#### 28. What are the result of the following expressions? (★☆☆)\n",
+    "```python\n",
+    "np.array(0) / np.array(0)\n",
+    "np.array(0) // np.array(0)\n",
+    "np.array([np.nan]).astype(int).astype(float)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52983a0b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06c9164d",
+   "metadata": {},
+   "source": [
+    "#### 29. How to round away from zero a float array ? (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4cce0af8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52235994",
+   "metadata": {},
+   "source": [
+    "#### 30. How to find common values between two arrays? (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "27eff6b1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e6f7d78",
+   "metadata": {},
+   "source": [
+    "#### 31. How to ignore all numpy warnings (not recommended)? (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1bdde6e1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b001277e",
+   "metadata": {},
+   "source": [
+    "#### 32. Is the following expressions true? (★☆☆)\n",
+    "```python\n",
+    "np.sqrt(-1) == np.emath.sqrt(-1)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d8673bdf",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b9a5ff84",
+   "metadata": {},
+   "source": [
+    "#### 33. How to get the dates of yesterday, today and tomorrow? (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f33f9cc2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f8e96e58",
+   "metadata": {},
+   "source": [
+    "#### 34. How to get all the dates corresponding to the month of July 2016? (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3927a8e8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "557c163e",
+   "metadata": {},
+   "source": [
+    "#### 35. How to compute ((A+B)*(-A/2)) in place (without copy)? (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3c2f59ac",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14c05852",
+   "metadata": {},
+   "source": [
+    "#### 36. Extract the integer part of a random array of positive numbers using 4 different methods (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8b7d2937",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "003b8721",
+   "metadata": {},
+   "source": [
+    "#### 37. Create a 5x5 matrix with row values ranging from 0 to 4 (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "63c75db0",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8e71dc21",
+   "metadata": {},
+   "source": [
+    "#### 38. Consider a generator function that generates 10 integers and use it to build an array (★☆☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f6aefd94",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b7f03449",
+   "metadata": {},
+   "source": [
+    "#### 39. Create a vector of size 10 with values ranging from 0 to 1, both excluded (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a27cd904",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "043156c5",
+   "metadata": {},
+   "source": [
+    "#### 40. Create a random vector of size 10 and sort it (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6ae5eb58",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4f7e8f3f",
+   "metadata": {},
+   "source": [
+    "#### 41. How to sum a small array faster than np.sum? (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "88790af3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "13d1ca52",
+   "metadata": {},
+   "source": [
+    "#### 42. Consider two random array A and B, check if they are equal (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ca6dd579",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cf7cca6d",
+   "metadata": {},
+   "source": [
+    "#### 43. Make an array immutable (read-only) (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cbbb8917",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37b0828f",
+   "metadata": {},
+   "source": [
+    "#### 44. Consider a random 10x2 matrix representing cartesian coordinates, convert them to polar coordinates (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a89969af",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b7d7dd80",
+   "metadata": {},
+   "source": [
+    "#### 45. Create random vector of size 10 and replace the maximum value by 0 (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8403a440",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b47e5837",
+   "metadata": {},
+   "source": [
+    "#### 46. Create a structured array with `x` and `y` coordinates covering the [0,1]x[0,1] area (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "42c72e94",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8c7946ee",
+   "metadata": {},
+   "source": [
+    "#### 47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj)) (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "26b93f06",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3e898e5f",
+   "metadata": {},
+   "source": [
+    "#### 48. Print the minimum and maximum representable value for each numpy scalar type (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "afd1ae18",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fe6133b",
+   "metadata": {},
+   "source": [
+    "#### 49. How to print all the values of an array? (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5764ec92",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ee2dacc",
+   "metadata": {},
+   "source": [
+    "#### 50. How to find the closest value (to a given scalar) in a vector? (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "742518ef",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cfeda6ba",
+   "metadata": {},
+   "source": [
+    "#### 51. Create a structured array representing a position (x,y) and a color (r,g,b) (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9fcbd031",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b97e75b5",
+   "metadata": {},
+   "source": [
+    "#### 52. Consider a random vector with shape (100,2) representing coordinates, find point by point distances (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c58a45b6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "291e0bb9",
+   "metadata": {},
+   "source": [
+    "#### 53. How to convert a float (32 bits) array into an integer (32 bits) in place?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2f3e6c00",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e305e92",
+   "metadata": {},
+   "source": [
+    "#### 54. How to read the following file? (★★☆)\n",
+    "```\n",
+    "1, 2, 3, 4, 5\n",
+    "6,  ,  , 7, 8\n",
+    " ,  , 9,10,11\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "753024cb",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "94a8ad69",
+   "metadata": {},
+   "source": [
+    "#### 55. What is the equivalent of enumerate for numpy arrays? (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ae45249f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "72b340c9",
+   "metadata": {},
+   "source": [
+    "#### 56. Generate a generic 2D Gaussian-like array (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a80e5c9b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "86550d61",
+   "metadata": {},
+   "source": [
+    "#### 57. How to randomly place p elements in a 2D array? (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "db9f2582",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "153f8cfa",
+   "metadata": {},
+   "source": [
+    "#### 58. Subtract the mean of each row of a matrix (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8301cb12",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f4038090",
+   "metadata": {},
+   "source": [
+    "#### 59. How to sort an array by the nth column? (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eb5745df",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "20d2a462",
+   "metadata": {},
+   "source": [
+    "#### 60. How to tell if a given 2D array has null columns? (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b92b7316",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bb2aa49b",
+   "metadata": {},
+   "source": [
+    "#### 61. Find the nearest value from a given value in an array (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8b62e59c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1a950e1a",
+   "metadata": {},
+   "source": [
+    "#### 62. Considering two arrays with shape (1,3) and (3,1), how to compute their sum using an iterator? (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cad1d01b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "165b3a20",
+   "metadata": {},
+   "source": [
+    "#### 63. Create an array class that has a name attribute (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "666bf983",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87f85b12",
+   "metadata": {},
+   "source": [
+    "#### 64. Consider a given vector, how to add 1 to each element indexed by a second vector (be careful with repeated indices)? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "03ee4c88",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1cda27c4",
+   "metadata": {},
+   "source": [
+    "#### 65. How to accumulate elements of a vector (X) to an array (F) based on an index list (I)? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aee2c782",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1db205db",
+   "metadata": {},
+   "source": [
+    "#### 66. Considering a (w,h,3) image of (dtype=ubyte), compute the number of unique colors (★★☆)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "43204f35",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ebaf1222",
+   "metadata": {},
+   "source": [
+    "#### 67. Considering a four dimensions array, how to get sum over the last two axis at once? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aabbbab9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2dfb4033",
+   "metadata": {},
+   "source": [
+    "#### 68. Considering a one-dimensional vector D, how to compute means of subsets of D using a vector S of same size describing subset  indices? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7a9c2287",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7035c626",
+   "metadata": {},
+   "source": [
+    "#### 69. How to get the diagonal of a dot product? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f6af16c1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f73f0e5",
+   "metadata": {},
+   "source": [
+    "#### 70. Consider the vector [1, 2, 3, 4, 5], how to build a new vector with 3 consecutive zeros interleaved between each value? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b0cabc11",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bafaa79e",
+   "metadata": {},
+   "source": [
+    "#### 71. Consider an array of dimension (5,5,3), how to mulitply it by an array with dimensions (5,5)? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d441e30b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "80a9ac82",
+   "metadata": {},
+   "source": [
+    "#### 72. How to swap two rows of an array? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1aee2791",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e53d68c",
+   "metadata": {},
+   "source": [
+    "#### 73. Consider a set of 10 triplets describing 10 triangles (with shared vertices), find the set of unique line segments composing all the  triangles (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2f975322",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f85da603",
+   "metadata": {},
+   "source": [
+    "#### 74. Given a sorted array C that corresponds to a bincount, how to produce an array A such that np.bincount(A) == C? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8c476a73",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a2330e6c",
+   "metadata": {},
+   "source": [
+    "#### 75. How to compute averages using a sliding window over an array? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "35e5e9f5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87698de8",
+   "metadata": {},
+   "source": [
+    "#### 76. Consider a one-dimensional array Z, build a two-dimensional array whose first row is (Z[0],Z[1],Z[2]) and each subsequent row is  shifted by 1 (last row should be (Z[-3],Z[-2],Z[-1]) (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "753763ed",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b8417b15",
+   "metadata": {},
+   "source": [
+    "#### 77. How to negate a boolean, or to change the sign of a float inplace? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3cad31b2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37a49831",
+   "metadata": {},
+   "source": [
+    "#### 78. Consider 2 sets of points P0,P1 describing lines (2d) and a point p, how to compute distance from p to each line i (P0[i],P1[i])? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "df95dce8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f5ae032f",
+   "metadata": {},
+   "source": [
+    "#### 79. Consider 2 sets of points P0,P1 describing lines (2d) and a set of points P, how to compute distance from each point j (P[j]) to each line i (P0[i],P1[i])? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f5ae2e9b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6bc35ba2",
+   "metadata": {},
+   "source": [
+    "#### 80. Consider an arbitrary array, write a function that extract a subpart with a fixed shape and centered on a given element (pad with a `fill` value when necessary) (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2ad8db75",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d17818f7",
+   "metadata": {},
+   "source": [
+    "#### 81. Consider an array Z = [1,2,3,4,5,6,7,8,9,10,11,12,13,14], how to generate an array R = [[1,2,3,4], [2,3,4,5], [3,4,5,6], ..., [11,12,13,14]]? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "97deb72f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "67f526e6",
+   "metadata": {},
+   "source": [
+    "#### 82. Compute a matrix rank (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d70bed5b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0a3fb55f",
+   "metadata": {},
+   "source": [
+    "#### 83. How to find the most frequent value in an array?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b0647d07",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cb0ac341",
+   "metadata": {},
+   "source": [
+    "#### 84. Extract all the contiguous 3x3 blocks from a random 10x10 matrix (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "91798923",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c2a9da0d",
+   "metadata": {},
+   "source": [
+    "#### 85. Create a 2D array subclass such that Z[i,j] == Z[j,i] (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f9b027ff",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "718ac868",
+   "metadata": {},
+   "source": [
+    "#### 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)) (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4de05217",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a6eda6f8",
+   "metadata": {},
+   "source": [
+    "#### 87. Consider a 16x16 array, how to get the block-sum (block size is 4x4)? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "286b8db5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "625aa611",
+   "metadata": {},
+   "source": [
+    "#### 88. How to implement the Game of Life using numpy arrays? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a01c1ff2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ca3dde4a",
+   "metadata": {},
+   "source": [
+    "#### 89. How to get the n largest values of an array (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d14148c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e233805e",
+   "metadata": {},
+   "source": [
+    "#### 90. Given an arbitrary number of vectors, build the cartesian product (every combinations of every item) (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "17638e13",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c163f115",
+   "metadata": {},
+   "source": [
+    "#### 91. How to create a record array from a regular array? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "da402514",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "049c006e",
+   "metadata": {},
+   "source": [
+    "#### 92. Consider a large vector Z, compute Z to the power of 3 using 3 different methods (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "96ce278a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6e652635",
+   "metadata": {},
+   "source": [
+    "#### 93. Consider two arrays A and B of shape (8,3) and (2,2). How to find rows of A that contain elements of each row of B regardless of the order of the elements in B? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f429d6d4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "33c4755d",
+   "metadata": {},
+   "source": [
+    "#### 94. Considering a 10x3 matrix, extract rows with unequal values (e.g. [2,2,3]) (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29507586",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c9fe158d",
+   "metadata": {},
+   "source": [
+    "#### 95. Convert a vector of ints into a matrix binary representation (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "58209fb7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f60086c9",
+   "metadata": {},
+   "source": [
+    "#### 96. Given a two dimensional array, how to extract unique rows? (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "787b6e4c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f5e1299",
+   "metadata": {},
+   "source": [
+    "#### 97. Considering 2 vectors A & B, write the einsum equivalent of inner, outer, sum, and mul function (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cd2a8214",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a04dd898",
+   "metadata": {},
+   "source": [
+    "#### 98. Considering a path described by two vectors (X,Y), how to sample it using equidistant samples (★★★)?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12d9c30f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b45bf2ae",
+   "metadata": {},
+   "source": [
+    "#### 99. Given an integer n and a 2D array X, select from X the rows which can be interpreted as draws from a multinomial distribution with n degrees, i.e., the rows which only contain integers and which sum to n. (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f4179f4a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d92b6592",
+   "metadata": {},
+   "source": [
+    "#### 100. Compute bootstrapped 95% confidence intervals for the mean of a 1D array X (i.e., resample the elements of an array with replacement N times, compute the mean of each sample, and then compute percentiles over the means). (★★★)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "256ebe30",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
-- 
GitLab