chapter2-exercise change

the first 3 exercises are moved to chapter 5

Author: tshiya731

book/flow/Exercises/01.ipynb

@@ -44,224 +44,6 @@
     "#questions = [[q] for q in questions]"
    ]
   },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "su7ODKnqB7tv",
-    "nbgrader": {
-     "grade": false,
-     "locked": true,
-     "solution": false
-    }
-   },
-   "source": [
-    "## Exercise 2.1.1\n",
-    "\n",
-    "In the code cell bellow you can see a function that finds the greatest common divisor of any two numbers using the <code>math</code> module. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "collapsed": true,
-    "id": "YjB37kkNGsr9",
-    "outputId": "36e77aac-9e26-4c63-fbf5-e030e5539ab1"
-   },
-   "outputs": [],
-   "source": [
-    "import math\n",
-    "\n",
-    "def find_greatest_common_divisor(a, b):\n",
-    "    greatest_common_divisor = math.gcds(a, b)\n",
-    "    return greatest_common_divisor\n",
-    "\n",
-    "print('The greatest common divisor is:', find_greatest_common_divisor(2, 4))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<iframe src=\"https://tudelft.h5p.com/content/1292447931155380807/embed\" aria-label=\"Exercise 2.1.1\" width=\"1088\" height=\"637\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" allow=\"autoplay *; geolocation *; microphone *; camera *; midi *; encrypted-media *\"></iframe><script src=\"https://tudelft.h5p.com/js/h5p-resizer.js\" charset=\"UTF-8\"></script>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": [
-     "remove-input"
-    ]
-   },
-   "outputs": [],
-   "source": [
-    "# jupyterquiz-exercise-2-1-1\n",
-    "#display_quiz(questions[0])"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "aaxayx2RH9IM",
-    "nbgrader": {
-     "grade": false,
-     "locked": true,
-     "solution": false
-    }
-   },
-   "source": [
-    "## (Searching) Exercise 2.1.2\n",
-    "\n",
-    "We can only take and store measurements at a limited number of locations and/or times. But what if we are interested in a value in between, i.e., at a location/time where we do not have a measurement? Then we can use interpolation to estimate that value. A popular, and simple, interpolation technique is <a href=\"https://en.wikipedia.org/wiki/Linear_interpolation\">linear interpolation</a>. \n",
-    "Your task is to use the module <code>scipy</code> to perform a 1D linear interpolation between a set of known points, where <code>x_known</code> and <code>y_known</code> are arrays with the measured $x$ and $y$ values. Use Google to look up the 1D interpolation function in <code>scipy</code>.<br><br>In the code below there is something missing after `return` (look the three dots). What should be the correct missing code for the function to give us the desired result?"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true,
-    "id": "ZazhpxxTIzxE"
-   },
-   "outputs": [],
-   "source": [
-    "from scipy import interpolate\n",
-    "\n",
-    "def interpolate_inbetween(x_known, y_known, x_predict):\n",
-    "    f = interpolate.interp1d(x_known, y_known)\n",
-    "    return ...\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<iframe src=\"https://tudelft.h5p.com/content/1292447937376291357/embed\" aria-label=\"Exercise 2.1.2\" width=\"1088\" height=\"637\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" allow=\"autoplay *; geolocation *; microphone *; camera *; midi *; encrypted-media *\"></iframe><script src=\"https://tudelft.h5p.com/js/h5p-resizer.js\" charset=\"UTF-8\"></script>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": [
-     "remove-input"
-    ]
-   },
-   "outputs": [],
-   "source": [
-    "# jupyterquiz-exercise-2-1-2\n",
-    "#display_quiz(questions[1])"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "Ue4CKV8PKnBG",
-    "nbgrader": {
-     "grade": false,
-     "locked": true,
-     "solution": false
-    }
-   },
-   "source": [
-    "## (Searching) Exercise 2.1.3\n",
-    "\n",
-    "Now, let's try to measure the running time of a function, for that we will need the <code>time</code> module. Use it to measure the working time of the <code>cool_function()</code> below."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true,
-    "id": "C1aOizjOK7sl",
-    "nbgrader": {
-     "grade": false,
-     "locked": true,
-     "solution": false
-    }
-   },
-   "outputs": [],
-   "source": [
-    "# you do not need to change anything in this cell\n",
-    "def cool_function():\n",
-    "    x = 0\n",
-    "    for i in range(100000000):\n",
-    "        x += 1\n"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Which of the following functions will give us the working time of the <code>cool_function()</code>?"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "<div style=\"padding: 10px; border: 1px solid gray;\">\n",
-    "\n",
-    "* **Option A**\n",
-    "```python\n",
-    "def measure_time(func):\n",
-    "    t0 = time.time()\n",
-    "    t1 = time.time()\n",
-    "    return t1 - t0\n",
-    "```\n",
-    "\n",
-    "* **Option B**\n",
-    "```python\n",
-    "def measure_time(func):\n",
-    "    t0 = time.time()\n",
-    "    func()\n",
-    "    t1 = time.time()\n",
-    "    return t1 - t0\n",
-    "```\n",
-    "* **Option C**\n",
-    "```python\n",
-    "def measure_time(func,t0,t1):\n",
-    "    t0 = time.time()\n",
-    "    func()\n",
-    "    t1 = time.time()\n",
-    "    return func\n",
-    "```\n",
-    "\n",
-    "</div>\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<iframe src=\"https://tudelft.h5p.com/content/1292447953779786487/embed\" aria-label=\"Exercise 2.1.3(needrevision)\" width=\"1088\" height=\"637\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" allow=\"autoplay *; geolocation *; microphone *; camera *; midi *; encrypted-media *\"></iframe><script src=\"https://tudelft.h5p.com/js/h5p-resizer.js\" charset=\"UTF-8\"></script>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": [
-     "remove-input"
-    ]
-   },
-   "outputs": [],
-   "source": [
-    "# jupyterquiz-exercise-2-1-3\n",
-    "#display_quiz(questions[2])"
-   ]
-  },
   {
    "attachments": {},
    "cell_type": "markdown",