diff --git a/your-code/comprehension_completed.ipynb b/your-code/comprehension_completed.ipynb
new file mode 100644
index 0000000..d3fd3b3
--- /dev/null
+++ b/your-code/comprehension_completed.ipynb
@@ -0,0 +1,633 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "l7AvVoWqk1ib"
+      },
+      "source": [
+        "# List Comprehensions\n",
+        "\n",
+        "Complete the following set of exercises to solidify your knowledge of list comprehensions."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "SngrkTaRk1id"
+      },
+      "outputs": [],
+      "source": [
+        "import os;"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "WlyrQB6ok1ie"
+      },
+      "source": [
+        "#### 1. Use a list comprehension to create and print a list of consecutive integers starting with 1 and ending with 50."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "cFVJWr5bk1ie",
+        "outputId": "b05aa233-238a-4436-fda8-a45279906e02"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[1,\n",
+              " 2,\n",
+              " 3,\n",
+              " 4,\n",
+              " 5,\n",
+              " 6,\n",
+              " 7,\n",
+              " 8,\n",
+              " 9,\n",
+              " 10,\n",
+              " 11,\n",
+              " 12,\n",
+              " 13,\n",
+              " 14,\n",
+              " 15,\n",
+              " 16,\n",
+              " 17,\n",
+              " 18,\n",
+              " 19,\n",
+              " 20,\n",
+              " 21,\n",
+              " 22,\n",
+              " 23,\n",
+              " 24,\n",
+              " 25,\n",
+              " 26,\n",
+              " 27,\n",
+              " 28,\n",
+              " 29,\n",
+              " 30,\n",
+              " 31,\n",
+              " 32,\n",
+              " 33,\n",
+              " 34,\n",
+              " 35,\n",
+              " 36,\n",
+              " 37,\n",
+              " 38,\n",
+              " 39,\n",
+              " 40,\n",
+              " 41,\n",
+              " 42,\n",
+              " 43,\n",
+              " 44,\n",
+              " 45,\n",
+              " 46,\n",
+              " 47,\n",
+              " 48,\n",
+              " 49,\n",
+              " 50]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 2
+        }
+      ],
+      "source": [
+        "consecutive_integrers = [x for x in range(1,51)]\n",
+        "\n",
+        "consecutive_integrers"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "1lGLECPNk1ie"
+      },
+      "source": [
+        "#### 2. Use a list comprehension to create and print a list of even numbers starting with 2 and ending with 200."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "SqCLuBBEk1ie",
+        "outputId": "ea3ed4c1-6d7d-4ee1-fd92-8cbdabbc45b6"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196, 198, 200]\n"
+          ]
+        }
+      ],
+      "source": [
+        "even_numbers = [i for i in range(2, 201) if i %2 == 0]\n",
+        "\n",
+        "print(even_numbers)\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "Sdikepxck1ie"
+      },
+      "source": [
+        "#### 3. Use a list comprehension to create and print a list containing all elements of the 10 x 4 array below."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "O1X0BDQJk1if"
+      },
+      "outputs": [],
+      "source": [
+        "a = [[0.84062117, 0.48006452, 0.7876326 , 0.77109654],\n",
+        "       [0.44409793, 0.09014516, 0.81835917, 0.87645456],\n",
+        "       [0.7066597 , 0.09610873, 0.41247947, 0.57433389],\n",
+        "       [0.29960807, 0.42315023, 0.34452557, 0.4751035 ],\n",
+        "       [0.17003563, 0.46843998, 0.92796258, 0.69814654],\n",
+        "       [0.41290051, 0.19561071, 0.16284783, 0.97016248],\n",
+        "       [0.71725408, 0.87702738, 0.31244595, 0.76615487],\n",
+        "       [0.20754036, 0.57871812, 0.07214068, 0.40356048],\n",
+        "       [0.12149553, 0.53222417, 0.9976855 , 0.12536346],\n",
+        "       [0.80930099, 0.50962849, 0.94555126, 0.33364763]];"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "5Yg1en3Qk1if",
+        "outputId": "8636e937-791d-4eab-9f13-097ee092d04f"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[0.84062117,\n",
+              " 0.48006452,\n",
+              " 0.7876326,\n",
+              " 0.77109654,\n",
+              " 0.44409793,\n",
+              " 0.09014516,\n",
+              " 0.81835917,\n",
+              " 0.87645456,\n",
+              " 0.7066597,\n",
+              " 0.09610873,\n",
+              " 0.41247947,\n",
+              " 0.57433389,\n",
+              " 0.29960807,\n",
+              " 0.42315023,\n",
+              " 0.34452557,\n",
+              " 0.4751035,\n",
+              " 0.17003563,\n",
+              " 0.46843998,\n",
+              " 0.92796258,\n",
+              " 0.69814654,\n",
+              " 0.41290051,\n",
+              " 0.19561071,\n",
+              " 0.16284783,\n",
+              " 0.97016248,\n",
+              " 0.71725408,\n",
+              " 0.87702738,\n",
+              " 0.31244595,\n",
+              " 0.76615487,\n",
+              " 0.20754036,\n",
+              " 0.57871812,\n",
+              " 0.07214068,\n",
+              " 0.40356048,\n",
+              " 0.12149553,\n",
+              " 0.53222417,\n",
+              " 0.9976855,\n",
+              " 0.12536346,\n",
+              " 0.80930099,\n",
+              " 0.50962849,\n",
+              " 0.94555126,\n",
+              " 0.33364763]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 16
+        }
+      ],
+      "source": [
+        "a = [[0.84062117, 0.48006452, 0.7876326 , 0.77109654],\n",
+        "       [0.44409793, 0.09014516, 0.81835917, 0.87645456],\n",
+        "       [0.7066597 , 0.09610873, 0.41247947, 0.57433389],\n",
+        "       [0.29960807, 0.42315023, 0.34452557, 0.4751035 ],\n",
+        "       [0.17003563, 0.46843998, 0.92796258, 0.69814654],\n",
+        "       [0.41290051, 0.19561071, 0.16284783, 0.97016248],\n",
+        "       [0.71725408, 0.87702738, 0.31244595, 0.76615487],\n",
+        "       [0.20754036, 0.57871812, 0.07214068, 0.40356048],\n",
+        "       [0.12149553, 0.53222417, 0.9976855 , 0.12536346],\n",
+        "       [0.80930099, 0.50962849, 0.94555126, 0.33364763]];\n",
+        "\n",
+        "\n",
+        "\n",
+        "\n",
+        "l = [x for i in a for x in i]\n",
+        "\n",
+        "l"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "cPwYEpLFk1if"
+      },
+      "source": [
+        "#### 4. Add a condition to the list comprehension above so that only values greater than or equal to 0.5 are printed."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 24,
+      "metadata": {
+        "id": "jVznEEeak1ig",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 0
+        },
+        "outputId": "040ae0fd-0080-42ac-87ad-9b97b5784903"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[0.84062117,\n",
+              " 0.7876326,\n",
+              " 0.77109654,\n",
+              " 0.81835917,\n",
+              " 0.87645456,\n",
+              " 0.7066597,\n",
+              " 0.57433389,\n",
+              " 0.92796258,\n",
+              " 0.69814654,\n",
+              " 0.97016248,\n",
+              " 0.71725408,\n",
+              " 0.87702738,\n",
+              " 0.76615487,\n",
+              " 0.57871812,\n",
+              " 0.53222417,\n",
+              " 0.9976855,\n",
+              " 0.80930099,\n",
+              " 0.50962849,\n",
+              " 0.94555126]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 24
+        }
+      ],
+      "source": [
+        "a = [[0.84062117, 0.48006452, 0.7876326 , 0.77109654],\n",
+        "       [0.44409793, 0.09014516, 0.81835917, 0.87645456],\n",
+        "       [0.7066597 , 0.09610873, 0.41247947, 0.57433389],\n",
+        "       [0.29960807, 0.42315023, 0.34452557, 0.4751035 ],\n",
+        "       [0.17003563, 0.46843998, 0.92796258, 0.69814654],\n",
+        "       [0.41290051, 0.19561071, 0.16284783, 0.97016248],\n",
+        "       [0.71725408, 0.87702738, 0.31244595, 0.76615487],\n",
+        "       [0.20754036, 0.57871812, 0.07214068, 0.40356048],\n",
+        "       [0.12149553, 0.53222417, 0.9976855 , 0.12536346],\n",
+        "       [0.80930099, 0.50962849, 0.94555126, 0.33364763]];\n",
+        "\n",
+        "\n",
+        "l = []\n",
+        "\n",
+        "#for row in a:\n",
+        " #   for element in row:\n",
+        "  #    if element >= 0.5:\n",
+        "   #     l.append(element)\n",
+        "\n",
+        "l = [element for row in a for element in row if element >= 0.5]\n",
+        "\n",
+        "l"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "bJ9HeKEPk1ig"
+      },
+      "source": [
+        "#### 5. Use a list comprehension to create and print a list containing all elements of the 5 x 2 x 3 array below."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "QUO5gS5lk1ig"
+      },
+      "outputs": [],
+      "source": [
+        "b = [[[0.55867166, 0.06210792, 0.08147297],\n",
+        "        [0.82579068, 0.91512478, 0.06833034]],\n",
+        "\n",
+        "       [[0.05440634, 0.65857693, 0.30296619],\n",
+        "        [0.06769833, 0.96031863, 0.51293743]],\n",
+        "\n",
+        "       [[0.09143215, 0.71893382, 0.45850679],\n",
+        "        [0.58256464, 0.59005654, 0.56266457]],\n",
+        "\n",
+        "       [[0.71600294, 0.87392666, 0.11434044],\n",
+        "        [0.8694668 , 0.65669313, 0.10708681]],\n",
+        "\n",
+        "       [[0.07529684, 0.46470767, 0.47984544],\n",
+        "        [0.65368638, 0.14901286, 0.23760688]]];"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 38,
+      "metadata": {
+        "id": "tqYt-G8Ok1ig",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 0
+        },
+        "outputId": "58a61f49-f977-4317-ce70-ef87c71e18fe"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[0.55867166,\n",
+              " 0.06210792,\n",
+              " 0.08147297,\n",
+              " 0.82579068,\n",
+              " 0.91512478,\n",
+              " 0.06833034,\n",
+              " 0.05440634,\n",
+              " 0.65857693,\n",
+              " 0.30296619,\n",
+              " 0.06769833,\n",
+              " 0.96031863,\n",
+              " 0.51293743,\n",
+              " 0.09143215,\n",
+              " 0.71893382,\n",
+              " 0.45850679,\n",
+              " 0.58256464,\n",
+              " 0.59005654,\n",
+              " 0.56266457,\n",
+              " 0.71600294,\n",
+              " 0.87392666,\n",
+              " 0.11434044,\n",
+              " 0.8694668,\n",
+              " 0.65669313,\n",
+              " 0.10708681,\n",
+              " 0.07529684,\n",
+              " 0.46470767,\n",
+              " 0.47984544,\n",
+              " 0.65368638,\n",
+              " 0.14901286,\n",
+              " 0.23760688]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 38
+        }
+      ],
+      "source": [
+        "b = [[[0.55867166, 0.06210792, 0.08147297],\n",
+        "        [0.82579068, 0.91512478, 0.06833034]],\n",
+        "\n",
+        "       [[0.05440634, 0.65857693, 0.30296619],\n",
+        "        [0.06769833, 0.96031863, 0.51293743]],\n",
+        "\n",
+        "       [[0.09143215, 0.71893382, 0.45850679],\n",
+        "        [0.58256464, 0.59005654, 0.56266457]],\n",
+        "\n",
+        "       [[0.71600294, 0.87392666, 0.11434044],\n",
+        "        [0.8694668 , 0.65669313, 0.10708681]],\n",
+        "\n",
+        "       [[0.07529684, 0.46470767, 0.47984544],\n",
+        "        [0.65368638, 0.14901286, 0.23760688]]];\n",
+        "\n",
+        "#z = []\n",
+        "\n",
+        "#for xy in b:\n",
+        "   # for ma in xy:\n",
+        "  #    for fo in ma:\n",
+        " #      z.append(fo)\n",
+        "\n",
+        "z = [fo for xy in b for ma in xy for fo in ma]\n",
+        "\n",
+        "z"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ibxgCwi4k1ig"
+      },
+      "source": [
+        "#### 6. Add a condition to the list comprehension above so that the last value in each subarray is printed, but only if it is less than or equal to 0.5."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 43,
+      "metadata": {
+        "id": "xrm4CHofk1ih",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 0
+        },
+        "outputId": "5532b011-1679-469f-c3b4-22d715cefde3"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[0.06210792,\n",
+              " 0.08147297,\n",
+              " 0.06833034,\n",
+              " 0.05440634,\n",
+              " 0.30296619,\n",
+              " 0.06769833,\n",
+              " 0.09143215,\n",
+              " 0.45850679,\n",
+              " 0.11434044,\n",
+              " 0.10708681,\n",
+              " 0.07529684,\n",
+              " 0.46470767,\n",
+              " 0.47984544,\n",
+              " 0.14901286,\n",
+              " 0.23760688]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 43
+        }
+      ],
+      "source": [
+        "b = [[[0.55867166, 0.06210792, 0.08147297],\n",
+        "        [0.82579068, 0.91512478, 0.06833034]],\n",
+        "\n",
+        "       [[0.05440634, 0.65857693, 0.30296619],\n",
+        "        [0.06769833, 0.96031863, 0.51293743]],\n",
+        "\n",
+        "       [[0.09143215, 0.71893382, 0.45850679],\n",
+        "        [0.58256464, 0.59005654, 0.56266457]],\n",
+        "\n",
+        "       [[0.71600294, 0.87392666, 0.11434044],\n",
+        "        [0.8694668 , 0.65669313, 0.10708681]],\n",
+        "\n",
+        "       [[0.07529684, 0.46470767, 0.47984544],\n",
+        "        [0.65368638, 0.14901286, 0.23760688]]];\n",
+        "\n",
+        "#z = []\n",
+        "\n",
+        "#for xy in b:\n",
+        "    #for ma in xy:\n",
+        "   #   for fo in ma:\n",
+        "  #      if fo <= 0.5:\n",
+        " #         z.append(fo)\n",
+        "\n",
+        "z = [fo for xy in b for ma in xy for fo in ma if fo <=0.5]\n",
+        "\n",
+        "z\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "KYkJlD9Dk1ih"
+      },
+      "source": [
+        "#### 7. Use a list comprehension to select and print the names of all CSV files in the */data* directory. Mind slashes."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 45,
+      "metadata": {
+        "id": "F81Blatnk1ih",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 279
+        },
+        "outputId": "69cdea41-0d93-4c13-f2e4-2aeb9d861954"
+      },
+      "outputs": [
+        {
+          "output_type": "error",
+          "ename": "FileNotFoundError",
+          "evalue": "ignored",
+          "traceback": [
+            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+            "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
+            "\u001b[0;32m<ipython-input-45-1b0137099a81>\u001b[0m in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlistdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"D:/usuarios/marco ayora/Desktop/IronHack/lab-control-flow/lab-list-comprehension/data\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mx2\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'D:/usuarios/marco ayora/Desktop/IronHack/lab-control-flow/lab-list-comprehension/data'"
+          ]
+        }
+      ],
+      "source": [
+        "import os\n",
+        "\n",
+        "x = os.listdir(\"D:/usuarios/marco ayora/Desktop/IronHack/lab-control-flow/lab-list-comprehension/data\")\n",
+        "\n",
+        "x2 =[]\n",
+        "\n",
+        "for i in extract:\n",
+        "  if i[-3] == \"csv\":\n",
+        "    x2.append(i)\n",
+        "\n",
+        "x3 = [i for i in extract if i [-3:] == \"csv\"]\n",
+        "\n",
+        "extract3\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "lBP84WNmk1ih"
+      },
+      "source": [
+        "### Bonus"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "S4tdEou8k1ih"
+      },
+      "source": [
+        "Try to solve these katas using list comprehensions."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "sGzr_zGGk1ih"
+      },
+      "source": [
+        "**Easy**\n",
+        "- [Insert values](https://www.codewars.com/kata/invert-values)\n",
+        "- [Sum Square(n)](https://www.codewars.com/kata/square-n-sum)\n",
+        "- [Digitize](https://www.codewars.com/kata/digitize)\n",
+        "- [List filtering](https://www.codewars.com/kata/list-filtering)\n",
+        "- [Arithmetic list](https://www.codewars.com/kata/541da001259d9ca85d000688)\n",
+        "\n",
+        "**Medium**\n",
+        "- [Multiples of 3 or 5](https://www.codewars.com/kata/514b92a657cdc65150000006)\n",
+        "- [Count of positives / sum of negatives](https://www.codewars.com/kata/count-of-positives-slash-sum-of-negatives)\n",
+        "- [Categorize new member](https://www.codewars.com/kata/5502c9e7b3216ec63c0001aa)\n",
+        "\n",
+        "**Advanced**\n",
+        "- [Queue time counter](https://www.codewars.com/kata/queue-time-counter)"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.7.2"
+    },
+    "colab": {
+      "provenance": []
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file