awarischool · armandocesar · Oct 8, 2020 · Oct 8, 2020 · Oct 8, 2020 · Oct 9, 2020
diff --git a/Desafio_01.ipynb b/Desafio_01.ipynb
@@ -34,14 +34,13 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/WittmannF/br-data-science/blob/master/python/challenges/Desafio_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/armandocesar/br-python-challenges/blob/master/Desafio_01.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "SbLLE9q1eldC",
-        "colab_type": "text"
+        "id": "SbLLE9q1eldC"
       },
       "source": [
         "### Desafio 1\n",
@@ -53,8 +52,11 @@
       "cell_type": "code",
       "metadata": {
         "id": "WhtbdwFseldD",
-        "colab_type": "code",
-        "colab": {}
+        "outputId": "d2820d87-d682-4199-a6e2-b0140be0005a",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        }
       },
       "source": [
         "palavras = [\n",
@@ -65,23 +67,37 @@
         "]\n",
         "\n",
         "\n",
-        "# Seu código"
+        "# Seu código\n",
+        "word_count={}\n",
+        "for word in palavras:\n",
+        "  if word in word_count:\n",
+        "    word_count[word] += 1\n",
+        "  else:\n",
+        "    word_count[word] = 1\n",
+        "\n",
+        "print(word_count)"
       ],
-      "execution_count": 0,
-      "outputs": []
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "{'red': 4, 'green': 4, 'black': 5, 'pink': 6, 'white': 5, 'eyes': 1, 'orange': 4}\n"
+          ],
+          "name": "stdout"
+        }
+      ]
     },
     {
       "cell_type": "code",
       "metadata": {
-        "id": "M58o1U9KfAxa",
-        "colab_type": "code",
-        "colab": {}
+        "id": "M58o1U9KfAxa"
       },
       "source": [
         ""
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     }
   ]
-}
+}
diff --git a/Desafio_02.ipynb b/Desafio_02.ipynb
@@ -34,14 +34,13 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/WittmannF/br-data-science/blob/master/python/challenges/Desafio_2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/armandocesar/br-python-challenges/blob/master/Desafio_02.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "q1NCks7Af6JN",
-        "colab_type": "text"
+        "id": "q1NCks7Af6JN"
       },
       "source": [
         "### Desafio 2\n",
@@ -60,16 +59,60 @@
     {
       "cell_type": "code",
       "metadata": {
-        "id": "sSm6F7sff6JO",
-        "colab_type": "code",
-        "colab": {}
+        "id": "sSm6F7sff6JO"
+      },
+      "source": [
+        "def convert_to_sec(number):\n",
+        "  \n",
+        "  pass\n",
+        "   # Seu código"
+      ],
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "yvo7NBwwWwMJ",
+        "outputId": "87b6cdc9-e934-4c63-8394-716b6b27dfda",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 68
+        }
       },
       "source": [
         "def convert_to_sec(number):\n",
-        "    pass # Seu código"
+        "  s=number*3600\n",
+        "  print(s)\n",
+        "  pass\n",
+        "\n",
+        "convert_to_sec(5)\n",
+        "convert_to_sec(3)\n",
+        "convert_to_sec(2)"
+      ],
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "18000\n",
+            "10800\n",
+            "7200\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "2FIkrFDGWo25"
+      },
+      "source": [
+        ""
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     }
   ]
-}
+}
diff --git a/Desafio_03.ipynb b/Desafio_03.ipynb
@@ -34,14 +34,13 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/WittmannF/br-data-science/blob/master/python/challenges/Desafio_3.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/armandocesar/br-python-challenges/blob/master/Desafio_03.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "9apVxxygf6JR",
-        "colab_type": "text"
+        "id": "9apVxxygf6JR"
       },
       "source": [
         "### Desafio 3\n",
@@ -53,29 +52,47 @@
       "cell_type": "code",
       "metadata": {
         "id": "ndTkQEUBf6JS",
-        "colab_type": "code",
-        "colab": {}
+        "outputId": "025bfeb3-4a92-494c-c898-8f9056ba9c15",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        }
       },
       "source": [
         "lista = [1,2,3,4,3,30,3,4,5,6,9,3,2,1,2,4,5,15,6,6,3,13,4,45,5]\n",
         "\n",
-        "# Seu código"
+        "# Seu código\n",
+        "\n",
+        "unicos = list(set(lista))\n",
+        "unicos.sort()\n",
+        "unicos"
       ],
-      "execution_count": 0,
-      "outputs": []
+      "execution_count": 69,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[1, 2, 3, 4, 5, 6, 9, 13, 15, 30, 45]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 69
+        }
+      ]
     },
     {
       "cell_type": "code",
       "metadata": {
-        "id": "wo2rA-NriFtO",
-        "colab_type": "code",
-        "colab": {}
+        "id": "wo2rA-NriFtO"
       },
       "source": [
         ""
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     }
   ]
-}
+}
diff --git a/Desafio_04.ipynb b/Desafio_04.ipynb
@@ -34,14 +34,13 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/WittmannF/br-data-science/blob/master/python/challenges/Desafio_4.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/armandocesar/br-python-challenges/blob/master/Desafio_04.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "dOqcKUYZf6JW",
-        "colab_type": "text"
+        "id": "dOqcKUYZf6JW"
       },
       "source": [
         "### Desafio 4\n",
@@ -56,28 +55,52 @@
     {
       "cell_type": "code",
       "metadata": {
-        "id": "I5TInJDaf6JW",
-        "colab_type": "code",
-        "colab": {}
+        "id": "I5TInJDaf6JW"
       },
       "source": [
-        "# Seu código"
+        "# Seu códig\n",
+        "def inverte_texto(texto):  \n",
+        "  lista = texto.split()\n",
+        "  invertido = lista[::-1]\n",
+        "  print(invertido)"
       ],
-      "execution_count": 0,
+      "execution_count": 28,
       "outputs": []
     },
     {
       "cell_type": "code",
       "metadata": {
         "id": "6gq9SLl1xSV1",
-        "colab_type": "code",
-        "colab": {}
+        "outputId": "664b2b58-73d6-4589-aaff-40f961d4ddcb",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        }
+      },
+      "source": [
+        "inverte_texto(\"Python é legal\")"
+      ],
+      "execution_count": 31,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "['legal', 'é', 'Python']\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "4wEa82cIsEmF"
       },
       "source": [
         ""
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     }
   ]
-}
+}