Criado usando o Colaboratory

Author: luasampaio

lambda.ipynb

@@ -0,0 +1,162 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "authorship_tag": "ABX9TyPaubeDU018lLarUahRpkgN",
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/luasampaio/Python/blob/master/lambda.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Instala o pacote watermark. Utilizado para obter informações sobre as versões de outros pacotes utilizados neste Jupyter Notebook.\n",
+        "# https://pypi.org/project/watermark/\n",
+        "%pip install -q watermark"
+      ],
+      "metadata": {
+        "id": "SLAVbFz_609s"
+      },
+      "execution_count": 1,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Carrega o pacote watermark como um comando mágico no Jupyter Notebook.\n",
+        "%load_ext watermark"
+      ],
+      "metadata": {
+        "id": "FcpS556p7BpH"
+      },
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Versão do Python e de todos os pacotes importados neste projeto.\n",
+        "%watermark -a \"Luciana Sampaio\" -gu \"luasampaio\" --python --iversions --watermark"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "MzOfA6--7F2h",
+        "outputId": "afa5ccb5-dd33-4256-bc34-1fe8693a4d68"
+      },
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Author: Luciana Sampaio\n",
+            "\n",
+            "Github username: luasampaio\n",
+            "\n",
+            "Python implementation: CPython\n",
+            "Python version       : 3.10.12\n",
+            "IPython version      : 7.34.0\n",
+            "\n",
+            "Watermark: 2.4.3\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 4,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "6XA6Y2vp6Kgu",
+        "outputId": "de5f9a6a-8b3f-4f9e-b644-8225ce8b506f"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "6\n"
+          ]
+        }
+      ],
+      "source": [
+        "#Função regular\n",
+        "def soma (x, y):\n",
+        "    return x + y\n",
+        "\n",
+        "\n",
+        "valor1 = soma(2,4)\n",
+        "\n",
+        "print(valor1)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Função Lambda\n",
+        "soma = lambda x, y: print(x + y)\n"
+      ],
+      "metadata": {
+        "id": "fREoJMmC6T2K"
+      },
+      "execution_count": 6,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "soma (5,6)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "0VcHmV3l6dvf",
+        "outputId": "52dff6cf-d116-425a-cc19-08c7aa422ea3"
+      },
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "11\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "LQKVjA7J6gE8"
+      },
+      "execution_count": 7,
+      "outputs": []
+    }
+  ]
+}