sqrt.ipynb

sqrt.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "sqrt.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/ikura1/db74a868b5ba0c57870bfd64fed93af0/sqrt.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wQBMHXTc_lVT",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "## nの平方根どれが早い？\n",
        "思った以上にやり方がある\n",
        "\n",
        "* n ** 0.5\n",
        "* pow\n",
        "* math\n",
        "* numpy\n",
        "* sympy\n",
        "* scipy\n",
        "\n",
        "mathが一番早い"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F8rvpo17QJRW",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "acf033d4-e326-4ea9-90b4-f2c8cd7b3797"
      },
      "source": [
        "%shell python --version"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Python 3.6.8\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              ""
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q96HZxueAhdn",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import math\n",
        "import numpy as np\n",
        "import sympy\n",
        "import scipy\n",
        "\n",
        "n = 123456789"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ptR0zDU6_2Pe",
        "colab_type": "code",
        "outputId": "25f53be7-d604-46ce-fc5c-ec8d639f55c6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%%timeit -r 3 -n 1000000\n",
        "n ** 0.5"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1000000 loops, best of 3: 147 ns per loop\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x-tKrKPkD6QN",
        "colab_type": "code",
        "outputId": "7652533d-7390-421d-e802-dce7b8df5706",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%%timeit -r 3 -n 1000000\n",
        "pow(n, 0.5)"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1000000 loops, best of 3: 212 ns per loop\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TM-EMEWyBzQM",
        "colab_type": "code",
        "outputId": "da63b16c-4ab0-43a1-ce26-0dd4581e07a3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%%timeit -r 3 -n 1000000\n",
        "math.sqrt(n)"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1000000 loops, best of 3: 76.3 ns per loop\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-Rnw5QtYEEv2",
        "colab_type": "code",
        "outputId": "b51168fa-6f2e-4ac0-9585-0816b6bf651a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%%timeit -r 3 -n 100000\n",
        "np.sqrt(n)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100000 loops, best of 3: 964 ns per loop\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y5A38C5JEGYD",
        "colab_type": "code",
        "outputId": "9f135ad8-dbe8-4e8b-c6f3-1e24ed27fffb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%%timeit -r 3 -n 1000000\n",
        "sympy.sqrt(n)"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1000000 loops, best of 3: 1.21 µs per loop\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LxsEyyFgEH5n",
        "colab_type": "code",
        "outputId": "9a5c61ea-f4da-4834-a5af-07bcbbe751cf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%%timeit -r 3 -n 1000000\n",
        "scipy.sqrt(n)"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1000000 loops, best of 3: 7.73 µs per loop\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NgxNlDkYn6CJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}