lecture1.ipynb

lecture1.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPxXFdKmucjS6jzW8kHpK64",
      "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/gist/mscroggs/f26c9aac2be076525966f9010823695a/lecture1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8mZXL_cPvdO9",
        "outputId": "dfba6b3b-453c-4e2c-d512-22f5a6a0f4be"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Hello World\n"
          ]
        }
      ],
      "source": [
        "print(\"Hello World\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np"
      ],
      "metadata": {
        "id": "RVB8Ob4JvjEY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "a = np.array([1, 2.5, 6])\n",
        "matrix = np.array([[1, 0], [0, 1]])"
      ],
      "metadata": {
        "id": "_kCfD4lYv0Tx"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "a"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TkiK_Osqv_pE",
        "outputId": "74644e17-f99c-4772-8c22-689d66c720fc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1. , 2.5, 6. ])"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "b = np.array([1, 2.5, 6], dtype=\"float32\")"
      ],
      "metadata": {
        "id": "_DIgCZFdwApS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "b"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GjCk0temwLhr",
        "outputId": "a7df6ae3-49b8-4c64-c340-4a410905df2e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1. , 2.5, 6. ], dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a_random = np.random.rand(5)\n",
        "a_ones = np.ones(3)\n",
        "a_zeros = np.zeros((3, 3))\n",
        "a_empty = np.empty(10, dtype=\"int64\")\n",
        "a_range = np.arange(4, 10)"
      ],
      "metadata": {
        "id": "1s8e54qawMVb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(a_random)\n",
        "print(a_ones)\n",
        "print(a_range)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dep0tBLCwack",
        "outputId": "64b4b306-80e3-4caa-c348-d7737f1c894b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[0.34228755 0.19983794 0.57252219]\n",
            " [0.19210979 0.17529747 0.20346028]\n",
            " [0.54568769 0.67577675 0.39756324]]\n",
            "[1. 1. 1.]\n",
            "[4 5 6 7 8 9]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a_random @ a_ones"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dsGFv7snwbZM",
        "outputId": "0f55a97f-2112-49cb-9efd-bfd16d20c4e1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1.27680211, 1.93109138, 0.90798191])"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(a_random)\n",
        "print(a_random[1:3])\n",
        "print(a_random[0:5:2])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Od0KRINxws1A",
        "outputId": "0146bebd-7bd0-4fb0-ff43-7187af48d519"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[0.60128865 0.5510969  0.48542947 0.11672078 0.1401818 ]\n",
            "[0.5510969  0.48542947]\n",
            "[0.60128865 0.48542947 0.1401818 ]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "matrix = np.random.rand(5,5)"
      ],
      "metadata": {
        "id": "gjBGhtohxwoh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(matrix)\n",
        "print(matrix[1,2:4])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fBgZ47Gayc7m",
        "outputId": "c23ffe0b-4823-443b-9958-d729fea063dd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[0.59106915 0.95922431 0.18003074 0.29132311 0.39444247]\n",
            " [0.3066083  0.21008175 0.25499676 0.60436743 0.83227058]\n",
            " [0.62174497 0.46483412 0.93826309 0.26653236 0.60751204]\n",
            " [0.43323311 0.50835979 0.08424809 0.66042097 0.88675662]\n",
            " [0.39922824 0.88350175 0.55648825 0.30047552 0.26408969]]\n",
            "[0.25499676 0.60436743]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "matrix[0,0] = 1\n",
        "print(matrix)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PTHfx9ciyi0i",
        "outputId": "32497be2-96e9-415c-deb1-308ee71ab5e6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1.         0.95922431 0.18003074 0.29132311 0.39444247]\n",
            " [0.3066083  0.21008175 0.25499676 0.60436743 0.83227058]\n",
            " [0.62174497 0.46483412 0.93826309 0.26653236 0.60751204]\n",
            " [0.43323311 0.50835979 0.08424809 0.66042097 0.88675662]\n",
            " [0.39922824 0.88350175 0.55648825 0.30047552 0.26408969]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "WWJZIEWoy1sr"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}