ischurov · January 12, 2021 17:35
diff --git a/lecture01.ipynb b/lecture01.ipynb
 {
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      "metadata": {
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      "cell_type": "code",
      "source": "2 + 3",
      "execution_count": 1,
      "outputs": [
        {
          "data": {
            "text/plain": "5"
          },
          "execution_count": 1,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
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      "cell_type": "code",
      "source": "(2 + 5) * 3 + 7",
      "execution_count": 2,
      "outputs": [
        {
          "data": {
            "text/plain": "28"
          },
          "execution_count": 2,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "4 / 2",
      "execution_count": 3,
      "outputs": [
        {
          "data": {
            "text/plain": "2.0"
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
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      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "1 * 2",
      "execution_count": 4,
      "outputs": [
        {
          "data": {
            "text/plain": "2"
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "4 / 3",
      "execution_count": 5,
      "outputs": [
        {
          "data": {
            "text/plain": "1.3333333333333333"
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x = 12\ny = 32",
      "execution_count": 6,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "4 + x",
      "execution_count": 7,
      "outputs": [
        {
          "data": {
            "text/plain": "16"
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x",
      "execution_count": 8,
      "outputs": [
        {
          "data": {
            "text/plain": "12"
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x = 15",
      "execution_count": 9,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x",
      "execution_count": 10,
      "outputs": [
        {
          "data": {
            "text/plain": "15"
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x = x + 1",
      "execution_count": 11,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x",
      "execution_count": 12,
      "outputs": [
        {
          "data": {
            "text/plain": "16"
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "%whos",
      "execution_count": 14,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "Variable         Type        Data/Info\n--------------------------------------\nblack_reformat   function    <function black_reformat at 0x10d511820>\nx                int         16\ny                int         32\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "3",
      "execution_count": 15,
      "outputs": [
        {
          "data": {
            "text/plain": "3"
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "3.0",
      "execution_count": 16,
      "outputs": [
        {
          "data": {
            "text/plain": "3.0"
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "s = \"Hello, world!\"",
      "execution_count": 17,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "s",
      "execution_count": 18,
      "outputs": [
        {
          "data": {
            "text/plain": "'Hello, world!'"
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "s = 'Корпорация \"Майкрософт\"'",
      "execution_count": 20,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "s",
      "execution_count": 21,
      "outputs": [
        {
          "data": {
            "text/plain": "'Корпорация \"Майкрософт\"'"
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "s = \"It's me\"",
      "execution_count": 22,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "s",
      "execution_count": 23,
      "outputs": [
        {
          "data": {
            "text/plain": "\"It's me\""
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "type(s)",
      "execution_count": 24,
      "outputs": [
        {
          "data": {
            "text/plain": "str"
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "type(\"Hello\")",
      "execution_count": 25,
      "outputs": [
        {
          "data": {
            "text/plain": "str"
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "type(2)",
      "execution_count": 26,
      "outputs": [
        {
          "data": {
            "text/plain": "int"
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "type(2.0)",
      "execution_count": 27,
      "outputs": [
        {
          "data": {
            "text/plain": "float"
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x = float(\"12.34\")",
      "execution_count": 29,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x",
      "execution_count": 30,
      "outputs": [
        {
          "data": {
            "text/plain": "12.34"
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x + 0.2",
      "execution_count": 31,
      "outputs": [
        {
          "data": {
            "text/plain": "12.54"
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "\"12.34\" + 0.2",
      "execution_count": 32,
      "outputs": [
        {
          "ename": "TypeError",
          "evalue": "can only concatenate str (not \"float\") to str",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-32-690faa7a9d66>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;34m\"12.34\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m0.2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m: can only concatenate str (not \"float\") to str"
          ]
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "float(\"Hello\")",
      "execution_count": 33,
      "outputs": [
        {
          "ename": "ValueError",
          "evalue": "could not convert string to float: 'Hello'",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-33-ff6885467a56>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfloat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Hello\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mValueError\u001b[0m: could not convert string to float: 'Hello'"
          ]
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "s = input(\"Как вас зовут? \")\nprint(\"Здравствуйте,\", s)",
      "execution_count": 34,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "Как вас зовут? Илья\nЗдравствуйте, Илья\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "print(1, 2, 3)",
      "execution_count": 35,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "1 2 3\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "print(\"Hello\", \"World\")",
      "execution_count": 36,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "Hello World\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# Напишите код, который запрашивает с клавиатуры целое число\n# и возвращает его, умноженное на два\n# например, если пользователь ввёл 3, программа должна напечатать 6",
      "execution_count": 38,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "number = input(\"Введите число: \")\n\nprint(number * 2)",
      "execution_count": 39,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "Введите число: 123\n123123\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "numberber",
      "execution_count": 40,
      "outputs": [
        {
          "data": {
            "text/plain": "'123'"
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "a = \"Hello\"\nb = \"World\"\na + b",
      "execution_count": 41,
      "outputs": [
        {
          "data": {
            "text/plain": "'HelloWorld'"
          },
          "execution_count": 41,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "\"Hello\" * 3",
      "execution_count": 42,
      "outputs": [
        {
          "data": {
            "text/plain": "'HelloHelloHello'"
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "user_input = input(\"Введите число: \")\nnumber = int(user_input)\nprint(number * 2)",
      "execution_count": 43,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "Введите число: 12\n24\n"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "`TypeError: 'str' object is not callable`"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "input = \"Hello!\"",
      "execution_count": 44,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "input",
      "execution_count": 45,
      "outputs": [
        {
          "data": {
            "text/plain": "'Hello!'"
          },
          "execution_count": 45,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "user_input = input(\"Введите число\")",
      "execution_count": 46,
      "outputs": [
        {
          "ename": "TypeError",
          "evalue": "'str' object is not callable",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-46-75b2586fd7d5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0muser_input\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Введите число\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m: 'str' object is not callable"
          ]
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "3 + 2",
      "execution_count": 47,
      "outputs": [
        {
          "data": {
            "text/plain": "5"
          },
          "execution_count": 47,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "sqrt(10)",
      "execution_count": 48,
      "outputs": [
        {
          "ename": "NameError",
          "evalue": "name 'sqrt' is not defined",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-48-0c2ba68b944d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msqrt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m: name 'sqrt' is not defined"
          ]
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import math",
      "execution_count": 49,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "math.sqrt(10)",
      "execution_count": 50,
      "outputs": [
        {
          "data": {
            "text/plain": "3.1622776601683795"
          },
          "execution_count": 50,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import math as m",
      "execution_count": 51,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "m.sqrt(10)",
      "execution_count": 52,
      "outputs": [
        {
          "data": {
            "text/plain": "3.1622776601683795"
          },
          "execution_count": 52,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "from math import sqrt",
      "execution_count": 53,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "sqrt(10)",
      "execution_count": 54,
      "outputs": [
        {
          "data": {
            "text/plain": "3.1622776601683795"
          },
          "execution_count": 54,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "input",
      "execution_count": 55,
      "outputs": [
        {
          "data": {
            "text/plain": "'Hello!'"
          },
          "execution_count": 55,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "del input",
      "execution_count": 56,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "input",
      "execution_count": 57,
      "outputs": [
        {
          "data": {
            "text/plain": "<bound method Kernel.raw_input of <ipykernel.ipkernel.IPythonKernel object at 0x10d424fd0>>"
          },
          "execution_count": 57,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x",
      "execution_count": 58,
      "outputs": [
        {
          "data": {
            "text/plain": "12.34"
          },
          "execution_count": 58,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "del x",
      "execution_count": 59,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x",
      "execution_count": 60,
      "outputs": [
        {
          "ename": "NameError",
          "evalue": "name 'x' is not defined",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-60-6fcf9dfbd479>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m: name 'x' is not defined"
          ]
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Задача\nЧисла Фибоначчи:\n$$x_1=1,\\quad x_2=1,\\quad x_{k+1} = x_k + x_{k-1}, \\quad k = 2, 3, \\ldots$$\n\n$$1, 1, 2, 3, 5, 8, 13,\\ldots$$"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "prev = 1\ncur = 1",
      "execution_count": 8,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "new = cur + prev\nprint(new)\nprev = cur\ncur = new",
      "execution_count": 21,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "610\n"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "**Пример.**"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x = 1",
      "execution_count": 63,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "x = x * 2\nprint(x)",
      "execution_count": 74,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "2048\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "z = 12",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "py38_system",
      "display_name": "Python 3.8 (system)",
      "language": "python"
    },
    "language_info": {
      "name": "python",
      "version": "3.8.6",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "gist": {
      "id": "",
      "data": {
        "description": "lecture01.ipynb",
        "public": true
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 4
 }
	{
	"cells": [
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "2 + 3",
	"execution_count": 1,
	"outputs": [
	{
	"data": {
	"text/plain": "5"
	},
	"execution_count": 1,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "(2 + 5) * 3 + 7",
	"execution_count": 2,
	"outputs": [
	{
	"data": {
	"text/plain": "28"
	},
	"execution_count": 2,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "4 / 2",
	"execution_count": 3,
	"outputs": [
	{
	"data": {
	"text/plain": "2.0"
	},
	"execution_count": 3,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "1 * 2",
	"execution_count": 4,
	"outputs": [
	{
	"data": {
	"text/plain": "2"
	},
	"execution_count": 4,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "4 / 3",
	"execution_count": 5,
	"outputs": [
	{
	"data": {
	"text/plain": "1.3333333333333333"
	},
	"execution_count": 5,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x = 12\ny = 32",
	"execution_count": 6,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "4 + x",
	"execution_count": 7,
	"outputs": [
	{
	"data": {
	"text/plain": "16"
	},
	"execution_count": 7,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x",
	"execution_count": 8,
	"outputs": [
	{
	"data": {
	"text/plain": "12"
	},
	"execution_count": 8,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x = 15",
	"execution_count": 9,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x",
	"execution_count": 10,
	"outputs": [
	{
	"data": {
	"text/plain": "15"
	},
	"execution_count": 10,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x = x + 1",
	"execution_count": 11,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x",
	"execution_count": 12,
	"outputs": [
	{
	"data": {
	"text/plain": "16"
	},
	"execution_count": 12,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "%whos",
	"execution_count": 14,
	"outputs": [
	{
	"name": "stdout",
	"output_type": "stream",
	"text": "Variable Type Data/Info\n--------------------------------------\nblack_reformat function <function black_reformat at 0x10d511820>\nx int 16\ny int 32\n"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "3",
	"execution_count": 15,
	"outputs": [
	{
	"data": {
	"text/plain": "3"
	},
	"execution_count": 15,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "3.0",
	"execution_count": 16,
	"outputs": [
	{
	"data": {
	"text/plain": "3.0"
	},
	"execution_count": 16,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "s = \"Hello, world!\"",
	"execution_count": 17,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "s",
	"execution_count": 18,
	"outputs": [
	{
	"data": {
	"text/plain": "'Hello, world!'"
	},
	"execution_count": 18,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "s = 'Корпорация \"Майкрософт\"'",
	"execution_count": 20,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "s",
	"execution_count": 21,
	"outputs": [
	{
	"data": {
	"text/plain": "'Корпорация \"Майкрософт\"'"
	},
	"execution_count": 21,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "s = \"It's me\"",
	"execution_count": 22,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "s",
	"execution_count": 23,
	"outputs": [
	{
	"data": {
	"text/plain": "\"It's me\""
	},
	"execution_count": 23,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "type(s)",
	"execution_count": 24,
	"outputs": [
	{
	"data": {
	"text/plain": "str"
	},
	"execution_count": 24,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "type(\"Hello\")",
	"execution_count": 25,
	"outputs": [
	{
	"data": {
	"text/plain": "str"
	},
	"execution_count": 25,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "type(2)",
	"execution_count": 26,
	"outputs": [
	{
	"data": {
	"text/plain": "int"
	},
	"execution_count": 26,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "type(2.0)",
	"execution_count": 27,
	"outputs": [
	{
	"data": {
	"text/plain": "float"
	},
	"execution_count": 27,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x = float(\"12.34\")",
	"execution_count": 29,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x",
	"execution_count": 30,
	"outputs": [
	{
	"data": {
	"text/plain": "12.34"
	},
	"execution_count": 30,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x + 0.2",
	"execution_count": 31,
	"outputs": [
	{
	"data": {
	"text/plain": "12.54"
	},
	"execution_count": 31,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "\"12.34\" + 0.2",
	"execution_count": 32,
	"outputs": [
	{
	"ename": "TypeError",
	"evalue": "can only concatenate str (not \"float\") to str",
	"output_type": "error",
	"traceback": [
	"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
	"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
	"\u001b[0;32m<ipython-input-32-690faa7a9d66>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;34m\"12.34\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m0.2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
	"\u001b[0;31mTypeError\u001b[0m: can only concatenate str (not \"float\") to str"
	]
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "float(\"Hello\")",
	"execution_count": 33,
	"outputs": [
	{
	"ename": "ValueError",
	"evalue": "could not convert string to float: 'Hello'",
	"output_type": "error",
	"traceback": [
	"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
	"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
	"\u001b[0;32m<ipython-input-33-ff6885467a56>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfloat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Hello\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
	"\u001b[0;31mValueError\u001b[0m: could not convert string to float: 'Hello'"
	]
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "s = input(\"Как вас зовут? \")\nprint(\"Здравствуйте,\", s)",
	"execution_count": 34,
	"outputs": [
	{
	"name": "stdout",
	"output_type": "stream",
	"text": "Как вас зовут? Илья\nЗдравствуйте, Илья\n"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "print(1, 2, 3)",
	"execution_count": 35,
	"outputs": [
	{
	"name": "stdout",
	"output_type": "stream",
	"text": "1 2 3\n"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "print(\"Hello\", \"World\")",
	"execution_count": 36,
	"outputs": [
	{
	"name": "stdout",
	"output_type": "stream",
	"text": "Hello World\n"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "# Напишите код, который запрашивает с клавиатуры целое число\n# и возвращает его, умноженное на два\n# например, если пользователь ввёл 3, программа должна напечатать 6",
	"execution_count": 38,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "number = input(\"Введите число: \")\n\nprint(number * 2)",
	"execution_count": 39,
	"outputs": [
	{
	"name": "stdout",
	"output_type": "stream",
	"text": "Введите число: 123\n123123\n"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "numberber",
	"execution_count": 40,
	"outputs": [
	{
	"data": {
	"text/plain": "'123'"
	},
	"execution_count": 40,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "a = \"Hello\"\nb = \"World\"\na + b",
	"execution_count": 41,
	"outputs": [
	{
	"data": {
	"text/plain": "'HelloWorld'"
	},
	"execution_count": 41,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "\"Hello\" * 3",
	"execution_count": 42,
	"outputs": [
	{
	"data": {
	"text/plain": "'HelloHelloHello'"
	},
	"execution_count": 42,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "user_input = input(\"Введите число: \")\nnumber = int(user_input)\nprint(number * 2)",
	"execution_count": 43,
	"outputs": [
	{
	"name": "stdout",
	"output_type": "stream",
	"text": "Введите число: 12\n24\n"
	}
	]
	},
	{
	"metadata": {},
	"cell_type": "markdown",
	"source": "`TypeError: 'str' object is not callable`"
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "input = \"Hello!\"",
	"execution_count": 44,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "input",
	"execution_count": 45,
	"outputs": [
	{
	"data": {
	"text/plain": "'Hello!'"
	},
	"execution_count": 45,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "user_input = input(\"Введите число\")",
	"execution_count": 46,
	"outputs": [
	{
	"ename": "TypeError",
	"evalue": "'str' object is not callable",
	"output_type": "error",
	"traceback": [
	"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
	"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
	"\u001b[0;32m<ipython-input-46-75b2586fd7d5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0muser_input\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Введите число\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
	"\u001b[0;31mTypeError\u001b[0m: 'str' object is not callable"
	]
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "3 + 2",
	"execution_count": 47,
	"outputs": [
	{
	"data": {
	"text/plain": "5"
	},
	"execution_count": 47,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "sqrt(10)",
	"execution_count": 48,
	"outputs": [
	{
	"ename": "NameError",
	"evalue": "name 'sqrt' is not defined",
	"output_type": "error",
	"traceback": [
	"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
	"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
	"\u001b[0;32m<ipython-input-48-0c2ba68b944d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msqrt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
	"\u001b[0;31mNameError\u001b[0m: name 'sqrt' is not defined"
	]
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "import math",
	"execution_count": 49,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "math.sqrt(10)",
	"execution_count": 50,
	"outputs": [
	{
	"data": {
	"text/plain": "3.1622776601683795"
	},
	"execution_count": 50,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "import math as m",
	"execution_count": 51,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "m.sqrt(10)",
	"execution_count": 52,
	"outputs": [
	{
	"data": {
	"text/plain": "3.1622776601683795"
	},
	"execution_count": 52,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "from math import sqrt",
	"execution_count": 53,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "sqrt(10)",
	"execution_count": 54,
	"outputs": [
	{
	"data": {
	"text/plain": "3.1622776601683795"
	},
	"execution_count": 54,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "input",
	"execution_count": 55,
	"outputs": [
	{
	"data": {
	"text/plain": "'Hello!'"
	},
	"execution_count": 55,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "del input",
	"execution_count": 56,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "input",
	"execution_count": 57,
	"outputs": [
	{
	"data": {
	"text/plain": "<bound method Kernel.raw_input of <ipykernel.ipkernel.IPythonKernel object at 0x10d424fd0>>"
	},
	"execution_count": 57,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x",
	"execution_count": 58,
	"outputs": [
	{
	"data": {
	"text/plain": "12.34"
	},
	"execution_count": 58,
	"metadata": {},
	"output_type": "execute_result"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "del x",
	"execution_count": 59,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x",
	"execution_count": 60,
	"outputs": [
	{
	"ename": "NameError",
	"evalue": "name 'x' is not defined",
	"output_type": "error",
	"traceback": [
	"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
	"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
	"\u001b[0;32m<ipython-input-60-6fcf9dfbd479>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
	"\u001b[0;31mNameError\u001b[0m: name 'x' is not defined"
	]
	}
	]
	},
	{
	"metadata": {},
	"cell_type": "markdown",
	"source": "## Задача\nЧисла Фибоначчи:\n$$x_1=1,\\quad x_2=1,\\quad x_{k+1} = x_k + x_{k-1}, \\quad k = 2, 3, \\ldots$$\n\n$$1, 1, 2, 3, 5, 8, 13,\\ldots$$"
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "prev = 1\ncur = 1",
	"execution_count": 8,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "new = cur + prev\nprint(new)\nprev = cur\ncur = new",
	"execution_count": 21,
	"outputs": [
	{
	"name": "stdout",
	"output_type": "stream",
	"text": "610\n"
	}
	]
	},
	{
	"metadata": {},
	"cell_type": "markdown",
	"source": "Пример."
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x = 1",
	"execution_count": 63,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "x = x * 2\nprint(x)",
	"execution_count": 74,
	"outputs": [
	{
	"name": "stdout",
	"output_type": "stream",
	"text": "2048\n"
	}
	]
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "z = 12",
	"execution_count": null,
	"outputs": []
	},
	{
	"metadata": {
	"trusted": true
	},
	"cell_type": "code",
	"source": "",
	"execution_count": null,
	"outputs": []
	}
	],
	"metadata": {
	"kernelspec": {
	"name": "py38_system",
	"display_name": "Python 3.8 (system)",
	"language": "python"
	},
	"language_info": {
	"name": "python",
	"version": "3.8.6",
	"mimetype": "text/x-python",
	"codemirror_mode": {
	"name": "ipython",
	"version": 3
	},
	"pygments_lexer": "ipython3",
	"nbconvert_exporter": "python",
	"file_extension": ".py"
	},
	"gist": {
	"id": "",
	"data": {
	"description": "lecture01.ipynb",
	"public": true
	}
	}
	},
	"nbformat": 4,
	"nbformat_minor": 4
	}