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Lecture 1.ipynb
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Lecture 1.ipynb
{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "## Первое занятие\nСегодня мы будем изучать:\n\n- Python\n- Jupyter"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "2 + 3",
"execution_count": 23,
"outputs": [
{
"data": {
"text/plain": "5"
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "2 * 3",
"execution_count": 24,
"outputs": [
{
"data": {
"text/plain": "6"
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "2 ^ 3",
"execution_count": 25,
"outputs": [
{
"data": {
"text/plain": "1"
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "2 ** 3",
"execution_count": 26,
"outputs": [
{
"data": {
"text/plain": "8"
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "2 *** 3",
"execution_count": 27,
"outputs": [
{
"ename": "SyntaxError",
"evalue": "invalid syntax (<ipython-input-27-24bed3999a74>, line 1)",
"output_type": "error",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"<ipython-input-27-24bed3999a74>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m 2 *** 3\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
]
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "(2 + 3) ** 4 ",
"execution_count": 28,
"outputs": [
{
"data": {
"text/plain": "625"
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "4 / 2",
"execution_count": 29,
"outputs": [
{
"data": {
"text/plain": "2.0"
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "13 // 3",
"execution_count": 30,
"outputs": [
{
"data": {
"text/plain": "4"
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "13 % 3",
"execution_count": 31,
"outputs": [
{
"data": {
"text/plain": "1"
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# This is code comment",
"execution_count": 32,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Header 2\n### Header 3"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "9 ** (9 ** 9)",
"execution_count": 33,
"outputs": [
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-33-468fd74d1075>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;36m9\u001b[0m \u001b[0;34m**\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m9\u001b[0m \u001b[0;34m**\u001b[0m \u001b[0;36m9\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "x = 21\ny = 3",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "x + y",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "z",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "z",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "z = 5",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "z",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "del z",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "z",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "z = 5\nprint(z)\ndel z",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print(z)",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "x = 2",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "x = x + 1",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "x",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "%who",
"execution_count": 34,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "x\t \n"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "%whos",
"execution_count": 35,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Variable Type Data/Info\n----------------------------\nx int 4\n"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "x = 1\ny = 2\nz = 3",
"execution_count": 36,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "%whos",
"execution_count": 37,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Variable Type Data/Info\n----------------------------\nx int 1\ny int 2\nz int 3\n"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Задача\nНаучиться генерировать последовательные числа Фибоначчи."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "prev = 1\ncur = 1",
"execution_count": 62,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# Написать код, который при каждом своём запуске будет\n# генерировать очередное число Фибоначчи\nnew = prev + cur\nprev = cur\ncur = new\n\nprint(new)",
"execution_count": 71,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "89\n"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "32",
"execution_count": 72,
"outputs": [
{
"data": {
"text/plain": "32"
},
"execution_count": 72,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "s = \"Hello, World\"\nprint(s)",
"execution_count": 73,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": "Hello, World\n"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "s",
"execution_count": 74,
"outputs": [
{
"data": {
"text/plain": "'Hello, World'"
},
"execution_count": 74,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "123",
"execution_count": 75,
"outputs": [
{
"data": {
"text/plain": "123"
},
"execution_count": 75,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "str(123)",
"execution_count": 76,
"outputs": [
{
"data": {
"text/plain": "'123'"
},
"execution_count": 76,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "x = \"43.234\"",
"execution_count": 77,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "int(x)",
"execution_count": 78,
"outputs": [
{
"ename": "ValueError",
"evalue": "invalid literal for int() with base 10: '43.234'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-78-acaae37f5ab0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\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: invalid literal for int() with base 10: '43.234'"
]
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "float(x)",
"execution_count": 79,
"outputs": [
{
"data": {
"text/plain": "43.234"
},
"execution_count": 79,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "int(float(x))",
"execution_count": 81,
"outputs": [
{
"data": {
"text/plain": "43"
},
"execution_count": 81,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "type(2.3)",
"execution_count": 82,
"outputs": [
{
"data": {
"text/plain": "float"
},
"execution_count": 82,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "type(2.0)",
"execution_count": 83,
"outputs": [
{
"data": {
"text/plain": "float"
},
"execution_count": 83,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "type(2)",
"execution_count": 84,
"outputs": [
{
"data": {
"text/plain": "int"
},
"execution_count": 84,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "type(\"2\")",
"execution_count": 85,
"outputs": [
{
"data": {
"text/plain": "str"
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "\"2\" + \"3\"",
"execution_count": 87,
"outputs": [
{
"data": {
"text/plain": "'23'"
},
"execution_count": 87,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "str(2) + \"3\"",
"execution_count": 88,
"outputs": [
{
"data": {
"text/plain": "'23'"
},
"execution_count": 88,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "'123'",
"execution_count": 89,
"outputs": [
{
"data": {
"text/plain": "'123'"
},
"execution_count": 89,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "\"123\"",
"execution_count": 90,
"outputs": [
{
"data": {
"text/plain": "'123'"
},
"execution_count": 90,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "type(\"c\")",
"execution_count": 91,
"outputs": [
{
"data": {
"text/plain": "str"
},
"execution_count": 91,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "type('c')",
"execution_count": 92,
"outputs": [
{
"data": {
"text/plain": "str"
},
"execution_count": 92,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "s = \"hello\"",
"execution_count": 93,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "s[2]",
"execution_count": 94,
"outputs": [
{
"data": {
"text/plain": "'l'"
},
"execution_count": 94,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "\"This\" * 10",
"execution_count": 95,
"outputs": [
{
"data": {
"text/plain": "'ThisThisThisThisThisThisThisThisThisThis'"
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
}
],
"metadata": {
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
},
"language_info": {
"name": "python",
"version": "3.7.2",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"gist": {
"id": "",
"data": {
"description": "Lecture 1.ipynb",
"public": false
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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