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Добавил настройки Binder (использование workspaces)

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This commit is contained in:
Sergey Lemeshevsky
2020-02-19 15:51:37 +03:00
parent d53224ecea
commit e5480e926d
5 changed files with 513 additions and 241 deletions
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1
.gitignore vendored Normal file
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@@ -0,0 +1 @@
/.ipynb_checkpoints/*.ipynb

437
arithmetic.ipynb
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@@ -10,7 +10,6 @@
"<!-- Author: --> \n",
"**С.В. Лемешевский** (email: `sergey.lemeshevsky@gmail.com`), Институт математики НАН Беларуси\n",
"\n",
"Date: **Feb 19, 2020**\n",
"\n",
"Язык Python , благодаря наличию огромного количества библиотек для решения\n",
"разного рода вычислительных задач, является конкурентом таким пакетам как Matlab и\n",
@@ -58,7 +57,10 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -74,11 +76,25 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 4,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"5"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a = 3\n",
"b = 2\n",
@@ -96,7 +112,10 @@
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -118,7 +137,10 @@
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -139,7 +161,10 @@
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -163,7 +188,10 @@
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -174,7 +202,10 @@
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -194,7 +225,10 @@
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -205,7 +239,10 @@
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -225,7 +262,10 @@
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -236,7 +276,10 @@
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -256,7 +299,10 @@
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -267,7 +313,10 @@
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -287,7 +336,10 @@
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -298,7 +350,10 @@
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -331,7 +386,10 @@
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -343,7 +401,10 @@
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -363,7 +424,10 @@
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -374,7 +438,10 @@
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -385,7 +452,10 @@
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -396,7 +466,10 @@
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -407,7 +480,10 @@
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -418,7 +494,10 @@
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -436,7 +515,10 @@
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -448,7 +530,10 @@
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -467,7 +552,10 @@
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -494,14 +582,16 @@
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> p = 9\n",
">>> q = 3\n",
">>> p & q\n",
"1"
"p = 9\n",
"q = 3\n",
"p & q"
]
},
{
@@ -515,12 +605,14 @@
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> p | q\n",
"11"
"p | q"
]
},
{
@@ -534,15 +626,35 @@
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> p ^ q\n",
"10\n",
"Инверсия.\n",
">>> ~ p\n",
"- 10"
"p^q"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Инверсия.**"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"~p"
]
},
{
@@ -554,16 +666,16 @@
},
{
"cell_type": "code",
"execution_count": 30,
"execution_count": 31,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> p << 1\n",
"18\n",
">>> p >> 1\n",
"4"
"p<<1"
]
},
{
@@ -586,15 +698,17 @@
},
{
"cell_type": "code",
"execution_count": 31,
"execution_count": 32,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> m = 124504\n",
">>> hex(m)\n",
"'0x1e658'"
"m = 124504\n",
"hex(m)"
]
},
{
@@ -606,14 +720,16 @@
},
{
"cell_type": "code",
"execution_count": 32,
"execution_count": 33,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> oct(m)\n",
"'0o363130'"
"oct(m)"
]
},
{
@@ -625,14 +741,16 @@
},
{
"cell_type": "code",
"execution_count": 33,
"execution_count": 34,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> bin(m)\n",
"'0b11110011001011000'"
"bin(m)"
]
},
{
@@ -654,9 +772,12 @@
},
{
"cell_type": "code",
"execution_count": 34,
"execution_count": 2,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -676,14 +797,16 @@
},
{
"cell_type": "code",
"execution_count": 35,
"execution_count": 36,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> math.ceil( 3.2 )\n",
"4"
"math.ceil( 3.2 )"
]
},
{
@@ -697,14 +820,16 @@
},
{
"cell_type": "code",
"execution_count": 36,
"execution_count": 37,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> math.fabs(-7)\n",
"7.0"
"math.fabs(-7)"
]
},
{
@@ -718,14 +843,16 @@
},
{
"cell_type": "code",
"execution_count": 37,
"execution_count": 38,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> math.factorial( 5 )\n",
"120"
"math.factorial(5)"
]
},
{
@@ -739,14 +866,16 @@
},
{
"cell_type": "code",
"execution_count": 38,
"execution_count": 39,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> math.floor( 3.2 )\n",
"3"
"math.floor( 3.2 )"
]
},
{
@@ -759,14 +888,16 @@
},
{
"cell_type": "code",
"execution_count": 39,
"execution_count": 40,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> math.exp( 3 )\n",
"20.08553692318766"
"math.exp( 3 )"
]
},
{
@@ -774,12 +905,50 @@
"metadata": {},
"source": [
"**Функция `math.log2(x)`.**\n",
"Логарифм по основанию `2`.\n",
"\n",
"Логарифм по основанию `2`."
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"math.log2(8)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Функция `math.log10(x)`.**\n",
"\n",
"Логарифм по основанию 10.\n",
"\n",
"Логарифм по основанию 10."
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"math.log10( 1000 )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Функция `math.log(x[, base])`.**\n",
"\n",
"По умолчанию вычисляет логарифм по основанию `e`, дополнительно можно указать\n",
@@ -788,20 +957,30 @@
},
{
"cell_type": "code",
"execution_count": 40,
"execution_count": 43,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> math.log2( 8 )\n",
"3.0\n",
">>> math.log10( 1000 )\n",
"3.0\n",
">>> math.log( 5 )\n",
"1.609437912434100\n",
">>> math.log( 4 , 8 )\n",
"0.666666666666666"
"math.log(5)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"math.log()"
]
},
{
@@ -815,14 +994,16 @@
},
{
"cell_type": "code",
"execution_count": 41,
"execution_count": 45,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> math.pow( 3 , 4 )\n",
"81.0"
"math.pow(3 , 4)"
]
},
{
@@ -836,14 +1017,27 @@
},
{
"cell_type": "code",
"execution_count": 42,
"execution_count": 3,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"5.0"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
">>> math.sqrt( 25 )\n",
"5.0"
"math.sqrt(25)"
]
},
{
@@ -884,9 +1078,34 @@
"<!-- doconce-chapter-nickname: \"arithmetic\" -->\n",
"<!-- End: -->"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {},
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}

4
binder/postBuild Normal file
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@@ -0,0 +1,4 @@
#!/bin/bash
# Import the workspace into JupyterLab
jupyter lab workspaces import binder/workspace.json

1
binder/workspace.json Normal file
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@@ -0,0 +1 @@
{"data":{"layout-restorer:data":{"main":{"dock":{"type":"tab-area","currentIndex":2,"widgets":["notebook:arithmetic.ipynb","notebook:datatype.ipynb","setting-editor:setting-editor"]},"mode":"multiple-document","current":"setting-editor:setting-editor"},"left":{"collapsed":false,"current":"command-palette","widgets":["filebrowser","running-sessions","command-palette","tab-manager","extensionmanager.main-view"]},"right":{"collapsed":true,"widgets":[]}},"file-browser-filebrowser:cwd":{"path":""},"notebook:arithmetic.ipynb":{"data":{"path":"arithmetic.ipynb","factory":"Notebook"}},"notebook:datatype.ipynb":{"data":{"path":"datatype.ipynb","factory":"Notebook"}},"setting-editor:setting-editor":{"data":{}},"@jupyterlab/settingeditor-extension:plugin":{"sizes":[0.19017980636237897,0.809820193637621],"container":{"plugin":"@jupyterlab/notebook-extension:tracker","sizes":[0.5,0.5]}}},"metadata":{"id":"/lab"}}

311
datatype.ipynb
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@@ -56,7 +56,10 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -148,7 +151,10 @@
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -191,7 +197,10 @@
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
@@ -207,104 +216,31 @@
]
},
{
"cell_type": "markdown",
"metadata": {},
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"4\n",
" \n",
"<\n",
"<\n",
"<\n",
"!\n",
"!\n",
"C\n",
"O\n",
"D\n",
"E\n",
"_\n",
"B\n",
"L\n",
"O\n",
"C\n",
"K\n",
" \n",
" \n",
"p\n",
"y\n",
"c\n",
"o\n",
"d"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"5\n",
" \n",
"<\n",
"<\n",
"<\n",
"!\n",
"!\n",
"C\n",
"O\n",
"D\n",
"E\n",
"_\n",
"B\n",
"L\n",
"O\n",
"C\n",
"K\n",
" \n",
" \n",
"p\n",
"y\n",
"c\n",
"o\n",
"d"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"6\n",
" \n",
"<\n",
"<\n",
"<\n",
"!\n",
"!\n",
"C\n",
"O\n",
"D\n",
"E\n",
"_\n",
"B\n",
"L\n",
"O\n",
"C\n",
"K\n",
" \n",
" \n",
"p\n",
"y\n",
"c\n",
"o\n",
"d"
"keyword.iskeyword( \"try\" )"
]
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 5,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"False"
"keyword.iskeyword( \"b\" )"
]
},
{
@@ -317,21 +253,47 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 6,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> a = 4\n",
">>> b = 5\n",
">>> id (a)\n",
"1829984576\n",
">>> id (b)\n",
"1829984592\n",
">>> a = b\n",
">>> id (a)\n",
"1829984592"
"a = 4\n",
"b = 5\n",
"id (a)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"id (b)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"a = b\n",
"id (a)"
]
},
{
@@ -356,21 +318,47 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 9,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> a = 10\n",
">>> b = \"hello\"\n",
">>> c = ( 1 , 2 )\n",
">>> type (a)\n",
"< class 'int' >\n",
">>> type (b)\n",
"< class 'str' >\n",
">>> type (c)\n",
"< class 'tuple' >"
"a = 10\n",
"b = \"hello\"\n",
"c = ( 1 , 2 )\n",
"type (a)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"type (b)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"type (c)"
]
},
{
@@ -420,17 +408,31 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 12,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> k = 15\n",
">>> id (k)\n",
"1672501744\n",
">>> type (k)\n",
"< class 'int' >"
"k = 15\n",
"id (k)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"type (k)"
]
},
{
@@ -446,19 +448,46 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 14,
"metadata": {
"collapsed": false
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
">>> a = [ 1 , 2 ]\n",
">>> id (a)\n",
"47997336\n",
">>> a[ 1 ] = 3\n",
">>> a\n",
"[ 1 , 3 ]\n",
">>> id (a)"
"a = [1 ,2]\n",
"id (a)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"a[1] = 3\n",
"a"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"id(a)"
]
},
{
@@ -489,7 +518,25 @@
]
}
],
"metadata": {},
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}