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This commit is contained in:
Sergey Lemeshevsky
2020-03-18 21:39:35 +03:00
parent 7dba740376
commit 6a3c918bdc
24 changed files with 4029 additions and 810 deletions
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656
Untitled.ipynb
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@@ -1,656 +0,0 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
" 10\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"100\n"
]
}
],
"source": [
"%run src-intro/test.py"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/home/svl/Projects/Doconce/python-course/ipynb'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%pwd"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/svl/Projects/Doconce/python-course/ipynb/src-intro\n"
]
}
],
"source": [
"%cd src-intro"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello from Python!\n"
]
}
],
"source": [
"%run hello.py"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n"
]
}
],
"source": [
"%run fib.py"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"range(0, 5)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"range(5)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<generator object <genexpr> at 0x7f65857f9c80>\n"
]
}
],
"source": [
"print(i for i in range(5))"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\u001b[0;31mInit signature:\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m/\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mDocstring:\u001b[0m \n",
"range(stop) -> range object\n",
"range(start, stop[, step]) -> range object\n",
"\n",
"Return an object that produces a sequence of integers from start (inclusive)\n",
"to stop (exclusive) by step. range(i, j) produces i, i+1, i+2, ..., j-1.\n",
"start defaults to 0, and stop is omitted! range(4) produces 0, 1, 2, 3.\n",
"These are exactly the valid indices for a list of 4 elements.\n",
"When step is given, it specifies the increment (or decrement).\n",
"\u001b[0;31mType:\u001b[0m type\n",
"\u001b[0;31mSubclasses:\u001b[0m \n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"range?"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[10, 8, 6, 4, 2]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"list(range(10,1, -2))"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 1, 2, 3, 5, 8, 13, 21, 34, 55]\n"
]
}
],
"source": [
"%run fib.py"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "can't multiply sequence by non-int of type 'float'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-25-da4664af34ee>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m~/Projects/Doconce/python-course/ipynb/src-intro/fib.py\u001b[0m in \u001b[0;36mfib\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m 5\u001b[0m \"\"\"\n\u001b[1;32m 6\u001b[0m \u001b[0mf0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mf0\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mf1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mTypeError\u001b[0m: can't multiply sequence by non-int of type 'float'"
]
}
],
"source": [
"fib(1.0)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"> \u001b[0;32m/home/svl/Projects/Doconce/python-course/ipynb/src-intro/fib.py\u001b[0m(7)\u001b[0;36mfib\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32m 5 \u001b[0;31m \"\"\"\n",
"\u001b[0m\u001b[0;32m 6 \u001b[0;31m \u001b[0mf0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[0;32m----> 7 \u001b[0;31m \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[0;32m 8 \u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[0;32m 9 \u001b[0;31m \u001b[0mf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mf0\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mf1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0m\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"ipdb> f\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"*** NameError: name 'f' is not defined\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"ipdb> f01\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"*** NameError: name 'f01' is not defined\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"ipdb> f0\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"ipdb> f1\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"ipdb> n\n"
]
}
],
"source": [
"%debug"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1]"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1, 1, 1, 1]"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a*4"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1]"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1, 1, 2]"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fib(3)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Once deleted, variables cannot be recovered. Proceed (y/[n])? y\n"
]
}
],
"source": [
"%reset"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'a' 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-30-3f786850e387>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mNameError\u001b[0m: name 'a' is not defined"
]
}
],
"source": [
"a"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'fib' 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-31-252d5fa3ed3f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m4\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 'fib' is not defined"
]
}
],
"source": [
"fib(4)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 1, 2, 3, 5, 8, 13, 21, 34, 55]\n"
]
}
],
"source": [
"%run fib.py"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"8.35 µs ± 194 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n"
]
}
],
"source": [
"%timeit fib(100)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 84 µs, sys: 0 ns, total: 84 µs\n",
"Wall time: 98.5 µs\n"
]
}
],
"source": [
"result = %time fib(100)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1,\n",
" 1,\n",
" 2,\n",
" 3,\n",
" 5,\n",
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" 354224848179261915075]"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"result"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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": 4
}

2
collections.ipynb
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@@ -10,7 +10,7 @@
"<!-- Author: --> \n", "<!-- Author: --> \n",
"**С.В. Лемешевский** (email: `sergey.lemeshevsky@gmail.com`), Институт математики НАН Беларуси\n", "**С.В. Лемешевский** (email: `sergey.lemeshevsky@gmail.com`), Институт математики НАН Беларуси\n",
"\n", "\n",
"Date: **Mar 8, 2020**\n", "Date: **Mar 18, 2020**\n",
"\n", "\n",
"<!-- Common Mako variable and functions -->\n", "<!-- Common Mako variable and functions -->\n",
"<!-- -*- coding: utf-8 -*- -->\n", "<!-- -*- coding: utf-8 -*- -->\n",

2
datatype.ipynb
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@@ -10,7 +10,7 @@
"<!-- Author: --> \n", "<!-- Author: --> \n",
"**С.В. Лемешевский** (email: `sergey.lemeshevsky@gmail.com`), Институт математики НАН Беларуси\n", "**С.В. Лемешевский** (email: `sergey.lemeshevsky@gmail.com`), Институт математики НАН Беларуси\n",
"\n", "\n",
"Date: **Mar 4, 2020**\n", "Date: **Mar 18, 2020**\n",
"\n", "\n",
"<!-- Common Mako variable and functions -->\n", "<!-- Common Mako variable and functions -->\n",
"<!-- -*- coding: utf-8 -*- -->\n", "<!-- -*- coding: utf-8 -*- -->\n",

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184
intro.ipynb
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@@ -10,7 +10,7 @@
"<!-- Author: --> \n", "<!-- Author: --> \n",
"**С.В. Лемешевский** (email: `sergey.lemeshevsky@gmail.com`), Институт математики НАН Беларуси\n", "**С.В. Лемешевский** (email: `sergey.lemeshevsky@gmail.com`), Институт математики НАН Беларуси\n",
"\n", "\n",
"Date: **Feb 26, 2020**\n", "Date: **Mar 18, 2020**\n",
"\n", "\n",
"<!-- Common Mako variable and functions -->\n", "<!-- Common Mako variable and functions -->\n",
"<!-- -*- coding: utf-8 -*- -->\n", "<!-- -*- coding: utf-8 -*- -->\n",
@@ -354,10 +354,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": 1,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -430,10 +427,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": 2,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -556,10 +550,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 3,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
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@@ -669,10 +660,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": 4,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -760,10 +748,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": 5,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -774,10 +759,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 6, "execution_count": 6,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -788,10 +770,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 7, "execution_count": 7,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -802,10 +781,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 8, "execution_count": 8,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -816,10 +792,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": 9,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -845,10 +818,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 10, "execution_count": 10,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -859,10 +829,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 11, "execution_count": 11,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -873,10 +840,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 12, "execution_count": 12,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -887,10 +851,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 13, "execution_count": 13,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -940,10 +901,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 14, "execution_count": 14,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
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@@ -954,10 +912,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 15, "execution_count": 15,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -988,10 +943,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 16, "execution_count": 16,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
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@@ -1015,10 +967,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 17, "execution_count": 17,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
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@@ -1029,10 +978,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 18, "execution_count": 18,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -1043,10 +989,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 19, "execution_count": 19,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -1065,10 +1008,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 20, "execution_count": 20,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
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@@ -1079,10 +1019,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 21, "execution_count": 21,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
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@@ -1114,10 +1051,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 22, "execution_count": 22,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -1157,10 +1091,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 23, "execution_count": 23,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
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@@ -1212,10 +1143,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 24, "execution_count": 24,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
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@@ -1226,10 +1154,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 25, "execution_count": 25,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -1240,10 +1165,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 26, "execution_count": 26,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
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@@ -1284,10 +1206,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 27, "execution_count": 27,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
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@@ -1311,10 +1230,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 28, "execution_count": 28,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
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@@ -1384,10 +1300,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 29, "execution_count": 29,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
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@@ -1398,10 +1311,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 30, "execution_count": 30,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
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@@ -1432,10 +1342,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 31, "execution_count": 31,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
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@@ -1463,10 +1370,7 @@
"cell_type": "code", "cell_type": "code",
"execution_count": 32, "execution_count": 32,
"metadata": { "metadata": {
"collapsed": false, "collapsed": false
"jupyter": {
"outputs_hidden": false
}
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
@@ -2229,25 +2133,7 @@
] ]
} }
], ],
"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": 4,
"nbformat_minor": 4 "nbformat_minor": 2
} }

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numpy.ipynb Normal file
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102
src-collections/generate_usernames_ans.py Executable file
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@@ -0,0 +1,102 @@
#!/usr/bin/env python3
# Copyright (c) 2008-11 Qtrac Ltd. All rights reserved.
# This program or module is free software: you can redistribute it and/or
# modify it under the terms of the GNU General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version. It is provided for educational
# purposes and is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
import collections
import sys
ID, FORENAME, MIDDLENAME, SURNAME, DEPARTMENT = range(5)
User = collections.namedtuple("User",
"username forename middlename surname id")
def main():
if len(sys.argv) == 1 or sys.argv[1] in {"-h", "--help"}:
print("usage: {0} file1 [file2 [... fileN]]".format(
sys.argv[0]))
sys.exit()
usernames = set()
users = {}
for filename in sys.argv[1:]:
with open(filename, encoding="utf8") as file:
for line in file:
line = line.rstrip()
if line:
user = process_line(line, usernames)
users[(user.surname.lower(), user.forename.lower(),
user.id)] = user
print_users(users)
def process_line(line, usernames):
fields = line.split(":")
username = generate_username(fields, usernames)
user = User(username, fields[FORENAME], fields[MIDDLENAME],
fields[SURNAME], fields[ID])
return user
def generate_username(fields, usernames):
username = ((fields[FORENAME][0] + fields[MIDDLENAME][:1] +
fields[SURNAME]).replace("-", "").replace("'", ""))
username = original_name = username[:8].lower()
count = 1
while username in usernames:
username = "{0}{1}".format(original_name, count)
count += 1
usernames.add(username)
return username
def by_surname_forename(user):
return user.surname.lower(), user.forename.lower(), user.id
def print_users(users):
namewidth = 17
usernamewidth = 9
columngap = " " * 2
headline1 = "{0:<{nw}} {1:^6} {2:{uw}}".format("Name", "ID",
"Username", nw=namewidth, uw=usernamewidth)
headline2 = "{0:-<{nw}} {0:-<6} {0:-<{uw}}".format("",
nw=namewidth, uw=usernamewidth)
header = (headline1 + columngap + headline1 + "\n" +
headline2 + columngap + headline2)
lines = []
for key in sorted(users):
user = users[key]
initial = ""
if user.middlename:
initial = " " + user.middlename[0]
name = "{0.surname}, {0.forename}{1}".format(user, initial)
lines.append("{0:.<{nw}.{nw}} ({1.id:4}) "
"{1.username:{uw}}".format(name, user,
nw=namewidth, uw=usernamewidth))
lines_per_page = 64
lino = 0
for left, right in zip(lines[::2], lines[1::2]):
if lino == 0:
print(header)
print(left + columngap + right)
lino += 1
if lino == lines_per_page:
print("\f")
lino = 0
if lines[-1] != right:
print(lines[-1])
main()

80
src-datatype/.ipynb_checkpoints/csv2html-checkpoint.py~ Normal file
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@@ -0,0 +1,80 @@
# -*- coding: utf-8 -*-
def main():
maxwidth = 100
print_start()
count = 0
while True:
try:
line = input()
if count == 0:
color = "lightgreen"
elif count % 2:
color = "white"
else:
color = "lightyellow"
print_line(line, color, maxwidth)
count += 1
except EOFError:
break
print_end()
def print_start():
print("<table border='1'>")
def print_end():
print("</table>")
def print_line(line, color, maxwidth):
print("<tr bgcolor='{0}'>".format(color))
fields = extract_fields(line)
for field in fields:
if not field:
print("<td></td>")
else:
number = field.replace(",", "")
try:
x = float(number)
print("<td align='right'>{0:d}</td>".format(round(x)))
except ValueError:
field = field.title()
field = field.replace(" And ", " and ")
field = escape_html(field)
if len(field) <= maxwidth:
print("<td>{0}</td>".format(field))
else:
print("<td>{0:.{1}} ...</td>".format(field, maxwidth))
print("</tr>")
def extract_fields(line):
fields = []
field = ""
quote = None
for c in line:
if c in "\"'":
if quote is None: # начало строки в кавычках
quote = c
elif quote == c: # конец строки в кавычках
quote = None
else:
field += c
# другая кавычка внутри строки в кавычках
continue
if quote is None and c == ",": # end of a field
fields.append(field)
field = ""
else:
field += c
# добавить символ в поле
if field:
fields.append(field) # добавить последнее поле в список
return fields
def escape_html(text):
text = text.replace("&", "&amp;")
text = text.replace("<", "&lt;")
text = text.replace(">", "&gt;")
return text
main()

33
src-datatype/.ipynb_checkpoints/print_unicode-checkpoint.py~ Normal file
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@@ -0,0 +1,33 @@
# -*- coding: utf-8 -*-
import sys
import unicodedata
def print_unicode_table(word):
print("decimal hex chr {0:^40}".format("name"))
print("------- ----- --- {0:-<40}".format(""))
code = ord(" ")
end = sys.maxunicode
while code < end:
c = chr(code)
name = unicodedata.name(c, "*** unknown ***")
if word is None or word in name.lower():
print("{0:7} {0:5X} {0:^3c} {1}".format(code, name.title()))
code += 1
# End print_unicode_table
# Start main script
word = None
if len(sys.argv) > 1:
if sys.argv[1] in ("-h", "--help"):
print("usage: {0} [string]".format(sys.argv[0]))
word = 0
else:
word = sys.argv[1].lower()
if word != 0:
print_unicode_table(word)
#End main script

50
src-datatype/.ipynb_checkpoints/quadratic-checkpoint.py~ Normal file
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@@ -0,0 +1,50 @@
# -*- coding: utf-8 -*-
import cmath
import math
import sys
# Start get_float
def get_float(msg, allow_zero):
x = None
while x is None:
try:
x = float(input(msg))
if not allow_zero and abs(x) < sys.float_info.epsilon:
print("zero is not allowed")
x = None
except ValueError as err:
print(err)
return x
# End get_float
# Start 1st block
print("ax\N{SUPERSCRIPT TWO} + bx + c = 0")
a = get_float("enter a: ", False)
b = get_float("enter b: ", False)
c = get_float("enter c: ", False)
# End 1st block
# Start 2d block
x1 = None
x2 = None
discriminant = (b ** 2) - (4 * a * c)
if discriminant == 0:
x1 = -(b / (2 * a))
else:
if discriminant > 0:
root = math.sqrt(discriminant)
else: # discriminant < 0
root = cmath.sqrt(discriminant)
x1 = (-b + root) / (2 * a)
x2 = (-b - root) / (2 * a)
# End 2d block
# Start 3d block
equation = ("{0}x\N{SUPERSCRIPT TWO} + {1}x + {2} = 0"
" \N{RIGHTWARDS ARROW} x = {3}").format(a, b, c, x1)
if x2 is not None:
equation += " or x = {0}".format(x2)
print(equation)
# End 3d block

1
src-datatype/csv2html.py
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@@ -76,5 +76,4 @@ def escape_html(text):
text = text.replace(">", "&gt;") text = text.replace(">", "&gt;")
return text return text
main() main()

0
src-intro/.ipynb_checkpoints/fib-checkpoint.py → src-intro/.ipynb_checkpoints/fib-checkpoint.py~
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0
src-intro/.ipynb_checkpoints/hello-checkpoint.py → src-intro/.ipynb_checkpoints/hello-checkpoint.py~
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0
src-intro/.ipynb_checkpoints/test-checkpoint.py → src-intro/.ipynb_checkpoints/test-checkpoint.py~
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8
src-numpy/random_walk_numpy.py Normal file
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@@ -0,0 +1,8 @@
# -*- coding: utf-8 -*-
import numpy as np
nsteps = 1000
draws = np.random.randint(0, 2, size=nsteps)
steps = np.where(draws > 0, 1, -1)
walk = steps.cumsum()

17
src-numpy/random_walk_pure.py Normal file
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@@ -0,0 +1,17 @@
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import random
position = 0
walk = [position]
steps = 1000
for i in range(100):
step = 1 if random.randint(0, 1) else -1
position += step
walk.append(position)
plt.plot(walk[:100])
plt.savefig('numpy-3.png')

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