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ischurov/Lesson05.ipynb

Created January 26, 2022 16:50
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Lesson05.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "formal-hacker",
"metadata": {},
"source": [
"## Наука о данных\n",
"### Совместный бакалавриат ВШЭ-РЭШ, 2021-2022 учебный год\n",
"_Илья Щуров_\n",
"\n",
"[Страница курса](http://math-info.hse.ru/s21/j)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "moving-stupid",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"123"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s = \"123\"\n",
"int(s)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "entertaining-requirement",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool(0)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "fifty-excess",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool(123)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "outdoor-sensitivity",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool(\"True\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "necessary-lotus",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool(\"False\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "sensitive-target",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool(\"\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "toxic-reason",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter word\n",
"That's empty!\n"
]
}
],
"source": [
"s = input(\"Enter word\")\n",
"if s == \"\":\n",
" print(\"That's empty!\")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "empty-saturday",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter word\n",
"That's empty!\n"
]
}
],
"source": [
"s = input(\"Enter word\")\n",
"if not s:\n",
" print(\"That's empty!\")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "toxic-analysis",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter some words, separated by whitespase: \n",
"We have no words!\n"
]
}
],
"source": [
"s = input(\"Enter some words, separated by whitespase: \")\n",
"words = s.split()\n",
"if len(words) > 0:\n",
" print(\"We have several words\")\n",
"else:\n",
" print(\"We have no words!\")"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "focal-salem",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter some words, separated by whitespase: hello\n",
"We have several words\n"
]
}
],
"source": [
"s = input(\"Enter some words, separated by whitespase: \")\n",
"words = s.split()\n",
"if words:\n",
" print(\"We have several words\")\n",
"else:\n",
" print(\"We have no words!\")"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "hundred-precipitation",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool([1, 2])"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "motivated-bench",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool([False])"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "forced-vegetarian",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bool([])"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "modern-natural",
"metadata": {},
"outputs": [
{
"ename": "ZeroDivisionError",
"evalue": "division by zero",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-21-9e1622b385b6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;36m1\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
]
}
],
"source": [
"1/0"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "native-saskatchewan",
"metadata": {},
"outputs": [],
"source": [
"x = \"Hello\" or (1/0)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "latest-recognition",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Hello'"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "small-reminder",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter your name: Ilya\n",
"Hello Ilya\n"
]
}
],
"source": [
"default_name = \"Anonymous\"\n",
"s = input(\"Enter your name: \")\n",
"name = s or default_name\n",
"print(\"Hello\", name)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "interstate-italian",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter your name: \n",
"Hello Anonymous\n"
]
}
],
"source": [
"default_name = \"Anonymous\"\n",
"s = input(\"Enter your name: \")\n",
"if s:\n",
" name = s\n",
"else:\n",
" name = default_name\n",
"print(\"Hello\", name)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "neutral-sharing",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello, World!\n"
]
}
],
"source": [
"print(\"Hello\", \"World\", sep=\", \", end=\"!\\n\")"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "prompt-elements",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"5040"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"n = 7\n",
"f = 1\n",
"for i in range(1, n + 1):\n",
" f = f * i\n",
"f"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "auburn-calvin",
"metadata": {},
"outputs": [],
"source": [
"def factorial(n):\n",
" f = 1\n",
" for i in range(1, n + 1):\n",
" f = f * i\n",
" return f"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "further-medication",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"5160"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"factorial(7) + factorial(5)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "changing-queen",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"6\n",
"100\n"
]
}
],
"source": [
"f = 100\n",
"def factorial(n):\n",
" f = 1\n",
" for i in range(1, n + 1):\n",
" f = f * i\n",
" return f\n",
"\n",
"print(factorial(3))\n",
"print(f)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "charged-machinery",
"metadata": {},
"outputs": [],
"source": [
"from math import sqrt"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "eleven-volunteer",
"metadata": {},
"outputs": [],
"source": [
"f = 100\n",
"def show_f():\n",
" print(f)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "fatty-bristol",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"100\n"
]
}
],
"source": [
"show_f()"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "illegal-season",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"15\n"
]
}
],
"source": [
"f = 15\n",
"show_f()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "advisory-reminder",
"metadata": {},
"outputs": [],
"source": [
"def show_a():\n",
" print(a)"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "animal-foundation",
"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-45-76387284371e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mshow_a\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<ipython-input-44-222f542d61a1>\u001b[0m in \u001b[0;36mshow_a\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mshow_a\u001b[0m\u001b[0;34m(\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[0;32m----> 2\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\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 'a' is not defined"
]
}
],
"source": [
"show_a()"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "billion-booth",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"123\n"
]
}
],
"source": [
"a = 123\n",
"show_a()"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "faced-penalty",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"10"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a = 10\n",
"def foo():\n",
" # print(a)\n",
" a = 12\n",
"foo()\n",
"a"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "regulated-decade",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 2, 3, 100]\n"
]
}
],
"source": [
"my_list = [1, 2, 3]\n",
"def add_element_to_my_list(x):\n",
" my_list.append(x)\n",
"add_element_to_my_list(100)\n",
"print(my_list)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "entitled-ecuador",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Russian\n"
]
}
],
"source": [
"language = \"English\"\n",
"def set_language(new_language):\n",
" global language\n",
" language = new_language\n",
"\n",
"set_language(\"Russian\")\n",
"print(language)"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "focal-government",
"metadata": {},
"outputs": [],
"source": [
"def say_42():\n",
" print(42)\n",
"\n",
"def return_42():\n",
" return 42"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "sound-spectrum",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"42\n"
]
}
],
"source": [
"say_42()"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "periodic-virginia",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"42"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"return_42()"
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "atmospheric-incidence",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"42\n"
]
}
],
"source": [
"x = say_42()"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "endless-survivor",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"None\n"
]
}
],
"source": [
"print(x)"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "sonic-bishop",
"metadata": {},
"outputs": [],
"source": [
"x"
]
},
{
"cell_type": "code",
"execution_count": 65,
"id": "banner-photographer",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 65,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"None == None"
]
},
{
"cell_type": "code",
"execution_count": 66,
"id": "helpful-bathroom",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"None == 1"
]
},
{
"cell_type": "code",
"execution_count": 68,
"id": "infectious-tension",
"metadata": {},
"outputs": [],
"source": [
"y = return_42()"
]
},
{
"cell_type": "code",
"execution_count": 69,
"id": "smooth-killing",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"42"
]
},
"execution_count": 69,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"y"
]
},
{
"cell_type": "code",
"execution_count": 70,
"id": "minor-adolescent",
"metadata": {},
"outputs": [],
"source": [
"def sum_3(x, y, z):\n",
" return x + y + z"
]
},
{
"cell_type": "code",
"execution_count": 71,
"id": "written-commercial",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"665"
]
},
"execution_count": 71,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sum_3(23, 100, 542)"
]
},
{
"cell_type": "code",
"execution_count": 72,
"id": "baking-chemistry",
"metadata": {},
"outputs": [],
"source": [
"def hello(first_name, last_name):\n",
" print(\"Hello\", first_name, last_name)"
]
},
{
"cell_type": "code",
"execution_count": 73,
"id": "resident-mortality",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello Harry Potter\n"
]
}
],
"source": [
"hello(\"Harry\", \"Potter\")"
]
},
{
"cell_type": "code",
"execution_count": 74,
"id": "external-banner",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello Harry Potter\n"
]
}
],
"source": [
"hello(first_name=\"Harry\", last_name=\"Potter\")"
]
},
{
"cell_type": "code",
"execution_count": 75,
"id": "regulation-orchestra",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello Harry Potter\n"
]
}
],
"source": [
"hello(last_name=\"Potter\", first_name=\"Harry\")"
]
},
{
"cell_type": "code",
"execution_count": 76,
"id": "civilian-differential",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello Harry Potter\n"
]
}
],
"source": [
"hello(\"Harry\", last_name=\"Potter\")"
]
},
{
"cell_type": "code",
"execution_count": 77,
"id": "material-albert",
"metadata": {},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "positional argument follows keyword argument (<ipython-input-77-97ad54a0d341>, line 1)",
"output_type": "error",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"<ipython-input-77-97ad54a0d341>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m hello(last_name=\"Potter\", \"Harry\")\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m positional argument follows keyword argument\n"
]
}
],
"source": [
"hello(last_name=\"Potter\", \"Harry\")"
]
},
{
"cell_type": "code",
"execution_count": 78,
"id": "stainless-satisfaction",
"metadata": {},
"outputs": [],
"source": [
"def hello(first_name, last_name, title=\"Mr\"):\n",
" print(\"Hello\", title, first_name, last_name)"
]
},
{
"cell_type": "code",
"execution_count": 79,
"id": "ambient-logging",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello Mr Harry Potter\n"
]
}
],
"source": [
"hello(\"Harry\", \"Potter\")"
]
},
{
"cell_type": "code",
"execution_count": 80,
"id": "indonesian-sodium",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello Prof. Severus Snape\n"
]
}
],
"source": [
"hello(\"Severus\", \"Snape\", \"Prof.\")"
]
},
{
"cell_type": "code",
"execution_count": 81,
"id": "least-genesis",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello Prof. Severus Snape\n"
]
}
],
"source": [
"hello(\"Severus\", \"Snape\", title=\"Prof.\")"
]
},
{
"cell_type": "code",
"execution_count": 82,
"id": "rising-mainstream",
"metadata": {},
"outputs": [],
"source": [
"def hello(first_name, last_name, title=\"Mr\"):\n",
" \"\"\"\n",
" Приветствует пользователя.\n",
" \n",
" Аргументы:\n",
" \n",
" first_name — имя пользователя\n",
" last_name — фамилия пользователя\n",
" title — обращение (по умолчанию \"Mr\")\n",
" \"\"\"\n",
" print(\"Hello\", title, first_name, last_name)"
]
},
{
"cell_type": "code",
"execution_count": 83,
"id": "immune-truck",
"metadata": {},
"outputs": [],
"source": [
"from matplotlib.pyplot import plot"
]
},
{
"cell_type": "code",
"execution_count": 85,
"id": "cross-potter",
"metadata": {},
"outputs": [],
"source": [
"??plot"
]
},
{
"cell_type": "code",
"execution_count": 87,
"id": "novel-purple",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "hello() takes from 2 to 3 positional arguments but 4 were given",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-87-06d92906cafd>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mhello\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Hello\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"Harry\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"Potter\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"Mr\"\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: hello() takes from 2 to 3 positional arguments but 4 were given"
]
}
],
"source": [
"hello(\"Hello\", \"Harry\", \"Potter\", \"Mr\")"
]
},
{
"cell_type": "code",
"execution_count": 86,
"id": "fuzzy-builder",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2 5 100 54 Hello\n"
]
}
],
"source": [
"print(2, 5, 100, 54, \"Hello\")"
]
},
{
"cell_type": "code",
"execution_count": 92,
"id": "particular-staff",
"metadata": {},
"outputs": [],
"source": [
"def foo(*args):\n",
" print(type(args))\n",
" print(args)"
]
},
{
"cell_type": "code",
"execution_count": 93,
"id": "vocal-fever",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'tuple'>\n",
"(3, 4, 5, 100, 'Hello')\n"
]
}
],
"source": [
"foo(3, 4, 5, 100, \"Hello\")"
]
},
{
"cell_type": "code",
"execution_count": 108,
"id": "comfortable-criminal",
"metadata": {},
"outputs": [],
"source": [
"def hello(first_name, last_name, *middlenames, title, **kwargs):\n",
" print(\"Hello\", title, first_name, end=\" \")\n",
" for middlename in middlenames:\n",
" print(middlename, end=\" \")\n",
" print(last_name)"
]
},
{
"cell_type": "code",
"execution_count": 102,
"id": "north-being",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello Prof. Albus Percival Wulfric Brian Dumbledore\n"
]
}
],
"source": [
"hello(\"Albus\", \"Dumbledore\", \"Percival\", \"Wulfric\", \"Brian\", title=\"Prof.\")"
]
},
{
"cell_type": "code",
"execution_count": 103,
"id": "accessory-jacket",
"metadata": {},
"outputs": [],
"source": [
"def sum_2d_vectors(u, v):\n",
" return (u[0] + v[0], u[1] + v[1])"
]
},
{
"cell_type": "code",
"execution_count": 105,
"id": "gorgeous-justice",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(5, 7)"
]
},
"execution_count": 105,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sum_2d_vectors((1, 4), (4, 3))"
]
},
{
"cell_type": "code",
"execution_count": 109,
"id": "injured-excess",
"metadata": {},
"outputs": [],
"source": [
"names = (\"Albus\", \"Percival\", \"Wulfric\", \"Dumbledore\")"
]
},
{
"cell_type": "code",
"execution_count": 110,
"id": "relevant-adoption",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"('Albus', 'Percival', 'Wulfric', 'Dumbledore')\n"
]
}
],
"source": [
"print(names)"
]
},
{
"cell_type": "code",
"execution_count": 111,
"id": "wrong-external",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Albus Percival Wulfric Dumbledore\n"
]
}
],
"source": [
"print(\" \".join(names))"
]
},
{
"cell_type": "code",
"execution_count": 112,
"id": "digital-execution",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Albus Percival Wulfric Dumbledore\n"
]
}
],
"source": [
"print(*names)"
]
},
{
"cell_type": "code",
"execution_count": 113,
"id": "curious-sally",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 2 3\n"
]
}
],
"source": [
"print(*[1, 2, 3])"
]
},
{
"cell_type": "code",
"execution_count": 114,
"id": "honest-motivation",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 2 3\n"
]
}
],
"source": [
"print(1, 2, 3)"
]
},
{
"cell_type": "code",
"execution_count": 115,
"id": "mechanical-cameroon",
"metadata": {},
"outputs": [],
"source": [
"def foo(x, y, z):\n",
" print(\"x =\", x)\n",
" print(\"y =\", y)\n",
" print(\"z =\", z)"
]
},
{
"cell_type": "code",
"execution_count": 116,
"id": "greenhouse-auckland",
"metadata": {},
"outputs": [],
"source": [
"point3d = (1, 5, 3)"
]
},
{
"cell_type": "code",
"execution_count": 117,
"id": "fiscal-official",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "foo() missing 2 required positional arguments: 'y' and 'z'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-117-bb93431d9ef7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfoo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint3d\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: foo() missing 2 required positional arguments: 'y' and 'z'"
]
}
],
"source": [
"foo(point3d)"
]
},
{
"cell_type": "code",
"execution_count": 118,
"id": "optional-lemon",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"x = 1\n",
"y = 5\n",
"z = 3\n"
]
}
],
"source": [
"foo(*point3d)"
]
},
{
"cell_type": "code",
"execution_count": 119,
"id": "advance-pilot",
"metadata": {},
"outputs": [],
"source": [
"x, y, z = [1, 2, 3]"
]
},
{
"cell_type": "code",
"execution_count": 120,
"id": "outstanding-crystal",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1"
]
},
"execution_count": 120,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x"
]
},
{
"cell_type": "code",
"execution_count": 121,
"id": "addressed-copyright",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2"
]
},
"execution_count": 121,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"y"
]
},
{
"cell_type": "code",
"execution_count": 122,
"id": "impressive-prime",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 122,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"z"
]
},
{
"cell_type": "code",
"execution_count": 124,
"id": "dynamic-eugene",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('Albus', 'Percival', 'Wulfric', 'Dumbledore')"
]
},
"execution_count": 124,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"names"
]
},
{
"cell_type": "code",
"execution_count": 125,
"id": "cleared-decade",
"metadata": {},
"outputs": [],
"source": [
"first_name, *middle_names, last_name = names"
]
},
{
"cell_type": "code",
"execution_count": 126,
"id": "affected-parts",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Albus'"
]
},
"execution_count": 126,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"first_name"
]
},
{
"cell_type": "code",
"execution_count": 127,
"id": "special-sellers",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Dumbledore'"
]
},
"execution_count": 127,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"last_name"
]
},
{
"cell_type": "code",
"execution_count": 128,
"id": "behavioral-envelope",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Percival', 'Wulfric']"
]
},
"execution_count": 128,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"middle_names"
]
},
{
"cell_type": "code",
"execution_count": 129,
"id": "spare-lunch",
"metadata": {},
"outputs": [],
"source": [
"first_name = names[0]\n",
"last_name = names[-1]\n",
"middle_names = names[1:-1]"
]
},
{
"cell_type": "code",
"execution_count": 130,
"id": "indie-header",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('Percival', 'Wulfric')"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"middle_names"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "sacred-secondary",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"gist": {
"data": {
"description": "Lesson05.ipynb",
"public": false
},
"id": ""
},
"kernelspec": {
"display_name": "Python 3.9 (system)",
"language": "python",
"name": "py39_system"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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