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python functions #936

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328 changes: 328 additions & 0 deletions Project/builtin_functions.ipynb
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Original file line number Diff line number Diff line change
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# builtin methods <a href='https://docs.python.org/3/library/functions.html'>[doc]</a>\n",
"- statistics\n",
" - len()\n",
" - max()\n",
" - min()\n",
" - sum()\n",
"- utility\n",
" - sorted()\n",
" - reversed()\n",
" - eval()\n",
" - exec()\n",
"- operate on iterable\n",
" - all()\n",
" - any()\n",
" - enumerate()\n",
" - zip()\n",
" - filter()\n",
" - map()\n",
"- type conversion\n",
" - int()\n",
" - float()\n",
" - str()\n",
" - list()\n",
" - tuple()\n",
" - dict()\n",
" - set()\n",
" - bool()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"x = ['A','N','B','A','C','Z','D','E']\n",
"y = \"this is an example string\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sorted(x)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(sorted(y))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sorted(x, reverse=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sorted(y.split(), reverse=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"z = 'we are working on an Encyclopedia in which there will be stuff'\n",
"sorted(z.split(), key=len)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"reversed(z) # lazy object"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\"\".join(list(reversed(z))) # not the best way to reverse a string"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"z[::-1]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"x = [1,1,1,11,1]\n",
"print(all(x))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"z =['this','is', '', 'example', 'string']\n",
"print(all(z))\n",
"print(any(z))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"x = [0,0,1,0,0]\n",
"print(any(x))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- math functions\n",
"\n",
"`f(x) = x**2 + x + 10`\n",
"\n",
"`f(5)`\n",
"\n",
"`g(x, y) = x**2 + y**2 + x*y + 10`\n",
"\n",
"`g(2,3)`"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"f = lambda i : i**2\n",
"print(f)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"f(25)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"f = lambda x: x**2 + x + 10\n",
"print(f(10))\n",
"print(f(15))\n",
"print(f(25))\n",
"print(f(11))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"data = [12,45,5,17,89,124,32,15,16]\n",
"for val in data:\n",
" print(f(val))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# map(function, iterable)\n",
"list(map(f, data)) # lazy object"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"nums =['1', '100', '300', '599']\n",
"clean_list = map(lambda i: int(i), nums)\n",
"print(list(clean_list))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"clean_list = map(int, nums)\n",
"print(list(clean_list))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"nums = [1,2,0,1,0,2,2,2,2,0,3,3,0,3,1,0,0,2,2,3,3]\n",
"list(filter(lambda i: i != 0, nums))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"isinstance(x, list)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"isinstance(x, (int, float))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"isinstance(x, (list, tuple))"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[6, 14, 24, 36, 50]"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x = [1,2,3,4,5]\n",
"y = [6,7,8,9,10]\n",
"list(map(lambda i, j: i*j, x, y))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"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": "3.11.5"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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