feat: 新增技能扩展 N3 一章相关示例源码
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100gle
304
code/newsletter/N3/itertools.ipynb
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304
code/newsletter/N3/itertools.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# chain"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 32,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[['The', 'Zen', 'of', 'Python,', 'by', 'Tim', 'Peters'],\n",
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" ['Beautiful', 'is', 'better', 'than', 'ugly.'],\n",
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" ['Explicit', 'is', 'better', 'than', 'implicit.'],\n",
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" ['Simple', 'is', 'better', 'than', 'complex.'],\n",
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" ['Complex', 'is', 'better', 'than', 'complicated.'],\n",
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" ['Flat', 'is', 'better', 'than', 'nested.'],\n",
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" ['Sparse', 'is', 'better', 'than', 'dense.'],\n",
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" ['Readability', 'counts.'],\n",
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" ['Special',\n",
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" 'cases',\n",
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" \"aren't\",\n",
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" 'special',\n",
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" 'enough',\n",
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" 'to',\n",
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" 'break',\n",
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" 'the',\n",
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" 'rules.']]"
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]
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},
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"execution_count": 32,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from itertools import chain\n",
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"poem = \"\"\"\n",
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"The Zen of Python, by Tim Peters\n",
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"Beautiful is better than ugly.\n",
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"Explicit is better than implicit.\n",
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"Simple is better than complex.\n",
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"Complex is better than complicated.\n",
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"Flat is better than nested.\n",
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"Sparse is better than dense.\n",
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"Readability counts.\n",
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"Special cases aren't special enough to break the rules.\n",
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"Although practicality beats purity.\n",
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"Errors should never pass silently.\n",
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"Unless explicitly silenced.\n",
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"In the face of ambiguity, refuse the temptation to guess.\n",
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"There should be one-- and preferably only one --obvious way to do it.\n",
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"Although that way may not be obvious at first unless you're Dutch.\n",
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"Now is better than never.\n",
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"Although never is often better than *right* now.\n",
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"If the implementation is hard to explain, it's a bad idea.\n",
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"If the implementation is easy to explain, it may be a good idea.\n",
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"Namespaces are one honking great idea -- let's do more of those!\n",
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"\"\"\"\n",
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"\n",
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"split = [line.split() for line in poem.splitlines()]\n",
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"split[1:10]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['Zen', 'of', 'Python,', 'by', 'Tim', 'Peters', 'Beautiful', 'is', 'better']"
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]
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},
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"execution_count": 33,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"words = list(chain(*[elem for elem in split if elem]))\n",
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"words[1:10]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['Zen', 'of', 'Python,', 'by', 'Tim', 'Peters', 'Beautiful', 'is', 'better']"
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]
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},
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"execution_count": 34,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"words = list(chain.from_iterable(split))\n",
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"words[1:10]"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# permutations、product"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"1320"
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]
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},
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"execution_count": 35,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from itertools import permutations\n",
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"uppers = \"ABCD\"\n",
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"lowers = uppers.lower()\n",
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"numbers = \"1234\"\n",
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"elements = [*uppers, *lowers, *numbers]\n",
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"\n",
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"pairs = list(permutations(elements, 3))\n",
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"len(pairs)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[('A', 'B', 'D'),\n",
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" ('A', 'B', 'a'),\n",
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" ('A', 'B', 'b'),\n",
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" ('A', 'B', 'c'),\n",
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" ('A', 'B', 'd'),\n",
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" ('A', 'B', '1'),\n",
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" ('A', 'B', '2'),\n",
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" ('A', 'B', '3'),\n",
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" ('A', 'B', '4')]"
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]
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},
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"execution_count": 36,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"pairs[1:10]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 37,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[('A', 'b'),\n",
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" ('A', 'c'),\n",
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" ('A', 'd'),\n",
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" ('B', 'a'),\n",
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" ('B', 'b'),\n",
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" ('B', 'c'),\n",
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" ('B', 'd'),\n",
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" ('C', 'a'),\n",
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" ('C', 'b')]"
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]
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},
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"execution_count": 37,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from itertools import product\n",
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"\n",
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"pairs = list(product(uppers, lowers))\n",
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"pairs[1:10]"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## repeat、cycle"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 38,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['ABCD', 'ABCD', 'ABCD']"
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]
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},
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"execution_count": 38,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from itertools import repeat\n",
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"uppers = \"ABCD\"\n",
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"\n",
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"more = list(repeat(uppers, times=3))\n",
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"more"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 39,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"['A', 'B', 'C', 'D', 'A', 'B']\n"
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]
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}
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],
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"source": [
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"from itertools import cycle\n",
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"\n",
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"uppers = \"ABCD\"\n",
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"more = cycle(uppers)\n",
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"counter = 0\n",
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"result = []\n",
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"\n",
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"for letter in more:\n",
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" if counter <= 5:\n",
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" result.append(letter)\n",
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" counter += 1\n",
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" continue\n",
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" break\n",
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"\n",
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"print(result)\n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.9.0 ('pandas-startup')",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.0"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "13977d4cc82dee5f9d9535ceb495bd0ab12a43c33c664e5f0d53c24cf634b67f"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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