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這篇文章主要介紹“Python實(shí)戰(zhàn)項(xiàng)目代碼練習(xí)題有哪些”,在日常操作中,相信很多人在Python實(shí)戰(zhàn)項(xiàng)目代碼練習(xí)題有哪些問題上存在疑惑,小編查閱了各式資料,整理出簡單好用的操作方法,希望對大家解答”Python實(shí)戰(zhàn)項(xiàng)目代碼練習(xí)題有哪些”的疑惑有所幫助!接下來,請跟著小編一起來學(xué)習(xí)吧!
from selenium import webdriver import time import urllib.request driver = webdriver.Chrome() driver.maximize_window() driver.get("https://www.zhihu.com/question/29134042") i = 0 while i < 10: driver.execute_script("window.scrollTo(0, document.body.scrollHeight);") time.sleep(2) try: driver.find_element_by_css_selector('button.QuestionMainAction').click() print("page" + str(i)) time.sleep(1) except: break result_raw = driver.page_source content_list = re.findall("img src=\"(.+?)\" ", str(result_raw)) n = 0 while n < len(content_list): i = time.time() local = (r"%s.jpg" % (i)) urllib.request.urlretrieve(content_list[n], local) print("編號:" + str(i)) n = n + 1
from time import sleep import requests s = input("請主人輸入話題:") while True: resp = requests.post("http://www.tuling123.com/openapi/api",data={"key":"4fede3c4384846b9a7d0456a5e1e2943", "info": s, }) resp = resp.json() sleep(1) print('小魚:', resp['text']) s = resp['text'] resp = requests.get("http://api.qingyunke.com/api.php", {'key': 'free', 'appid':0, 'msg': s}) resp.encoding = 'utf8' resp = resp.json() sleep(1) print('菲菲:', resp['content']) #網(wǎng)上還有一個(gè)據(jù)說智商比較高的小i機(jī)器人,用爬蟲的功能來實(shí)現(xiàn)一下: import urllib.request import re while True: x = input("主人:") x = urllib.parse.quote(x) link = urllib.request.urlopen( "http://nlp.xiaoi.com/robot/webrobot?&callback=__webrobot_processMsg&data=%7B%22sessionId%22%3A%22ff725c236e5245a3ac825b2dd88a7501%22%2C%22robotId%22%3A%22webbot%22%2C%22userId%22%3A%227cd29df3450745fbbdcf1a462e6c58e6%22%2C%22body%22%3A%7B%22content%22%3A%22" + x + "%22%7D%2C%22type%22%3A%22txt%22%7D") html_doc = link.read().decode() reply_list = re.findall(r'\"content\":\"(.+?)\\r\\n\"', html_doc) print("小i:" + reply_list[-1])
import jieba from nltk.classify import NaiveBayesClassifier # 需要提前把李白的詩收集一下,放在libai.txt文本中。 text1 = open(r"libai.txt", "rb").read() list1 = jieba.cut(text1) result1 = " ".join(list1) # 需要提前把杜甫的詩收集一下,放在dufu.txt文本中。 text2 = open(r"dufu.txt", "rb").read() list2 = jieba.cut(text2) result2 = " ".join(list2) # 數(shù)據(jù)準(zhǔn)備 libai = result1 dufu = result2 # 特征提取 def word_feats(words): return dict([(word, True) for word in words]) libai_features = [(word_feats(lb), 'lb') for lb in libai] dufu_features = [(word_feats(df), 'df') for df in dufu] train_set = libai_features + dufu_features # 訓(xùn)練決策 classifier = NaiveBayesClassifier.train(train_set) # 分析測試 sentence = input("請輸入一句你喜歡的詩:") print("\n") seg_list = jieba.cut(sentence) result1 = " ".join(seg_list) words = result1.split(" ") # 統(tǒng)計(jì)結(jié)果 lb = 0 df = 0 for word in words: classResult = classifier.classify(word_feats(word)) if classResult == 'lb': lb = lb + 1 if classResult == 'df': df = df + 1 # 呈現(xiàn)比例 x = float(str(float(lb) / len(words))) y = float(str(float(df) / len(words))) print('李白的可能性:%.2f%%' % (x * 100)) print('杜甫的可能性:%.2f%%' % (y * 100))
import random temp = [i + 1 for i in range(35)] random.shuffle(temp) i = 0 list = [] while i < 7: list.append(temp[i]) i = i + 1 list.sort() print('\033[0;31;;1m') print(*list[0:6], end="") print('\033[0;34;;1m', end=" ") print(list[-1])
import random import xlrd ExcelFile = xlrd.open_workbook(r'test.xlsx') sheet = ExcelFile.sheet_by_name('Sheet1') i = [] x = input("請輸入具體事件:") y = int(input("老師要求的字?jǐn)?shù):")) while len(str(i)) < y * 1.2: s = random.randint(1, 60) rows = sheet.row_values(s) i.append(*rows) print(" "*8+"檢討書"+"\n"+"老師:") print("我不應(yīng)該" + str(x)+",", *i) print("再次請老師原諒!") '''
以下是樣稿:
請輸入具體事件:抽煙
老師要求的字?jǐn)?shù):200
檢討書老師:
我不應(yīng)該抽煙, 學(xué)校一開學(xué)就三令五申,一再強(qiáng)調(diào)校規(guī)校紀(jì),提醒學(xué)生不要違反校規(guī),可我卻沒有把學(xué)校和老師的話放在心上,沒有重視老師說的話,沒有重視學(xué)校頒布的重要事項(xiàng),當(dāng)成了耳旁風(fēng),這些都是不應(yīng)該的。同時(shí)也真誠地希望老師能繼續(xù)關(guān)心和支持我,并卻對我的問題酌情處理。 無論在學(xué)習(xí)還是在別的方面我都會用校規(guī)來嚴(yán)格要求自己,我會把握這次機(jī)會。 但事實(shí)證明,僅僅是熱情投入、刻苦努力、鉆研學(xué)業(yè)是不夠的,還要有清醒的政治頭腦、大局意識和紀(jì)律觀念,否則就會在學(xué)習(xí)上迷失方向,使國家和學(xué)校受損失。
再次請老師原諒!
'''
from time import sleep from PIL import ImageGrab m = int(input("請輸入想抓屏幾分鐘:")) m = m * 60 n = 1 while n < m: sleep(0.02) im = ImageGrab.grab() local = (r"%s.jpg" % (n)) im.save(local, 'jpeg') n = n + 1
from PIL import Image im = Image.open("1.jpg") images = [] images.append(Image.open('2.jpg')) images.append(Image.open('3.jpg')) im.save('gif.gif', save_all=True, append_images=images, loop=1, duration=1, comment=b"aaab
到此,關(guān)于“Python實(shí)戰(zhàn)項(xiàng)目代碼練習(xí)題有哪些”的學(xué)習(xí)就結(jié)束了,希望能夠解決大家的疑惑。理論與實(shí)踐的搭配能更好的幫助大家學(xué)習(xí),快去試試吧!若想繼續(xù)學(xué)習(xí)更多相關(guān)知識,請繼續(xù)關(guān)注億速云網(wǎng)站,小編會繼續(xù)努力為大家?guī)砀鄬?shí)用的文章!
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