建议收藏,22个Python迷你项目(附源码)
在使用Python的建议收藏过程中,我最喜欢的迷码就是Python的各种第三方库,能够完成很多操作。项目
下面就给大家介绍22个通过Python构建的附源项目,以此来学习Python编程。建议收藏
大家也可根据项目的迷码目的及提示,自己构建解决方法,项目提高编程水平。附源
① 骰子模拟器
目的建议收藏:创建一个程序来模拟掷骰子。
提示:当用户询问时,迷码使用random模块生成一个1到6之间的项目数字。
② 石头剪刀布游戏
目标:创建一个命令行游戏,附源游戏者可以在石头、建议收藏剪刀和布之间进行选择,迷码与计算机PK。项目如果游戏者赢了,得分就会添加,直到结束游戏时,最终的分数会展示给游戏者。
提示:接收游戏者的选择,并且与计算机的选择进行比较。计算机的高防服务器选择是从选择列表中随机选取的。如果游戏者获胜,则增加1分。
import random choices = ["Rock", "Paper", "Scissors"] computer = random.choice(choices) player = False cpu_score = 0 player_score = 0 while True: player = input("Rock, Paper or Scissors?").capitalize() # 判断游戏者和电脑的选择 if player == computer: print("Tie!") elif player == "Rock": if computer == "Paper": print("You lose!", computer, "covers", player) cpu_score+=1 else: print("You win!", player, "smashes", computer) player_score+=1 elif player == "Paper": if computer == "Scissors": print("You lose!", computer, "cut", player) cpu_score+=1 else: print("You win!", player, "covers", computer) player_score+=1 elif player == "Scissors": if computer == "Rock": print("You lose...", computer, "smashes", player) cpu_score+=1 else: print("You win!", player, "cut", computer) player_score+=1 elif player==E: print("Final Scores:") print(f"CPU:{ cpu_score}") print(f"Plaer:{ player_score}") break else: print("Thats not a valid play. Check your spelling!") computer = random.choice(choices)③ 随机密码生成器
目标:创建一个程序,可指定密码长度,生成一串随机密码。
提示:创建一个数字+大写字母+小写字母+特殊字符的字符串。根据设定的密码长度随机生成一串密码。
④ 句子生成器
目的:通过用户提供的输入,来生成随机且唯一的句子。
提示:以用户输入的名词、代词、形容词等作为输入,然后将所有数据添加到句子中,并将其组合返回。
⑤ 猜数字游戏
目的:在这个游戏中,任务是创建一个脚本,能够在一个范围内生成一个随机数。如果用户在三次机会中猜对了数字,那么用户赢得游戏,否则用户输。
提示:生成一个随机数,源码库然后使用循环给用户三次猜测机会,根据用户的猜测打印最终的结果。
⑥ 故事生成器
目的:每次用户运行程序时,都会生成一个随机的故事。
提示:random模块可以用来选择故事的随机部分,内容来自每个列表里。
⑦ 邮件地址切片器
目的:编写一个Python脚本,可以从邮件地址中获取用户名和域名。
提示:使用@作为分隔符,将地址分为分为两个字符串。
⑧ 自动发送邮件
目的:编写一个Python脚本,可以使用这个脚本发送电子邮件。
提示:email库可用于发送电子邮件。
import smtplib from email.message import EmailMessage email = EmailMessage() ## Creating a object for EmailMessage email[from] = xyz name ## Person who is sending email[to] = xyz id ## Whom we are sending email[subject] = xyz subject ## Subject of email email.set_content("Xyz content of email") ## content of email with smtlib.SMTP(host=smtp.gmail.com,port=587)as smtp: ## sending request to server smtp.ehlo() ## server object smtp.starttls() ## used to send data between server and client smtp.login("email_id","Password") ## login id and password of gmail smtp.send_message(email) ## Sending email print("email send") ## Printing success message⑨ 缩写词
目的:编写一个Python脚本,从给定的句子生成一个缩写词。
提示:你可以通过拆分和索引来获取第一个单词,然后将其组合。
⑩ 文字冒险游戏
目的:编写一个有趣的Python脚本,通过为路径选择不同的选项让用户进行有趣的冒险。
⑪ Hangman
目的亿华云计算:创建一个简单的命令行hangman游戏。
提示:创建一个密码词的列表并随机选择一个单词。现在将每个单词用下划线“_”表示,给用户提供猜单词的机会,如果用户猜对了单词,则将“_”用单词替换。
import time import random name = input("What is your name? ") print ("Hello, " + name, "Time to play hangman!") time.sleep(1) print ("Start guessing...\n") time.sleep(0.5) ## A List Of Secret Words words = [python,programming,treasure,creative,medium,horror] word = random.choice(words) guesses = turns = 5 while turns > 0: failed = 0 for char in word: if char in guesses: print (char,end="") else: print ("_",end=""), failed += 1 if failed == 0: print ("\nYou won") break guess = input("\nguess a character:") guesses += guess if guess not in word: turns -= 1 print("\nWrong") print("\nYou have", + turns, more guesses) if turns == 0: print ("\nYou Lose")⑫ 闹钟
目的:编写一个创建闹钟的Python脚本。
提示:你可以使用date-time模块创建闹钟,以及playsound库播放声音。
from datetime import datetime from playsound import playsound alarm_time = input("Enter the time of alarm to be set:HH:MM:SS\n") alarm_hour=alarm_time[0:2] alarm_minute=alarm_time[3:5] alarm_seconds=alarm_time[6:8] alarm_period = alarm_time[9:11].upper() print("Setting up alarm..") while True: now = datetime.now() current_hour = now.strftime("%I") current_minute = now.strftime("%M") current_seconds = now.strftime("%S") current_period = now.strftime("%p") if(alarm_period==current_period): if(alarm_hour==current_hour): if(alarm_minute==current_minute): if(alarm_seconds==current_seconds): print("Wake Up!") playsound(audio.mp3) ## download the alarm sound from link break⑬ 有声读物
目的:编写一个Python脚本,用于将Pdf文件转换为有声读物。
提示:借助pyttsx3库将文本转换为语音。
安装:pyttsx3,PyPDF2
⑭ 天气应用
目的:编写一个Python脚本,接收城市名称并使用爬虫获取该城市的天气信息。
提示:你可以使用Beautifulsoup和requests库直接从谷歌主页爬取数据。
安装:requests,BeautifulSoup
from bs4 import BeautifulSoup import requests headers = { User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3} def weather(city): citycity=city.replace(" ","+") res = requests.get(fhttps://www.google.com/search?q={ city}&oq={ city}&aqs=chrome.0.35i39l2j0l4j46j69i60.6128j1j7&sourceid=chrome&ie=UTF-8,headersheaders=headers) print("Searching in google......\n") soup = BeautifulSoup(res.text,html.parser) location = soup.select(#wob_loc)[0].getText().strip() time = soup.select(#wob_dts)[0].getText().strip() info = soup.select(#wob_dc)[0].getText().strip() weather = soup.select(#wob_tm)[0].getText().strip() print(location) print(time) print(info) print(weather+"°C") print("enter the city name") city=input() citycity=city+" weather" weather(city)⑮ 人脸检测
目的:编写一个Python脚本,可以检测图像中的人脸,并将所有的人脸保存在一个文件夹中。
提示:可以使用haar级联分类器对人脸进行检测。它返回的人脸坐标信息,可以保存在一个文件中。
安装:OpenCV。
下载:haarcascade_frontalface_default.xml
https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_default.xml
import cv2 # Load the cascade face_cascade = cv2.CascadeClassifier(haarcascade_frontalface_default.xml) # Read the input image img = cv2.imread(images/img0.jpg) # Convert into grayscale gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # Detect faces faces = face_cascade.detectMultiScale(gray, 1.3, 4) # Draw rectangle around the faces for (x, y, w, h) in faces: cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2) crop_face = img[y:y + h, x:x + w] cv2.imwrite(str(w) + str(h) + _faces.jpg, crop_face) # Display the output cv2.imshow(img, img) cv2.imshow("imgcropped",crop_face) cv2.waitKey()⑯ 提醒应用
目的:创建一个提醒应用程序,在特定的时间提醒你做一些事情(桌面通知)。
提示:Time模块可以用来跟踪提醒时间,toastnotifier库可以用来显示桌面通知。
安装:win10toast
from win10toast import ToastNotifier import time toaster = ToastNotifier() try: print("Title of reminder") header = input() print("Message of reminder") text = input() print("In how many minutes?") time_min = input() time_min=float(time_min) except: header = input("Title of reminder\n") text = input("Message of remindar\n") time_min=float(input("In how many minutes?\n")) time_mintime_min = time_min * 60 print("Setting up reminder..") time.sleep(2) print("all set!") time.sleep(time_min) toaster.show_toast(f"{ header}", f"{ text}", duration=10, threaded=True) while toaster.notification_active(): time.sleep(0.005)⑰ 维基百科文章摘要
目的:使用一种简单的方法从用户提供的文章链接中生成摘要。
提示:你可以使用爬虫获取文章数据,通过提取生成摘要。
from bs4 import BeautifulSoup import re import requests import heapq from nltk.tokenize import sent_tokenize,word_tokenize from nltk.corpus import stopwords url = str(input("Paste the url"\n")) num = int(input("Enter the Number of Sentence you want in the summary")) num = int(num) headers = { User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3} #url = str(input("Paste the url.......")) res = requests.get(url,headersheaders=headers) summary = "" soup = BeautifulSoup(res.text,html.parser) content = soup.findAll("p") for text in content: summary +=text.text def clean(text): text = re.sub(r"\[[0-9]*\]"," ",text) texttext = text.lower() text = re.sub(r\s+," ",text) text = re.sub(r","," ",text) return text summary = clean(summary) print("Getting the data......\n") ##Tokenixing sent_tokens = sent_tokenize(summary) summary = re.sub(r"[^a-zA-z]"," ",summary) word_tokens = word_tokenize(summary) ## Removing Stop words word_frequency = { } stopwords = set(stopwords.words("english")) for word in word_tokens: if word not in stopwords: if word not in word_frequency.keys(): word_frequency[word]=1 else: word_frequency[word] +=1 maxmaximum_frequency = max(word_frequency.values()) print(maximum_frequency) for word in word_frequency.keys(): word_frequency[word] = (word_frequency[word]/maximum_frequency) print(word_frequency) sentences_score = { } for sentence in sent_tokens: for word in word_tokenize(sentence): if word in word_frequency.keys(): if (len(sentence.split(" "))) <30: if sentence not in sentences_score.keys(): sentences_score[sentence] = word_frequency[word] else: sentences_score[sentence] += word_frequency[word] print(max(sentences_score.values())) def get_key(val): for key, value in sentences_score.items(): if val == value: return key key = get_key(max(sentences_score.values())) print(key+"\n") print(sentences_score) summary = heapq.nlargest(num,sentences_score,key=sentences_score.get) print(" ".join(summary)) summary = " ".join(summary)⑱ 获取谷歌搜索结果
目的:创建一个脚本,可以根据查询条件从谷歌搜索获取数据。
from bs4 import BeautifulSoup import requests headers = { User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3} def google(query): queryquery = query.replace(" ","+") try: url = fhttps://www.google.com/search?q={ query}&oq={ query}&aqs=chrome..69i57j46j69i59j35i39j0j46j0l2.4948j0j7&sourceid=chrome&ie=UTF-8 res = requests.get(url,headersheaders=headers) soup = BeautifulSoup(res.text,html.parser) except: print("Make sure you have a internet connection") try: try: ans = soup.select(.RqBzHd)[0].getText().strip() except: try: title=soup.select(.AZCkJd)[0].getText().strip() try: ans=soup.select(.e24Kjd)[0].getText().strip() except: ans="" ans=f{ title}\n{ ans} except: try: ans=soup.select(.hgKElc)[0].getText().strip() except: ans=soup.select(.kno-rdesc span)[0].getText().strip() except: ans = "cant find on google" return ans result = google(str(input("Query\n"))) print(result)获取结果如下。
⑲ 货币换算器
目的:编写一个Python脚本,可以将一种货币转换为其他用户选择的货币。
提示:使用Python中的API,或者通过forex-python模块来获取实时的货币汇率。
安装:forex-python
⑳ 键盘记录器
目的:编写一个Python脚本,将用户按下的所有键保存在一个文本文件中。
提示:pynput是Python中的一个库,用于控制键盘和鼠标的移动,它也可以用于制作键盘记录器。简单地读取用户按下的键,并在一定数量的键后将它们保存在一个文本文件中。
from pynput.keyboard import Key, Controller,Listener import time keyboard = Controller() keys=[] def on_press(key): global keys #keys.append(str(key).replace("","")) strstring = str(key).replace("","") keys.append(string) main_string = "".join(keys) print(main_string) if len(main_string)>15: with open(keys.txt, a) as f: f.write(main_string) keys= [] def on_release(key): if key == Key.esc: return False with listener(on_presson_press=on_press,on_releaseon_release=on_release) as listener: listener.join()文章朗读器
目的:编写一个Python脚本,自动从提供的链接读取文章。
import pyttsx3 import requests from bs4 import BeautifulSoup url = str(input("Paste article url\n")) def content(url): res = requests.get(url) soup = BeautifulSoup(res.text,html.parser) articles = [] for i in range(len(soup.select(.p))): article = soup.select(.p)[i].getText().strip() articles.append(article) contents = " ".join(articles) return contents engine = pyttsx3.init(sapi5) voices = engine.getProperty(voices) engine.setProperty(voice, voices[0].id) def speak(audio): engine.say(audio) engine.runAndWait() contentcontents = content(url) ## print(contents) ## In case you want to see the content #engine.save_to_file #engine.runAndWait() ## In case if you want to save the article as a audio file短网址生成器
目的:编写一个Python脚本,使用API缩短给定的URL。
from __future__ import with_statement import contextlib try: from urllib.parse import urlencode except ImportError: from urllib import urlencode try: from urllib.request import urlopen except ImportError: from urllib2 import urlopen import sys def make_tiny(url): request_url = (http://tinyurl.com/api-create.php? + urlencode({ url:url})) with contextlib.closing(urlopen(request_url)) as response: return response.read().decode(utf-8) def main(): for tinyurl in map(make_tiny, sys.argv[1:]): print(tinyurl) if __name__ == __main__: main() -----------------------------OUTPUT------------------------ python url_shortener.py https://www.wikipedia.org/ https://tinyurl.com/buf3qt3以上就是今天分享的内容,针对上面这些项目,有的可以适当调整。
比如自动发送邮件,可以选择使用自己的QQ邮箱。
天气信息也可使用国内一些免费的API,维基百科可以对应百度百科,谷歌搜索可以对应百度搜索等等。
这些都是大伙可以思考的~