值得學習練手的22個Python迷你程序
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奇酷教育 發表于：
2023-04-28 12:02:14
值得學習練手的22個Python迷你程序
值得學習練手的22個Python迷你程序
1、 骰子模擬器
目的：創建一個程序來模擬擲骰子。
提示：當用戶詢問時，使用random模塊生成一個1到6之間的數字。
2、石頭剪刀布游戲
目標：創建一個命令行游戲，游戲者可以在石頭、剪刀和布之間進行選擇，與計算機PK。如果游戲者贏了，得分就會添加，直到結束游戲時，最終的分數會展示給游戲者。
提示：接收游戲者的選擇，并且與計算機的選擇進行比較。計算機的選擇是從選擇列表中隨機選取的。如果游戲者獲勝，則增加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()
# 判斷游戲者和電腦的選擇
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(fCPU:{cpu_score})
print(fPlaer:{player_score})
break
else:
print(That's not a valid play. Check your spelling!)
computer = random.choice(choices)
3、隨機密碼生成器
目標：創建一個程序，可指定密碼長度，生成一串隨機密碼。
提示：創建一個數字+大寫字母+小寫字母+特殊字符的字符串。根據設定的密碼長度隨機生成一串密碼。
4、句子生成器
目的：通過用戶提供的輸入，來生成隨機且唯一的句子。
提示：以用戶輸入的名詞、代詞、形容詞等作為輸入，然后將所有數據添加到句子中，并將其組合返回。
5、 猜數字游戲
目的：在這個游戲中，任務是創建一個腳本，能夠在一個范圍內生成一個隨機數。如果用戶在三次機會中猜對了數字，那么用戶贏得游戲，否則用戶輸。
提示：生成一個隨機數，然后使用循環給用戶三次猜測機會，根據用戶的猜測打印最終的結果。
6、故事生成器
目的：每次用戶運行程序時，都會生成一個隨機的故事。
提示：random模塊可以用來選擇故事的隨機部分，內容來自每個列表里。
7、 郵件地址切片器
目的：編寫一個Python腳本，可以從郵件地址中獲取用戶名和域名。
提示：使用@作為分隔符，將地址分為分為兩個字符串。
8、 自動發送郵件
目的：編寫一個Python腳本，可以使用這個腳本發送電子郵件。
提示：email庫可用于發送電子郵件。
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 message
9、 縮寫詞
目的：編寫一個Python腳本，從給定的句子生成一個縮寫詞。
提示：你可以通過拆分和索引來獲取第一個單詞，然后將其組合。
10、 文字冒險游戲
目的：編寫一個有趣的Python腳本，通過為路徑選擇不同的選項讓用戶進行有趣的冒險。
11、Hangman
目的：創建一個簡單的命令行hangman游戲。
提示：創建一個密碼詞的列表并隨機選擇一個單詞。現在將每個單詞用下劃線“_”表示，給用戶提供猜單詞的機會，如果用戶猜對了單詞，則將“_”用單詞替換。
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、鬧鐘
目的：編寫一個創建鬧鐘的Python腳本。
提示：你可以使用date-time模塊創建鬧鐘，以及playsound庫播放聲音。
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
break
13、有聲讀物
目的：編寫一個Python腳本，用于將Pdf文件轉換為有聲讀物。
提示：借助pyttsx3庫將文本轉換為語音。
安裝：pyttsx3，PyPDF2
14、天氣應用
目的：編寫一個Python腳本，接收城市名稱并使用爬蟲獲取該城市的天氣信息。
提示：你可以使用Beautifulsoup和requests庫直接從谷歌主頁爬取數據。
安裝：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):
city=city.replace( ,+)
res = requests.get(f'https://www.google.com/search?q={city}&oq={city}&aqs=chrome.0.35i39l2j0l4j46j69i60.6128j1j7&sourceid=chrome&ie=UTF-8',headers=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()
city=city+ weather
weather(city)
15、人臉檢測
目的：編寫一個Python腳本，可以檢測圖像中的人臉，并將所有的人臉保存在一個文件夾中。
提示：可以使用haar級聯分類器對人臉進行檢測。它返回的人臉坐標信息，可以保存在一個文件中。
安裝：OpenCV。
下載：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、提醒應用
目的：創建一個提醒應用程序，在特定的時間提醒你做一些事情(桌面通知)。
提示：Time模塊可以用來跟蹤提醒時間，toastnotifier庫可以用來顯示桌面通知。
安裝：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_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、維基百科文章摘要
目的：使用一種簡單的方法從用戶提供的文章鏈接中生成摘要。
提示：你可以使用爬蟲獲取文章數據，通過提取生成摘要。
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,headers=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)
text = 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
maximum_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、獲取谷歌搜索結果
目的：創建一個腳本，可以根據查詢條件從谷歌搜索獲取數據。
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):
query = query.replace( ,+)
try:
url = f'https://www.google.com/search?q={query}&oq={query}&aqs=chrome..69i57j46j69i59j35i39j0j46j0l2.4948j0j7&sourceid=chrome&ie=UTF-8'
res = requests.get(url,headers=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 = can't find on google
return ans
result = google(str(input(Query\n)))
print(result)
獲取結果如下。
19、貨幣換算器
目的：編寫一個Python腳本，可以將一種貨幣轉換為其他用戶選擇的貨幣。
提示：使用Python中的API，或者通過forex-python模塊來獲取實時的貨幣匯率。
安裝：forex-python
20、鍵盤記錄器
目的：編寫一個Python腳本，將用戶按下的所有鍵保存在一個文本文件中。
提示：pynput是Python中的一個庫，用于控制鍵盤和鼠標的移動，它也可以用于制作鍵盤記錄器。簡單地讀取用戶按下的鍵，并在一定數量的鍵后將它們保存在一個文本文件中。
from pynput.keyboard import Key, Controller,Listener
import time
keyboard = Controller()
keys=[]
def on_press(key):
global keys
#keys.append(str(key).replace(',))
string = 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_press=on_press,on_release=on_release) as listener:
listener.join()
21、文章朗讀器
目的：編寫一個Python腳本，自動從提供的鏈接讀取文章。
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()
contents = 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
22、短網址生成器
目的：編寫一個Python腳本，使用API縮短給定的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
