⑪ Hangman

目的：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
                    break

⑬ 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):
    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()