行业知识
【建议收藏】30个较难Python脚本，纯干货分享
本篇较难，建议优先学习上篇 ；20个硬核Python脚本-CSDN博客
（）接上篇文章，对于Pyhon的学习，上篇学习的结束相信大家对于Pyhon有了一定的理解和经验，学习完上篇文章之后再研究研究剩下的30个脚本你将会有所成就！加油！
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目录
21、数据库连接 - SQLite
22、图像处理 - Pillow
23、图形界面 - Tkinter
24、文本生成 - Faker
25、加密和解密 - cryptography
26、Socket编程
27、并发编程 - threading
28、正则表达式 - re
29、REST API - FastAPI
30、数据库连接 - SQLAlchemy
31、文本处理 - NLTK
32、命令行应用 - argparse
33、微服务 - Flask-RESTful
34、数据处理 - BeautifulSoup
35、加密 - hashlib
36、数据序列化 - Pickle
37、并行处理 - concurrent.futures
38、网络爬虫 - Scrapy
39、异步编程 - asyncio
40、数据分析 - Numpy
41、数据处理 - Pandas
42、数据可视化 - Matplotlib
43、机器学习 - Scikit-Learn
44、机器学习 - Keras
45、图像处理 - OpenCV
46、数据爬取 - Scrapy
47、数据分析 - Seaborn
48、数据可视化 - Plotly
49、自然语言处理 - spaCy
50、机器学习 - XGBoost
21、数据库连接 - SQLite
import sqlite3conn = sqlite3.connect('mydatabase.db')cursor = conn.cursor()cursor.execute('CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT)')conn.commit()conn.close() 官方文档: https://www.sqlite.org/docs.html
22、图像处理 - Pillow
from PIL import Imageimg = Image.open('example.jpg')img.show() 官方文档: https://pillow.readthedocs.io/en/stable/index.html
23、图形界面 - Tkinter
import tkinter as tkroot = tk.Tk()label = tk.Label(root, text="Hello, GUI!")label.pack()root.mainloop()
官方文档: https://docs.python.org/3/library/tkinter.html
24、文本生成 - Faker
from faker import Fakerfake = Faker()print(fake.name())
官方文档: https://faker.readthedocs.io/en/master/
25、加密和解密 - cryptography
from cryptography.fernet import Fernetkey = Fernet.generate_key()cipher_suite = Fernet(key)text = "Secret message".encode()cipher_text = cipher_suite.encrypt(text)print(cipher_text)
官方文档: https://cryptography.io/en/latest/
26、Socket编程
import socketserver_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)server_socket.bind(('127.0.0.1', 12345))server_socket.listen(5)print("Server is listening...")while True: client_socket, addr = server_socket.accept() print(f"Connection from {addr}") client_socket.send(b"Hello, client!") client_socket.close() 官方文档: https://docs.python.org/3/library/socket.html
27、并发编程 - threading
import threadingdef print_numbers(): for i in range(1, 6): print(f"Number: {i}")def print_letters(): for letter in "abcde": print(f"Letter: {letter}")thread1 = threading.Thread(target=print_numbers)thread2 = threading.Thread(target=print_letters)thread1.start()thread2.start() 官方文档: https://docs.python.org/3/library/threading.html
28、正则表达式 - re
import retext = "My phone number is 123-456-7890."pattern = r'\d{3}-\d{3}-\d{4}'match = re.search(pattern, text)if match: print(f"Phone number found: {match.group()}") 官方文档: https://docs.python.org/3/howto/regex.html
29、REST API - FastAPI
from fastapi import FastAPIapp = FastAPI()@app.get("/items/{item_id}")def read_item(item_id: int, query_param: str = None): return {"item_id": item_id, "query_param": query_param} 官方文档: https://fastapi.tiangolo.com/
30、数据库连接 - SQLAlchemy
from sqlalchemy import create_engine, Column, Integer, Stringfrom sqlalchemy.orm import sessionmakerfrom sqlalchemy.ext.declarative import declarative_baseengine = create_engine('sqlite:///mydatabase.db')Base = declarative_base()class User(Base): __tablename__ = 'users' id = Column(Integer, primary_key=True) name = Column(String)Session = sessionmaker(bind=engine)session = Session() 官方文档: https://docs.sqlalchemy.org/en/20/
31、文本处理 - NLTK
import nltknltk.download('punkt')from nltk.tokenize import word_tokenizetext = "This is a sample sentence."tokens = word_tokenize(text)print(tokens) 官方文档: https://www.nltk.org/
32、命令行应用 - argparse
import argparseparser = argparse.ArgumentParser(description='A simple command-line app')parser.add_argument('--name', type=str, help='Your name')args = parser.parse_args()print(f'Hello, {args.name}!') 官方文档: https://docs.python.org/3/library/argparse.html
33、微服务 - Flask-RESTful
from flask import Flaskfrom flask_restful import Resource, Apiapp = Flask(__name)api = Api(app)class HelloWorld(Resource): def get(self): return {'message': 'Hello, World!'}api.add_resource(HelloWorld, '/') 官方文档: https://flask-restful.readthedocs.io/en/latest/
34、数据处理 - BeautifulSoup
from bs4 import BeautifulSoupimport requestsurl = "https://www.example.com"response = requests.get(url)soup = BeautifulSoup(response.text, "html.parser")print(soup.title.text)
官方文档: https://www.crummy.com/software/BeautifulSoup/bs4/doc/
35、加密 - hashlib
import hashlibtext = "Secret Password"hash_object = hashlib.sha256(text.encode())hash_hex = hash_object.hexdigest()print(hash_hex)
官方文档: https://docs.python.org/3/library/hashlib.html
36、数据序列化 - Pickle
import pickledata = {'name': 'Alice', 'age': 30}with open('data.pkl', 'wb') as file: pickle.dump(data, file)with open('data.pkl', 'rb') as file: loaded_data = pickle.load(file) print(loaded_data) 官方文档: https://docs.python.org/3/library/pickle.html
37、并行处理 - concurrent.futures
import concurrent.futuresdef square(x): return x * xwith concurrent.futures.ThreadPoolExecutor() as executor: results = executor.map(square, [1, 2, 3, 4, 5])for result in results: print(result)
官方文档: https://docs.python.org/3/library/concurrent.futures.html
38、网络爬虫 - Scrapy
import scrapyclass MySpider(scrapy.Spider): name = 'example.com' start_urls = ['https://www.example.com'] def parse(self, response): # 爬取和处理数据 pass
官方文档: https://docs.scrapy.org/en/latest/
39、异步编程 - asyncio
import asyncioasync def hello(): await asyncio.sleep(1) print("Hello, Async!")loop = asyncio.get_event_loop()loop.run_until_complete(hello()) 官方文档: https://docs.python.org/3/library/asyncio.html
40、数据分析 - Numpy
import numpy as nparr = np.array([1, 2, 3, 4, 5])print(arr.mean())
官方文档: https://numpy.org/doc/stable/
41、数据处理 - Pandas
import pandas as pddata = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}df = pd.DataFrame(data)print(df) 官方文档: https://pandas.pydata.org/docs/
42、数据可视化 - Matplotlib
import matplotlib.pyplot as pltx = [1, 2, 3, 4, 5]y = [10, 15, 13, 18, 20]plt.plot(x, y)plt.show()
官方文档: https://matplotlib.org/stable/contents.html
43、机器学习 - Scikit-Learn
from sklearn.datasets import load_irisfrom sklearn.model_selection import train_test_splitfrom sklearn.ensemble import RandomForestClassifieriris = load_iris()X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.2)clf = RandomForestClassifier(n_estimators=100)clf.fit(X_train, y_train)
官方文档: https://scikit-learn.org/stable/documentation.html
44、机器学习 - Keras
from keras.models import Sequentialfrom keras.layers import Densemodel = Sequential()model.add(Dense(units=64, activation='relu', input_dim=100))model.add(Dense(units=10, activation='softmax'))
官方文档: https://keras.io/guides/
45、图像处理 - OpenCV
import cv2image = cv2.imread('image.jpg')cv2.imshow('Image', image)cv2.waitKey(0)cv2.destroyAllWindows() 官方文档: https://docs.opencv.org/master/index.html
46、数据爬取 - Scrapy
import scrapyclass MySpider(scrapy.Spider): name = 'example.com' start_urls = ['https://www.example.com'] def parse(self, response): # 爬取和处理数据 pass
47、数据分析 - Seaborn
import seaborn as snsimport matplotlib.pyplot as pltdata = sns.load_dataset("iris")sns.pairplot(data, hue="species")plt.show() 官方文档: https://seaborn.pydata.org/introduction.html
48、数据可视化 - Plotly
import plotly.express as pxfig = px.scatter(x=[1, 2, 3, 4], y=[10, 11, 12, 13])fig.show()
官方文档: https://plotly.com/python/
49、自然语言处理 - spaCy
import spacynlp = spacy.load('en_core_web_sm')doc = nlp("This is a sample sentence.")for token in doc: print(token.text, token.pos_) 官方文档: https://spacy.io/usage/spacy-101
50、机器学习 - XGBoost
import xgboost as xgbdata = xgb.DMatrix('train.csv')param = {'max_depth': 3, 'eta': 0.1, 'objective': 'reg:squarederror'}model = xgb.train(param, data, 10) 官方文档: https://xgboost.readthedocs.io/en/latest/
结束 over
