做网站阿里巴巴好还是百度好,网上购物平台类型有哪些,广州服装 网站建设,信用中国 网站 建设方案本篇较难#xff0c;建议优先学习上篇 #xff1b;20个硬核Python脚本-CSDN博客 接上篇文章#xff0c;对于Pyhon的学习#xff0c;上篇学习的结束相信大家对于Pyhon有了一定的理解和经验#xff0c;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… 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 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, textHello, 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(fConnection from {addr})client_socket.send(bHello, 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(fNumber: {i})def print_letters():for letter in abcde:print(fLetter: {letter})thread1 threading.Thread(targetprint_numbers)
thread2 threading.Thread(targetprint_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(fPhone 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, String
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_baseengine create_engine(sqlite:///mydatabase.db)
Base declarative_base()class User(Base):__tablename__ usersid Column(Integer, primary_keyTrue)name Column(String)Session sessionmaker(bindengine)
session Session()
官方文档: https://docs.sqlalchemy.org/en/20/
31、文本处理 - NLTK
import nltk
nltk.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(descriptionA simple command-line app)
parser.add_argument(--name, typestr, helpYour name)
args parser.parse_args()
print(fHello, {args.name}!)
官方文档: https://docs.python.org/3/library/argparse.html
33、微服务 - Flask-RESTful
from flask import Flask
from 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 BeautifulSoup
import 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.comstart_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_iris
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifieriris load_iris()
X_train, X_test, y_train, y_test train_test_split(iris.data, iris.target, test_size0.2)
clf RandomForestClassifier(n_estimators100)
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 Sequential
from keras.layers import Densemodel Sequential()
model.add(Dense(units64, activationrelu, input_dim100))
model.add(Dense(units10, activationsoftmax))
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.comstart_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 sns
import matplotlib.pyplot as pltdata sns.load_dataset(iris)
sns.pairplot(data, huespecies)
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
