Python是一种功能强大的编程语言，被广泛应用于数据分析、人工智能、网站开发等各个领域。它具有简洁易读的语法和丰富的库，让编程变得简单高效。若想更好地掌握Python，开启自己的创新之旅，不妨尝试一些具体的代码示例。
- 数据分析与可视化
import pandas as pd
import matplotlib.pyplot as plt
data = {'Name': ['Alice', 'Bob', 'Cathy', 'David'],
'Age': [25, 30, 35, 40]}
df = pd.DataFrame(data)
plt.bar(df['Name'], df['Age'])
plt.xlabel('Name')
plt.ylabel('Age')
plt.title('Age Distribution')
plt.show()
- 简单的爬虫
import requests from bs4 import BeautifulSoup url = 'http://example.com' response = requests.get(url) soup = BeautifulSoup(response.content, 'html.parser') print(soup.prettify())
- 机器学习实践
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
iris = load_iris()
X, y = iris.data, iris.target
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
model = RandomForestClassifier()
model.fit(X_train, y_train)
predictions = model.predict(X_test)
print('Accuracy:', accuracy_score(y_test, predictions))
通过这些简单的示例，你可以体验Python在数据分析、网络爬
