使用Python创意编程：掌握技能，启动创新旅程

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。

1. 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()

2. 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())

3. 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