用Python实现你的创意：掌握这门语言，开启创新之旅

import pandas as pdimport matplotlib.pyplot as pltdata = {'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()

import requestsfrom bs4 import BeautifulSoupurl = 'http://example.com'response = requests.get(url)soup = BeautifulSoup(response.content, 'html.parser')print(soup.prettify())

from sklearn.datasets import load_irisfrom sklearn.model_selection import train_test_splitfrom sklearn.ensemble import RandomForestClassifierfrom sklearn.metrics import accuracy_scoreiris = load_iris()X, y = iris.data, iris.targetX_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))