Python是一門高級編程語言，被廣泛用于各種應(yīng)用領(lǐng)域。下面是Python實戰(zhàn)案例：

1. 網(wǎng)站數(shù)據(jù)抓取

import requests
url = 'https://www.example.com'
response = requests.get(url)
print(response.text)

2. 數(shù)據(jù)分析與可視化

import pandas as pd
import matplotlib.pyplot as plt
data = pd.read_csv('data.csv')
plt.plot(data['x'], data['y'])
plt.show()

3. 自動化測試

import unittest
from selenium import webdriver
class TestWebsite(unittest.TestCase):
def setUp(self):
self.driver = webdriver.Chrome()
def test_homepage(self):
self.driver.get('https://www.example.com')
assert 'Example' in self.driver.title
def tearDown(self):
self.driver.quit()
if __name__ == '__main__':
unittest.main()

4. 人工智能應(yīng)用

import tensorflow as tf
from tensorflow.keras.datasets import mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
model = tf.keras.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10, activation='softmax')
])
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
model.fit(x_train, y_train, epochs=5)
test_loss, test_acc = model.evaluate(x_test,  y_test, verbose=2)
print('\nTest accuracy:', test_acc)

Python有著豐富的庫和工具，可以滿足各種編程需求，而以上案例只是其中的幾個示例。