Realize your creativity with Python: Master the language and start your journey of innovation

Python is a powerful programming language that is widely used in various fields such as data analysis, artificial intelligence, and website development. It has concise and easy-to-read syntax and rich libraries, making programming simple and efficient. If you want to better master Python and start your own innovation journey, you might as well try some specific code examples.

1. Data analysis and visualization

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. Simple crawler

import requests
from bs4 import BeautifulSoup

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

3. Machine Learning Practice

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))

Through these simple examples, you can experience Python in data analysis and network crawling

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