Web Python Kernel Playground

Python Code Editor

# 🐍 Welcome to the Web Python Kernel Playground!
# Click "Initialize (Main Thread)" or "Initialize (Web Worker)" above to start
# Try the visualization examples below! 📊
# 
# ✨ NEW: Real-time streaming output support!
# Watch outputs appear as they're generated, not just at the end.

print("🚀 Web Python Kernel ready with streaming support!")

# Basic Python operations
print("\n📊 Basic Data Analysis:")
data = [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
mean = sum(data) / len(data)
print(f"Data: {data}")
print(f"Mean: {mean:.2f}")

# Quick matplotlib example (after initialization)
print("\n🎯 Quick Visualization Test:")
try:
    import matplotlib.pyplot as plt
    import numpy as np
    
    # Set backend for web display
    import matplotlib

# Simple line plot
    x = np.linspace(0, 6, 50)
    y = np.sin(x)
    
    plt.figure(figsize=(8, 4))
    plt.plot(x, y, 'b-', linewidth=2)
    plt.title("Sample Sine Wave")
    plt.grid(True, alpha=0.3)
    
    print("✅ Matplotlib is working! Check examples below for more.")
    plt.show()  # This will automatically display the plot via display_data
    
except ImportError:
    print("📦 Matplotlib will be available after initialization")
except Exception as e:
    print(f"Note: {e}")

print("\n🎨 Try the example buttons below for advanced plotting!")
print("🔄 Try the 'Streaming Demo' to see real-time output in action!")

Output

Click "Initialize (Main Thread)" or "Initialize (Web Worker)" to start running Python code...

🐍 Web Python Kernel Playground

Python Code Editor

Output

Example Code Snippets

Data Operations

Functions

Error Handling

JSON Processing

Generators

NumPy Operations

📊 Matplotlib Plotting

📈 Advanced Matplotlib

🎯 Plotly Interactive

🔍 Data Analysis

📊 Seaborn Statistical

🌐 3D Visualization

📦 Package Management

🔄 Streaming Demo

⏹ Interrupt Demo