🐍 Python Lab Studio🐍 PyLab StudioPyodide

**Complete Python environment** with **auto-install & inline plots** powered by **Pyodide** - *just run the demo code to explore!***Auto-install & inline plots** - *run demo to explore!*

AutosaveAuto-install

workspace.py

# 🐍 PyLab Studio Demo - Auto-install & Inline Plots
# Fully Pyodide-compatible

import sys
from datetime import datetime
import asyncio
import micropip

async def safe_import(package_name, import_name=None):
    """
    Import a package; auto-install if missing.
    - package_name: PyPI or Pyodide package name
    - import_name: module name to import (if different from package)
    """
    module_name = import_name or package_name
    try:
        return __import__(module_name)
    except ImportError:
        print(f"⚡ Installing missing package: {package_name}")
        await micropip.install(package_name)
        return __import__(module_name)

async def explore_environment():
    print("🚀 Starting environment exploration!")
    print("🐍 Python Lab Studio powered by Pyodide")
    print(f"Python version: {sys.version}")
    print(f"Platform: {sys.platform}")
    print(f"Session started: {datetime.now().strftime('%B %d, %Y at %I:%M %p')}")

# Ensure setuptools for package listing
    await safe_import("setuptools")

# List installed packages
    try:
        pkg_resources = await safe_import("pkg_resources")
        print("\n📦 Installed packages:")
        for dist in sorted(pkg_resources.working_set, key=lambda d: d.project_name.lower()):
            print(f" - {dist.project_name} ({dist.version})")
    except Exception as e:
        print(f"⚠️ Could not list packages: {e}")

# Load scientific stack
    np = await safe_import("numpy")
    pd = await safe_import("pandas")
    plt = await safe_import("matplotlib.pyplot", "matplotlib.pyplot")

# Enable inline plotting for PyLab Studio
    try:
        import matplotlib
        matplotlib.use("module://matplotlib_inline.backend_inline")
    except:
        pass

print("\n📊 NumPy, Pandas & Matplotlib ready!")

# Example DataFrame
    arr = np.random.rand(5)
    df = pd.DataFrame({'values': arr})
    print("\nExample DataFrame:")
    print(df)

# Plot demo
    fig, ax = plt.subplots()
    df.plot(kind="bar", ax=ax, title="Random Values Demo")
    plt.show()

print("\n✨ Environment exploration complete!")

# Schedule the coroutine in PyLab Studio
asyncio.ensure_future(explore_environment())

🖥️ Output Console

🚀 Ready to run your Python code in Pyodide...
💡 Try running the demo code to see auto-installation and inline plots in action!

Package Installation

Auto-install Active

Installed: 0 packages

🚀 Try the demo code to see auto-installation!

🐍 Python Lab Studio🐍 PyLab StudioPyodide

🖥️ Output Console

Package Installation

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