Python Playground

Run Python entirely in your browser with NumPy, Pandas, Matplotlib, SciPy, scikit-learn, statsmodels, SymPy, and more — ideal for cleaning data, building models, and creating charts without installing anything.

In this workspace

What you get when you open Jupyter Lab.

Run All

Rich Python stack
pandas, scikit-learn, matplotlib, and micropip installs
Multi-cell notebook
Add, reorder, and run cells independently or all at once
Datasets & samples
Iris, Titanic, and your own CSV/uploads in a Data explorer
AI tutor + cheatsheet
Inline help and click-to-insert snippets beside the notebook
Export & share
Download notebook formats and share a read-only link

Your Python playgrounds

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Opens in the full Jupyter/RStudio notebook workspace with datasets, export, and AI tutor.

Starter template

# Python playground — iris.csv loads automatically from Data
# Need an extra package? Run once per session, then import normally:
# import micropip
# await micropip.install("seaborn")
# import seaborn as sns

import pandas as pd
import matplotlib.pyplot as plt

iris = pd.read_csv("iris.csv")
print(iris.head())
print(iris.groupby("species")[["sepal_length", "petal_length"]].mean())

# Color points by species (map the text labels to numeric codes for matplotlib)
species_codes = iris["species"].astype("category").cat.codes
iris.plot.scatter(
    x="sepal_length",
    y="petal_length",
    c=species_codes,
    colormap="viridis",
    title="Iris clusters",
)
plt.show()

What you'll learn

✓EDA & visualization
✓ML prototyping
✓Statistics homework
✓Data cleaning pipelines

Starter template

# Python playground — iris.csv loads automatically from Data # Need an extra package? Run once per session, then import normally: # import micropip # await micropip.install("seaborn") # import seaborn as sns import pandas as pd import matplotlib.pyplot as plt iris = pd.read_csv("iris.csv") print(iris.head()) print(iris.groupby("species")[["sepal_length", "petal_length"]].mean()) # Color points by species (map the text labels to numeric codes for matplotlib) species_codes = iris["species"].astype("category").cat.codes iris.plot.scatter( x="sepal_length", y="petal_length", c=species_codes, colormap="viridis", title="Iris clusters", ) plt.show()