Online Pandas

Practice Pandas online with small datasets. Explore Series, tabular DataFrames, and summary statistics before working with CSV files in a real Python lab.

Free online practice
Real LabEx environments
No installation
Series
DataFrames
Summary statistics

Learn Data Science

Pandas Shell· Ready

Open Python Lab

Welcome to the LabEx Pandas Shell. Press Enter to run your first command. Type help for session commands.

>>>

Commands run locally in your browser.Enter run · ↑/↓ history · Tab complete

Start here

Quick Start with Pandas Playground

Load a task into the terminal, then press Enter to see the result. Each example works in the introductory session on this page.

Preview a DataFrame

Pandas is imported as pd. The seeded df contains three learners and their scores.

df.head()

Inspect dimensions

Return the number of rows and columns.

df.shape

List columns

Inspect the column labels before selecting data.

df.columns

Select a column

Read the score column as a Series.

df["score"]

Calculate the mean

Find the average score in the sample dataset.

df["score"].mean()

Filter rows

Keep learners with a score of at least 80.

df[df["score"] >= 80]

Sort a DataFrame

Sort the sample rows by score.

df.sort_values("score")

Summarize numeric data

Inspect count, mean, spread, and percentiles for the score column.

df.describe()

No setup needed

How the Pandas Playground Works

Practice Pandas online with small datasets. Explore Series, tabular DataFrames, and summary statistics before working with CSV files in a real Python lab.

Start with the short command exercises above. When you are ready for a project, open the linked LabEx lab to work with real tools in an online Linux environment, with step-by-step guidance and immediate feedback.

Build practical Pandas skills

Series
DataFrames
Summary statistics

Explore Python Labs

Keep learning

Learn Data Science with Hands-On Labs

Build on your Pandas experiments with a structured skill tree. Explore the skills, choose a guided lab, and practice each concept in an online environment.

Learn Data Science

Follow the Data Science Skill Tree to connect fundamentals with practical tasks and projects.

Explore the Skill Tree →

Practice Python

Work through a guided learning environment and get hands-on experience with Series, DataFrames, Summary statistics.

Open hands-on practice →

Online Pandas FAQ

What can I learn with Pandas?

Explore Series, DataFrames, selection, and summary statistics. Continue through the Data Science Skill Tree and launch a Python lab for working with datasets and the installed Pandas library.

Is the Pandas Playground free?

The introductory exercises are free. Sign in for a complete LabEx environment; session duration and resources depend on your lab and plan.

Do I need to install software?

No local installation is required. Sign in and open the lab in a modern browser. Follow the lab instructions to configure software inside the environment.

Where can I use more commands and features?

This preview supports a limited command set. Sign in and launch the Python lab for more commands, packages and services. Available software and permissions depend on the selected lab.

How do I continue learning Pandas?

Follow the Data Science Skill Tree for guided labs and challenges. Practice regularly, inspect command output and ask Labby for help.

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Ready to practice Pandas?

Continue with real tools, guided labs, and Labby assistance.

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Online Pandas

Pandas Shell· Ready