Online NumPy

Explore NumPy arrays online and build numerical computing skills. Practice array creation, vector arithmetic, and aggregation before larger Python data-science projects.

  • Free online practice
  • Real LabEx environments
  • No installation
  • Array creation
  • Vector arithmetic
  • Aggregations
Learn Data Science

NumPy Shell· Ready

Open Python Lab
Welcome to the LabEx NumPy Shell. Press Enter to run your first command. Type help for session commands.

Start here

Quick Start with NumPy Playground

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

Inspect an array

NumPy is imported as np. The seeded arr contains [10, 20, 30, 40, 50].

arr

Inspect dimensions

Read the shape of the one-dimensional sample array.

arr.shape

Read the first value

Use a zero-based index to select one element.

arr[0]

Slice an array

Read elements at indices one through three.

arr[1:4]

Add a scalar

Add five to every element without changing arr.

arr + 5

Calculate the sum

Add all values in the sample array.

arr.sum()

Calculate the mean

Compute the arithmetic mean.

arr.mean()

Create a sequence

Generate an array from zero through four.

np.arange(5)

No setup needed

How the NumPy Playground Works

Explore NumPy arrays online and build numerical computing skills. Practice array creation, vector arithmetic, and aggregation before larger Python data-science projects.

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 NumPy skills

  • Array creation
  • Vector arithmetic
  • Aggregations
Explore Python Labs

Keep learning

Learn Data Science with Hands-On Labs

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

Online NumPy FAQ

What can I learn with NumPy?

Practice array creation, indexing, arithmetic, and basic statistics. Continue through the Data Science Skill Tree and use a hosted Python lab for larger numerical tasks.

Is the NumPy 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 NumPy?

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

Your next step

Ready to practice NumPy?

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

Try LabEx Python Labs