DATA ANALYTICS / INTERACTIVE CLASSROOM

A little code.
A lot to discover.

Your own Python notebook, ready for data, questions, and experiments.

pandas · NumPy · Matplotlib · seaborn · openpyxl

Py / lab

Make yourself at home.

Enter your name to start your own notebook. Save its private link to return later.

Your name

Your code syncs with your instructor when the classroom is connected. You can also download a copy.

DATA ANALYTICS Python notebook

YOUR SPACE TO EXPERIMENT

Let’s work with data.

Write Python. Run a cell. See what happens.

● Starting Python…

Notebook tools

Upload Excel, CSV, or other data files. Read them by filename.

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Restart clears variables and uploaded files. Your code stays here.

Ready to import

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import openpyxl

All five libraries load automatically when Python starts.

TRY AN EXERCISE

The average sale

Create a variable called mean_sales with the mean of [120, 180, 240].

Exercise cells check your answer. Other cells report whether the code ran successfully.

Notebook · saved locally

✗ Not finished · run your cells, then press Finished.

Shift + Enter to run a cell · Variables are shared between cells · Files stay in this session