Why is Python used in machine learning?

02 · See it in action

Follow the steps

1. Create a DataFrame with known values.
2. Inspect types and count missing entries.
3. Check whether numbers have consistent units.
4. Write down one cleaning decision and its reason.

Worked example

import pandas as pd
df = pd.DataFrame({"hours": [1, 2, None, 4], "score": [42, 55, 61, 78]})
print(df.dtypes)
print(df.isna().sum())
print(df.describe())

Read the example once, then explain each part aloud in your own words. If it includes Python, you can understand the idea first and run the code later in a local Python environment. Code is shown as text; this page does not execute it.

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