Language

Mapsfunction

Source: 4-Functions/4.4-Mapsfunction.ipynb

Start here — no coding background needed

What you will learn

Apply the same change to every item in a list.

In simple words

`map` runs a function on each element — like converting every price to include tax.

Write a recipe once, use it many times — functions save repetition.

Easy example — try this first

Easy example — run this first. Change values and press Run again.

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference notes (from full bootcamp)

Optional — deeper detail for when you are ready

The map() Function in Python

The map() function applies a given function to all items in an input list (or any other iterable) and returns a map object (an iterator). This is particularly useful for transforming data in a list comprehensively.

Reference example

Output

Expected (from notebook):
100

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example

Output

Expected (from notebook):
[1, 4, 9, 16, 25, 36, 49, 64]

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example

Output

Expected (from notebook):
[1, 4, 9, 16, 25, 36, 49, 64]

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example

Output

Expected (from notebook):
[5, 7, 9]

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example

Output

Expected (from notebook):
[1, 2, 3, 4, 5]

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example

Output

Expected (from notebook):
['APPLE', 'BANANA', 'CHERRY']

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Reference example

Output

Expected (from notebook):
['Rish', 'Jack']

Runs in your browser via Pyodide — no server. First run may take a few seconds.

Conclusion

The map() function is a powerful tool for applying transformations to iterable data structures. It can be used with regular functions, lambda functions, and even multiple iterables, providing a versatile approach to data processing in Python. By understanding and utilizing map(), you can write more efficient and readable code.

Practice test — try yourself

Write code, press Check. Wrong answer shows the correct code to copy & run.

You learned "Mapsfunction". Use print() to show: Done: Mapsfunction

Hint: Use one print() with the exact text.