Welcome! Today we'll explore the map function in Python. The map function is a powerful tool in functional programming that applies a function to each item in an iterable, such as a list or tuple. By the end of this lesson, you'll know how to use the map function effectively to write more concise and readable code.

We’ll focus on:

• Understanding the basics of the map function.
• Using lambda functions and predefined functions with map.
• Working with multiple iterables using map.

Ready? Let's dive in!

What is the map function? map applies a given function to each item of an iterable (like a list), returning a new iterable with the results. The basic syntax is:

Here is a simple example:

In the above code, the function double is applied to each element in the numbers list. The map function returns a special iterable object called map. We convert it back to a list to see the result.

Lambda functions are small anonymous functions defined using the lambda keyword. They are often used for simple operations. Let's recall their syntax:

When used with map, lambda functions can simplify our code:

In this case, the lambda function lambda x: x ** 2 squares each number in the numbers list.

map can accept multiple iterables. The function passed to map should accept the same number of arguments as there are iterables. Here's an example:

In this code, the lambda function lambda x, y: x + y takes two arguments and adds them together. The map function applies this lambda to corresponding elements of numbers1 and numbers2.

Great job! In this lesson, we explored the map function in Python. We covered:

• The basic syntax and use of the map function.
• Using lambda functions with map for concise operations.
• Applying map to multiple iterables at once.

Now it’s time to put this knowledge into practice. The upcoming practice tasks will solidify your understanding and help you apply what you've learned.

Ready to map your new knowledge into practice? Let’s get started!