Lambda Functions
Master anonymous functions in Python. Learn to write concise one-liners using the lambda keyword.
Master anonymous functions in Python. Learn to write concise one-liners using the lambda keyword. This hands-on tutorial focuses on practical implementation of lambda functions concepts.
Lambda Functions
A Lambda Function is a small, anonymous function. Unlike regular functions defined with def, lambda functions can have only one expression.
Syntax
lambda arguments : expression
Why use Lambda?
Lambdas are best used when you need a short function for a short period of time, often as an argument to another function.
1. Using with map()
map() applies a function to every item in an iterable.
2. Using with filter()
filter() creates a list of elements for which a function returns True.
3. Using with reduce()
reduce() from functools applies a function cumulatively to items, reducing them to a single value.
Custom Sorting with sorted()
You can use a lambda to specify a custom sort key.
Advanced Sorting: Multiple Criteria 🎯
You can sort by multiple fields by returning a tuple from the lambda.
When NOT to Use Lambdas ⚠️
Lambdas should be simple. If you need multiple lines or complex logic, use a regular function!
Coding Challenge: Custom Sorting Engine 🏆
Create a function sort_products(products, sort_by) that sorts a list of product dictionaries by different criteria using lambdas.
AI Mentor
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Quiz
Quiz
Question 1 of 5How many expressions can a lambda function have?
Key Takeaways
✅ Lambda functions are anonymous one-liners.
✅ Syntax: lambda args : expression.
✅ Great for map(), filter(), reduce(), and sorted().
✅ Avoid lambdas for complex logic - use regular functions instead.
What's Next?
In the final lesson of this module, we'll learn how to organize our code into Modules & Packages.
Keep coding! 🚀