In this lesson, you’ll learn two powerful Python tools—lambda functions and list comprehensions—that help you write more compact, readable, and efficient code.
💡 What You’ll Learn:
What lambda (anonymous) functions are and when to use them
Syntax for creating one-line, unnamed functions
Why lambdas are ideal for quick data cleaning tasks
How list comprehensions replace traditional for loops
Syntax for building lists in a single line
Adding conditional logic to list comprehensions
Performance and readability benefits
By the end, you’ll be comfortable using lambdas and list comprehensions to make your Python code shorter, faster, and more elegant—skills every data scientist should master.
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