Lists in Python

Learning Objectives Analyze the time complexity (Big O notation) of common list operations and algorithms. Construct complex single-line list comprehensions with nested loops and conditional logic. Utilize lambda functions with higher-order functions like `map()`, `filter()`, and `sorted()` to process list data. Differentiate between shallow and deep copies of lists and predict their behavior in programs. Explain the memory implications of list growth and how Python's dynamic array implementation works. Refactor traditional for-loops into more efficient and Pythonic list-based solutions. How does a platform like Instagram instantly filter millions of photos by a specific tag? 📸 It all comes down to mastering high-performance operations on lists of data. You've ma...

TermDefinitionExample List ComprehensionA concise, syntactic construct for creating a list based on existing iterables. It provides a more readable and often faster alternative to using for-loops and `append()`.`squares = [x**2 for x in range(10) if x % 2 == 0]` creates a list of squares of even numbers from 0 to 9: `[0, 4, 16, 36, 64]`. Lambda FunctionA small, anonymous function defined with the `lambda` keyword. It can take any number of arguments but can only have one expression, which is evaluated and returned.`add = lambda x, y: x + y` creates a function that adds two numbers. It's often used inside other functions like `sorted(data, key=lambda item: item['price'])`. Shallow CopyCreates a new list object, but inserts references to the objects found in the original list...

List Comprehension Syntax `new_list = [expression for item in iterable if condition]` This is the fundamental pattern for building lists. The `if condition` part is optional and used for filtering elements. The `expression` is what is evaluated and placed into the new list for each `item` that satisfies the condition. Functional Programming Pattern with Lists `result = function(lambda arguments: expression, list_data)` Used with higher-order functions like `map()`, `filter()`, and `sorted(key=...)`. A lambda function is passed as an argument to define the transformation, filtering logic, or sorting key on-the-fly without defining a separate named function. Copying Rule for Mutable Objects Assignment (`b = a`) creates a reference. Slicing (`b = a[:]`) or `.copy()` creat...