Python Adventures

🐍 Day 11: List Comprehensions & Lambda Functions 1. Learning Objectives By the end of Day 11, you will be able to: Write list comprehensions to create lists in a single, readable line Apply dictionary and set comprehensions for other collection types Use lambda functions for quick, throwaway operations Understand when to use comprehensions vs. traditional loops Recognize the map() , filter() , and reduce() functional tools Know that Python's way is often more readable than classic functional programming 2. Concept Explanation 2.1 Why List Comprehensions? — Power in One Line Python's list comprehensions let you transform, filter, and create lists in a single, elegant expression. They often replace several lines of loop code, making your intent crystal clear. Traditional loop vs. comprehension: # Traditional loop: create a list of squares squares = [] for x in range(10): squares.append(x ** 2) # List comprehension: same result squares = [x ** 2 fo...

🐍 Day 9: File Handling — Reading & Writing Files 1. Learning Objectives By the end of Day 9, you will be able to: Open, read, and write files using Python's built-in open() function Understand file modes ( r , w , a , r+ , x ) and when to use each Use the with statement as a context manager for safe file handling Read files line by line, as a whole, or into a list Write and append data to files Handle common file-related errors gracefully Process real-world data from text and CSV files 2. Concept Explanation 2.1 Why File Handling? — Persistence Beyond Runtime So far, all your programs have been volatile — data disappears the moment the program ends. File handling gives your programs persistence : Without Files With Files Data lost on exit Data survives between runs Can't share information Read/write configs, logs, exports Limited to keyboard input...