Guiding Your Code: Control Flow in Python for Data Science
Guiding Your Code: Control Flow in Python for Data Science You've learned about Python's variables and data types – the fundamental nouns and adjectives of the language. Now, it's time to learn how to make your Python programs make decisions and repeat actions , which are absolutely crucial for any meaningful data task. This is where control flow comes in! Control flow statements dictate the order in which your program's instructions are executed. They allow your code to adapt to different scenarios, process large amounts of data efficiently, and automate repetitive tasks. In data science, this means anything from filtering specific data points to iterating through millions of records for analysis. Let's explore the core control flow mechanisms in Python: if/else statements and for / while loops. 1. Conditional Statements: if , elif , and else (Making Decisions) Imagine you're analyzing customer data, and you want to categorize customers based on their purc...