Functions and their roles in code organization

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Each of these data structures has its own advantages and is used in different situations. For example, lists are useful for storing ordered collections of objects, dictionaries allow you to quickly find values ​​by key, and tuples can be used to create immutable sets of data.

Functions allow you to break down large tasks into smaller, more manageable parts, making your code more readable, modular, and maintainable. Functions also help you avoid duplicating your code, which improves its efficiency and reduces the likelihood of errors.

Functions in Python begin with the keyword "def" and are followed by the function greece email list name, a list of parameters in parentheses, and a colon. Then comes the block of code that is executed when the function is called. The function may end with the keyword "return", which returns a value from the function.

Example of a function definition in Python:


Functions can also be used to separate code into separate files and modules, making it easier to organize and manage. In addition, Python has built-in functions and modules such as math, random, string, and others that provide extensive capabilities for working with different types of data and performing various operations.