PART 10 - Python Tutorial | Functions In Python With Examples

Oct 12, 2020Download as pptx, pdf

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DEFINING AND CALLING A FUNCTION IN
PYTHON

WHY TO USE FUNCTIONS ?
• Reusability – finding greater of two numbers
• Avoiding repetitive code
• Users do not need to know how function is working

USER DEFINED VS BUILT-IN FUNCTIONS
• print(), len(), sort() – built-in

PASSING INFORMATION TO A FUNCTION
Multiple calls

FUNCTION PARAMETERS AND ARGUMENTS
• Parameters -> Function definition inputs
• Arguments -> Function call inputs
• Used interchangeably

PASSING ARGUMENTS TO FUNCTIONS
• A function can have multiple parameters
• A function call may need multiple arguments
• Positional arguments
• Keyword arguments

POSITIONAL ARGUMENTS
• Interchange the arguments
• Increase/Decrease the number of arguments

KEYWORD ARGUMENTS
• Interchange
• Wrong keyword

DEFAULT VALUES
• One can define default values for each function parameter
• If an argument for a parameter is not passed, default value is used

PART 10 - Python Tutorial | Functions In Python With Examples

RETURN VALUES
• A function doesn’t always have to display the output
• It can also return value back to the function call
• return statement is used

PREVENTING A FUNCTION
FROM MODIFYING A LIST

This document discusses Python for loops and lists. It covers iterating through lists with for loops, avoiding indentation errors, creating numerical lists with the range function, slicing lists to access subsets of elements, copying lists, and using list comprehensions. Examples are provided like printing a multiplication table using a one-line list comprehension and slicing a fruits list to print elements at odd and even positions.

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This document discusses loops in Python. It introduces loops as a way to repeat instructions multiple times until a condition is met. The two main types of loops in Python are for loops, which iterate over a sequence, and while loops, which execute statements as long as a condition is true. It provides examples of for and while loops and covers else statements, loop control statements like break and continue, and some key points about loops in Python.

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This document provides an overview of the key clauses in a SQL SELECT statement: 1. The SELECT, FROM, WHERE, GROUP BY, HAVING, and ORDER BY clauses must be written in a specific order. The SELECT clause chooses the columns and FROM clause specifies the table. 2. The WHERE clause filters rows based on conditions and HAVING filters groups. GROUP BY divides rows into groups and ORDER BY sorts the results. 3. Examples demonstrate how each clause works, such as a SELECT statement that filters rows from a student table where the student ID equals 2.

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Loops repeat a block of code until a certain condition is met. The three types of loops in C++ are: 1. For loops use an initialization statement, test expression, and update statement to control the loop. 2. While loops continuously execute the code block as long as the test expression is true. 3. Do-while loops always execute the code block at least once before checking the test expression, and continue looping as long as the test is true.

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