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Introduction to programming with Python
  • Introduction to programming with Python 3
  • Preface
    • Common misconceptions about learning to program
    • The Hard truth about learning to program
    • Personal qualities for success
  • 1 - The way of the program
    • Python Programming Language
    • The first program
    • What is debugging?
    • Glossary
    • Exercises
  • 2 - Variables, expressions and statements
    • Values, types and variables
    • Common Built-in data types
    • Expressions
    • Code Format
    • Debugging
    • Glossary
    • Exercises
  • 3 - Functions
    • Python "built-in" Functions
    • Math Functions
    • Composition
    • User Defined Functions
    • PEP 8 Recommendations
    • Debugging
    • Glossary
    • Exercises
  • 4 - Conditionals
    • Boolean expressions
    • Conditional statements
    • PEP 8 Recommendations
  • 5 - Iteration
    • The while statement
    • The for statement
    • break and continue statements
    • Nested Loops
    • PEP 8 Recommendations
    • Debugging
    • Glossary
    • Exercises
  • 6 - A short introduction to testing: Building Reliable Software
  • 7 - A deeper dive into Strings, Lists and Tuples
    • More on Strings
    • More on Lists
    • More on Tuples
    • Debugging
    • Glossary
    • Exercises
  • 8 - A deeper look at Functions in Python
    • Function Preconditions and Postconditions
    • Positional and Keywords arguments
    • Nested Functions
    • Scope of a variable
    • Recursion
    • Functions' side effects
    • Glossary
    • Exercises
  • 9 - Code Documentation
    • Basics of Commenting Code
    • Documenting Code via Python Docstring
  • 10 - Sets and dictionaries
    • Sets
    • Dictionaries
    • Which data structure should I use?
    • Debugging
    • Glossary
    • Exercises
  • 11 - File I/O
    • Read/Write to a file
    • File management
    • Debugging
    • Glossary
    • Exercises
  • 12 - Handling Errors and Exceptions
  • 13 - Writing modules
  • 14 - Classes
    • Classes and Objects
    • Classes and Functions
    • Classes and Methods
    • Pythonic Magic: Understanding and Implementing Dunder Methods
    • Glossary
    • Exercises
  • 15 - Python's Type Hinting
  • Acknowledgements
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  • Conditional Execution
  • Alternative Execution
  • Chained Conditionals
  • Nested Conditionals
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  1. 4 - Conditionals

Conditional statements

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Last updated 1 year ago

Conditional Execution

In order to write useful programs, we almost always need the ability to check conditions and change the behaviour of the program accordingly. Conditional statements give us this ability. The simplest form is the if statement:

if x > 0: 
    print('x is positive') 

The Boolean expression after the if statement is called the condition. If it is true, then the indented statement gets executed. If not, nothing happens. This is illustrated in the flow diagram below.

if statements have the same structure as function definitions: a header followed by an indented body. Statements like this are called compound statements. There is no limit on the number of statements that can appear in the body, but there has to be at least one. Occasionally, it is useful to have a body with no statements (usually as a place keeper for code you haven't written yet). In that case, you can use the pass statement, which does nothing.

if x < 0: 
    pass # need to handle negative values! 

Alternative Execution

A second form of the if statement is alternative execution (also known as if-else statement), in which there are two possibilities and the condition determines which one gets executed. The syntax looks like this:

if x % 2 == 0: 
    print('x is even') 
else: 
    print('x is odd') 

If the remainder when x is divided by 2 is 0, then we know that x is even, and the program displays a message to that effect. If the condition is false, the second set of statements is executed. Since the condition must be true or false, exactly one of the alternatives will be executed. The alternatives are called branches, because they are branches in the flow of execution. This is clearly illustrated in the flow diagram shown below.

Chained Conditionals

Sometimes there are more than two possibilities and we need more than two branches. One way to express a computation like that is a chained conditional (also known as if-elif-else statement):

if x < y: 
    print('x is less than y') 
elif x > y: 
    print('x is greater than y') 
else: 
    print('x and y are equal')

elif is an abbreviation of "else if". Again, exactly one branch will be executed. There is no limit on the number of elif statements. If there is an else clause, it has to be at the end, but there doesn't have to be one.

if choice == 'a': 
    draw_a() 
elif choice == 'b': 
    draw_b() 
elif choice == 'c': 
    draw_c()

Each condition is checked in order. If the first is false, the next is checked, and so on. If one of them is true, the corresponding branch executes, and the statement ends. Even if more than one condition is true, only the first true branch executes. The flow diagram of a chained conditional is shown in below:

Nested Conditionals

One conditional can also be nested within another. We could have written the trichotomy example like this:

if x == y: 
    print('x and y are equal') 
else: 
    if x < y: 
        print('x is less than y') 
    else: 
        print('x is greater than y')

The outer conditional contains two branches. The first branch contains a simple statement. The second branch contains another if statement, which has two branches of its own. Those two branches are both simple statements, although they could have been conditional statements as well. Although the indentation of the statements makes the structure apparent, nested conditionals become difficult to read very quickly. In general, it is a good idea to avoid them when you can.

Nested conditionals structures should be used when several statements are common to more than one sub-branch as illustrated in the diagram below:

Here, statements B1 and B2 have been moved out of the nested if statement as it is common to branches C and D. The same flow of execution could have been done using chained conditionals, however statements B1 and B2 would have to be duplicate in each sub-branch.

Logical operators often provide a way to simplify nested conditional statements. For example, we can rewrite the following code using a single conditional:

if 0 < x: 
    if x < 10: 
        print('x is a positive single-digit number.')

The print statement is executed only if we make it past both conditionals, so we can get the same effect with the and operator:

if 0 < x and x < 10: 
    print('x is a positive single-digit number.')
Conditional if statement flow control diagram.
Conditional if-else statement flow control diagram.
Conditional if-elif-else statement flow-control diagram.
Nested conditionals if statements flow-control diagram.