This chapter will discuss various operators used in conditional expressions, followed by control structures.

## Comparison operators

These operators yield `True`

or `False`

boolean values as a result of comparison between two values.

```
>>> 0 != '0'
True
>>> 0 == int('0')
True
>>> 'hi' == 'Hi'
False
>>> 4 > 3.14
True
>>> 4 >= 4
True
>>> 'bat' < 'at'
False
>>> 2 <= 3
True
```

Python is a strictly typed language. So, unlike context-based languages like Perl, you have to explicitly use type conversion when needed. As an exercise, try using any of the

`<`

or`<=`

or`>`

or`>=`

operators between numeric and string values.See docs.python: Comparisons and docs.python: Operator precedence for documentation and other details.

## Truthy and Falsy values

The values by themselves have *Truthy* and *Falsy* meanings when used in conditional context. You can use the `bool()`

built-in function to explicitly convert them to boolean values.

For numbers, **zero** evaluates to `False`

and `True`

otherwise. An **empty** string evaluates to `False`

and `True`

otherwise. The `None`

value evaluates to `False`

. See docs.python: Truth Value Testing for more details.

```
>>> type(True)
<class 'bool'>
>>> type(False)
<class 'bool'>
>>> bool(4)
True
>>> bool(0)
False
>>> bool(-1)
True
>>> bool('')
False
>>> bool('hi')
True
>>> bool(None)
False
```

## Boolean operators

Use `and`

and `or`

boolean operators to combine comparisons. The `not`

operator is useful to invert a condition.

```
>>> 4 > 3.14 and 2 <= 3
True
>>> 'hi' == 'Hi' or 0 != '0'
True
>>> not 'bat' < 'at'
True
>>> num = 0
>>> not num
True
```

The `and`

and `or`

operators are also known as **short-circuit** operators. These will evaluate the second expression if and only if the first one evaluates to `True`

and `False`

respectively. Also, these operators return the result of the expressions used, which can be a non-boolean value. The `not`

operator always returns a boolean value.

```
>>> num = 5
# here, num ** 2 will NOT be evaluated
>>> num < 3 and num ** 2
False
# here, num ** 2 will be evaluated as the first expression is True
>>> num < 10 and num ** 2
25
# not operator always gives a boolean value
>>> not (num < 10 and num ** 2)
False
>>> 0 or 3
3
>>> 1 or 3
1
```

## Comparison chaining

You can chain comparison operators, which is similar to mathematical notations. Apart from terser conditional expression, this also has the advantage of having to evaluate the middle expression only once.

```
>>> num = 5
# using boolean operator
>>> num > 3 and num <= 5
True
# comparison chaining
>>> 3 < num <= 5
True
>>> 4 < num > 3
True
>>> 'bat' < 'cat' < 'cater'
True
```

## Membership operator

The `in`

comparison operator checks if a given value is part of a collection of values. Here's an example with `range()`

function:

```
>>> num = 5
# range() will be discussed in detail later in this chapter
# this checks if num is one among the integers 3 or 4 or 5
>>> num in range(3, 6)
True
```

You can build your own collection of values using various data types like `list`

, `set`

, `tuple`

etc. These data types will be discussed in later chapters.

```
>>> num = 21
>>> num == 10 or num == 21 or num == 33
True
# RHS value here is a tuple data type
>>> num in (10, 21, 33)
True
>>> 'cat' not in ('bat', 'mat', 'pat')
True
```

When applied to strings, the `in`

operator performs sub-string comparison.

```
>>> fruit = 'mango'
>>> 'an' in fruit
True
>>> 'at' in fruit
False
```

## if-elif-else

Similar to function definition, control structures require indenting its body of code. And, there's a `:`

character after you specify the conditional expression. You should be already familiar with `if`

and `else`

keywords from other programming languages. Alternate conditional branches are specified using the `elif`

keyword. You can nest these structures and each branch can have one or more statements.

Here's an example of `if-else`

structure within a user defined function. Note the use of indentation to separate different structures. Examples with `elif`

keyword will be seen in later chapters.

```
# odd_even.py
def isodd(n):
if n % 2:
return True
else:
return False
print(f'{isodd(42) = }')
print(f'{isodd(-21) = }')
print(f'{isodd(123) = }')
```

Here's the output of the above program.

```
$ python3.9 odd_even.py
isodd(42) = False
isodd(-21) = True
isodd(123) = True
```

As an exercise, reduce the `isodd()`

function body to a single statement instead of four. This is possible with features already discussed in this chapter, the ternary operator discussed in the next section would be an overkill.

Python doesn't have a

`switch`

control structure. See stackoverflow: switch statement in Python? for workarounds.

## Ternary operator

Python doesn't support the traditional `?:`

ternary operator syntax. Instead, it uses `if-else`

keywords in the same line as illustrated below.

```
def absolute(num):
if num >= 0:
return num
else:
return -num
```

The above `if-else`

structure can be rewritten using ternary operator as shown below:

```
def absolute(num):
return num if num >= 0 else -num
```

Or, just use the `abs()`

built-in function, which has support for complex numbers, fractions, etc. Unlike the above program, `abs()`

will also handle `-0.0`

correctly.

See stackoverflow: ternary conditional operator for other ways to emulate the ternary operation in Python.

`True`

and`False`

boolean values are equivalent to`1`

and`0`

in integer context. So, for example, the above ternary expression can also be written as`(-num, num)[num >= 0]`

.

## for loop

Counter based loop can be constructed using the `range()`

built-in function and the `in`

operator. The `range()`

function can be called in the following ways:

```
range(stop)
range(start, stop)
range(start, stop, step)
```

Both ascending and descending order arithmetic progression can be constructed using these variations. When skipped, default values are `start=0`

and `step=1`

. For understanding purposes, a `C`

like code snippet is shown below.

```
# ascending order
for(i = start; i < stop; i += step)
# descending order
for(i = start; i > stop; i += step)
```

Here's is a sample multiplication table.

```
>>> num = 9
>>> for i in range(1, 5):
... print(f'{num} * {i} = {num * i}')
...
9 * 1 = 9
9 * 2 = 18
9 * 3 = 27
9 * 4 = 36
```

The `range`

, `list`

, `tuple`

, `str`

data types (and some more) fall under **sequence** types. There are multiple operations that are common to these types (see docs.python: Common Sequence Operations for details). For example, you could iterate over these types using the `for`

loop. The `start:stop:step`

slicing operation is another commonality among these types. You can test your understanding of slicing syntax by converting `range`

to `list`

or `tuple`

type.

```
>>> list(range(5))
[0, 1, 2, 3, 4]
>>> list(range(2, 11, 2))
[2, 4, 6, 8, 10]
>>> list(range(120, 99, -4))
[120, 116, 112, 108, 104, 100]
```

As an exercise, create this arithmetic progression `-2, 1, 4, 7, 10, 13`

using the `range()`

function. Also, see what value you get for each iteration of `for c in 'hello'`

.

## while loop

Use `while`

loop when you want to execute statements as long as the condition evaluates to `True`

. Here's an example:

```
# countdown.py
count = int(input('Enter a positive integer: '))
while count > 0:
print(count)
count -= 1
print('Go!')
```

Here's a sample run of the above script:

```
$ python3.9 countdown.py
Enter a positive integer: 3
3
2
1
Go!
```

Python doesn't support

`++`

or`--`

operations. As shown in the above program, combining arithmetic operations with assignment is supported.

## break and continue

The `break`

statement is useful to quit the current loop immediately. Here's an example where you can keep getting the square root of a number until you enter an empty string.

```
>>> while True:
... num = input('enter a number: ')
... if len(num) == 0:
... break
... print(f'square root of {num} is {float(num) ** 0.5:.4f}')
...
enter a number: 2
square root of 2 is 1.4142
enter a number: 3.14
square root of 3.14 is 1.7720
enter a number:
>>>
```

When `continue`

is used, further statements are skipped and the next iteration of the loop is started, if any. This is frequently used in file processing when you need to skip certain lines like headers, comments, etc.

```
>>> for num in range(10):
... if num % 3:
... continue
... print(f'{num} * 2 = {num * 2}')
...
0 * 2 = 0
3 * 2 = 6
6 * 2 = 12
9 * 2 = 18
```

As an exercise, use appropriate `range()`

logic so that the `if`

statement is no longer needed.

See docs.python: break, continue, else for more details and the curious case of

`else`

clause in loops.

## Assignment expression

Quoting from docs.python: Assignment expressions:

An assignment expression (sometimes also called a “named expression” or “walrus”) assigns an expression to an identifier, while also returning the value of the expression.

The `while`

loop snippet from the previous section can be re-written using assignment expression as shown below:

```
>>> while len(num := input('enter a number: ')) > 0:
... print(f'square root of {num} is {float(num) ** 0.5:.4f}')
...
enter a number: 2
square root of 2 is 1.4142
enter a number: 3.14
square root of 3.14 is 1.7720
enter a number:
>>>
```

See PEP 572: Assignment Expressions and my book on regular expressions for more details and examples.

## Exercises

- If you don't already know about
**FizzBuzz**, read Using FizzBuzz to Find Developers who Grok Coding and implement it in Python. See also Why Can't Programmers.. Program? - Print all numbers from
`1`

to`1000`

(inclusive) which reads the same in reversed form in both binary and decimal format. For example,`33`

in decimal is`100001`

in binary and both of these are palindromic. You can either implement your own logic or search online for palindrome testing in Python. - Write a function that returns the maximum nested depth of curly braces for a given string input. For example,
`'{{a+2}*{{b+{c*d}}+e*d}}'`

should give`4`

. Unbalanced or wrongly ordered braces like`'{a}*b{'`

and`'}a+b{'`

should return`-1`

.

If you'd like even more exercises to test your understanding, check out these excellent resources:

- Exercism, Practicepython — beginner friendly, problems are marked with difficulty levels
- Codewars, Adventofcode, Projecteuler — more challenging
- Checkio, Codingame, Codecombat — gaming based challenges
- /r/dailyprogrammer — not active currently, but there are plenty of past challenges, along with discussions

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