Lab 02 - Variables, Functions, and Control

Starter Files

Download lab02.zip. Inside the archive, you will find starter files for the questions in this lab.

BYU Laptop Rentals Website

Logistics Review

Using Python

When running a Python file, you can use options on the command line to inspect your code further. Here are a few that will come in handy. If you want to learn more about other Python command-line options, take a look at the documentation.

Using no command-line options will run the code in the file you provide and return you to the command line. For example, if we want to run lab02.py this way, we would write in the terminal:
```
python3 lab02.py
```
-i: The -i option runs your Python script, then opens an interactive session. In an interactive session, you run Python code line by line and get immediate feedback instead of running an entire file all at once. To exit, type exit() into the interpreter prompt. You can also use the keyboard shortcut Ctrl-D on Linux/Mac machines or Ctrl-Z Enter on Windows.

If you edit the Python file while running it interactively, you will need to exit and restart the interpreter in order for those changes to take effect.

Here's how we can run lab02.py interactively:
```
python3 -i lab02.py
```
-m doctest: Runs doctests in a particular file. Doctests are surrounded by triple quotes (""") within functions.

Each test in the file consists of >>> followed by some Python code and the expected output (though the >>> are not seen in the output of the doctest command).
```
def add(x, y):
    """
    >>> add(5, 5)
    10
    >>> add(2,2)
    4
    """ 
    return x + y
```
To run doctests for lab02.py, we can run:
```
python3 -m doctest lab02.py
```

Pair programming

You can use this lab as a way to try out pair programming. Check out the pair programming page.

Topics Review

Consult this section if you need a refresher on the material for this lab. It's okay to skip directly to the questions and refer back here should you get stuck.

The topics in this section are all material you should be familiar with from your prior programming experiences. This sectio is just a quick overview of the Python syntax for all of these topics. If any of the topics here are unfamiliar, or you feel uncomfortable with, you may consider switching to the CS 110, Introduction to Programming class.

Basic Math
Functions
Control Statements
Error Messages

Division, Floor Div, and Modulo

Let's compare the different division-related operators in Python 3:

True Division: `/` (decimal division)	Floor Division: `//` (integer division)	Modulo: `%` (remainder)
`>>> 1 / 5 0.2 >>> 25 / 4 6.25 >>> 4 / 2 2.0 >>> 5 / 0 ZeroDivisionError`	`>>> 1 // 5 0 >>> 25 // 4 6 >>> 4 // 2 2 >>> 5 // 0 ZeroDivisionError`	`>>> 1 % 5 1 >>> 25 % 4 1 >>> 4 % 2 0`

Notice that Python outputs ZeroDivisionError for certain cases. We will go over this later in this lab under Error Messages.

One useful technique involving the % operator is to check whether a number x is divisible by another number y:

x % y == 0

For example, in order to check if x is an even number:

>>> x = 1234 + 5678 * 9
>>> x % 2 == 0
True

Functions

If we want to execute a series of statements over and over, we can abstract them away into a function to avoid repeating code.

For example, let's say we want to know the results of multiplying the numbers 1-3 by 3 and then adding 2 to it. Here's one way to do it:

>>> 1 * 3 + 2
5
>>> 2 * 3 + 2
8
>>> 3 * 3 + 2
11

If we wanted to do this with a larger set of numbers, that'd be a lot of repeated code! Let's write a function to capture this operation given any input number.

def foo(x):
    return x * 3 + 2

This function, called foo, takes in a single argument and will return the result of multiplying that argument by 3 and adding 2.

Now we can call this function whenever we want this operation to be done:

>>> foo(1)
5
>>> foo(2)
8
>>> foo(1000)
3002

Applying a function to some arguments is done with a call expression.

Call Expressions

A call expression applies a function, which may or may not accept arguments. The call expression evaluates to the function's return value.

The syntax of a function call:

  add   (    2   ,    3   )
   |         |        |
operator  operand  operand

Every call expression requires a set of parentheses delimiting its comma-separated operands.

To evaluate a function call:

Evaluate the operator, and then the operands (from left to right).
Apply the operator to the operands (the values of the operands).

If an operand is a nested call expression, then these two steps are applied to that inner operand first in order to evaluate the outer operand.

`return` and `print`

Most functions that you define will contain a return statement. The return statement will give the result of some computation back to the caller of the function and exit the function. For example, the function square below takes in a number x and returns its square.

def square(x):
    """
    >>> square(4)
    16
    """
    return x * x

When Python executes a return statement, the function terminates immediately. If Python reaches the end of the function body without executing a return statement, it will automatically return None.

In contrast, the print function is used to display values in the Terminal. This can lead to some confusion between print and return because calling a function in the Python interpreter will print out the function's return value.

However, unlike a return statement, when Python evaluates a print expression, the function does not terminate immediately.

def what_prints():
    print('Hello World!')
    return 'Exiting this function.'
    print('CS111 is awesome!')

>>> what_prints()
Hello World!
'Exiting this function.'

Notice also that print will display text without the quotes, but return will preserve the quotes.

Control

Boolean Operators

Python supports three boolean operators: and, or, and not:

>>> a = 4
>>> a < 2 and a > 0
False
>>> a < 2 or a > 0
True
>>> not (a > 0)
False

and evaluates to True only if both operands evaluate to True. If at least one operand is False, then and evaluates to False.
or evaluates to True if at least one operand evaluates to True. If both operands are False, then or evaluates to False.
not evaluates to True if its operand evaluates to False. It evaluates to False if its operand evalutes to True.

What do you think the following expression evaluates to? Try it out in the Python interpreter.

>>> True and not False or not True and False

It is difficult to read complex expressions, like the one above, and understand how a program will behave. Using parentheses can make your code easier to understand. Python interprets that expression in the following way:

>>> (True and (not False)) or ((not True) and False)

This is because boolean operators, like arithmetic operators, have an order of operation:

not has the highest priority
and
or has the lowest priority

Truthy and Falsey Values: It turns out and and or work on more than just booleans (True, False). Python values such as 0, None, '' (the empty string), and [] (the empty list) are considered false values. All other values are considered true values.

Short Circuiting

What do you think will happen if we type the following into Python?

1 / 0

Try it out in Python! You should see a ZeroDivisionError. But what about this expression?

True or 1 / 0

Consider this expression as well.

True and 0 and 1 / 0

The first one evaluates to True and the second will evaluate to 0, because Python's and and or operators short-circuit. That is, they don't necessarily evaluate every operand.

Operator	Checks if:	Evaluates from left to right up to:	Example
`and`	All values are true	The first false value	`False and 1 / 0` evaluates to `False`
`or`	At least one value is true	The first true value	`True or 1 / 0` evaluates to `True`

Short-circuiting happens when the operator reaches an operand that allows them to make a conclusion about the expression. For example, and will short-circuit as soon as it reaches the first false value because it then knows that not all the values are true.

If and and or do not short-circuit, they just return the last value; another way to remember this is that and and or always return the last thing they evaluate, whether they short circuit or not. Keep in mind that and and or don't always return booleans when using values other than True and False.

Try doing Q1: WWPD: Veritasiness

If Statements

Conditional statements let programs execute different lines of code depending on certain conditions. Let’s review the if-elif-else syntax. The general form looks like this.

if <conditional expression>:
    <suite of statements>
elif <conditional expression>:
    <suite of statements>
else:
    <suite of statements>

The else if/elif and else clauses are optional, and you can have any number of elif clauses, but only 1 else.
A conditional expression is an expression that evaluates to either a truthy value (True, a non-zero integer, etc.) or a falsy value (False, 0, None, "", [], etc.).
Only the first if/elif expression that evaluates to a truthy value will execute its indented code block.
If none of the conditional expressions evaluate to a true value, then the else suite is executed.

You can review the syntax of if statements further in Section 1.5.4 of Composing Programs.

Tip: We sometimes see code that looks like this:
if x > 3:
    return True
else:
    return False
This can be written more concisely as return x > 3. If your code looks like the code above, see if you can rewrite it more clearly!

While Loops

You can review the syntax of while loops in Section 1.5.5 of Composing Programs. It will also be reviewed down below.

A while loop requires an expression that evaluates to either a truthy or falsey value. As long as that expression evaluates to truthy, the code in the while loop's body will continue to execute. Because of this, you must be careful not to put a condition that will never become falsey or else the while loop will run forever! Here's the syntax:

while <conditional expression>:
    <suite of statements>

Here's an example of a while loop that will iterate (execute the loop's body) 5 times using a variable called i.

i = 0
while i < 5:
    print(i)
    i += 1 # equivalent to `i = i + 1`

Try doing Q2: WWPD: Control

Error Messages

By now, you've probably seen a couple of error messages. They might look intimidating, but error messages are very helpful for debugging code. The following are some common types of errors:

Error Types	Descriptions
`SyntaxError`	Contained improper syntax (e.g. missing a colon after an `if` statement or forgetting to close parentheses/quotes)
`IndentationError`	Contained improper indentation (e.g. inconsistent indentation of a function body)
`TypeError`	Attempted operation on incompatible types (e.g. trying to add a function and a number) or called function with the wrong number of arguments
`ZeroDivisionError`	Attempted division by zero

Using these descriptions of error messages, you should be able to get a better idea of what went wrong with your code. If you run into error messages, try to identify the problem before asking for help. You can often Google unfamiliar error messages to see if others have made similar mistakes to help you debug.

For example:

>>> square(3, 3)
Traceback (most recent call last):
    File "<stdin>", line 1, in <module>
TypeError: square() takes 1 positional argument but 2 were given

Note:

The last line of an error message tells us the type of the error. In the example above, we have a TypeError.
The error message tells us what we did wrong -- we gave square 2 arguments when it can only take in 1 argument. In general, the last line is the most helpful.
The second to last line of the error message tells us on which line the error occurred. This helps us track down the error. In the example above, TypeError occurred at line 1.

Required Questions

What Would Python Display? (WWPD)

Q1: WWPD: Veritasiness

The "What Would Python Display?" (WWPD) questions are designed to test your knowledge and understanding of what the given Python code is doing. You should read the code and try to determine what would be displayed by the Python interpreter. After you've made your guess, or if you are completely stumped on what it is doing, type the code in to the interpreter and see what happens and if you were correct. If not, spend some time figuring out what was wrong.

Use the following "What Would Python Display?" questions to test your knowledge on short-circuiting:

>>> True and 13
______
>>> False or 0
______
>>> not 10
______
>>> not None
______

>>> True and 1 / 0 and False
______
>>> True or 1 / 0 or False
______
>>> True and 0
______
>>> False or 1
______
>>> 1 and 3 and 6 and 10 and 15
______
>>> -1 and 1 > 0
______
>>> 0 or False or 2 or 1 / 0
______

>>> not 0
______
>>> (1 + 1) and 1
______
>>> 1/0 or True
______
>>> (True or False) and False
______

Q2: WWPD: Control

Use the following "What Would Python Display?" questions to test your knowledge on control:

Hint: Make sure your while loop conditions eventually evaluate to a false value, or they'll never stop! Typing [Ctrl]+[C] will stop infinite loops in the interpreter.

>>> def func(a, b):
...     if a == 4:
...         return 6
...     elif b % 2 == 0:
...         return a // 2
...     else:
...         return 3 * b + 1
>>> func(10, 6)
______
>>> func(4, 6)
______
>>> func(0, 3)
______

>>> def how_big(x):
...     if x > 10:
...         print('huge')
...     elif x > 5:
...         return 'big'
...     elif x > 0:
...         print('small')
...     else:
...         print("nothing")
>>> how_big(7)
______
>>> how_big(12)
______
>>> how_big(-1)
______

>>> n = 3
>>> while n >= 0:
...     n -= 1
...     print(n)
______
______
______
______

>>> positive = 13
>>> while positive:
...    print("positive?")
...    positive -= 3
______

Coding Practice

Q3: Falling Factorial

Let's write a function falling, which is a "falling" factorial that takes two arguments, n and k, and returns the product of k consecutive numbers, starting from n and working downwards. When k is 0, the function should return 1.

def falling(n, k):
    """Compute the falling factorial of n to depth k.

    >>> falling(6, 3)  # 6 * 5 * 4
    120
    >>> falling(4, 3)  # 4 * 3 * 2
    24
    >>> falling(4, 1)  # 4
    4
    >>> falling(4, 0)
    1
    """
    "*** YOUR CODE HERE ***"

Q4: Sum Digits

Write a function that takes in a nonnegative integer and sums its individual digits.

Try to do this problem without converting the integer into a string.

def sum_digits(y):
    """Sum all the digits of y.

    >>> sum_digits(10) # 1 + 0 = 1
    1
    >>> sum_digits(4224) # 4 + 2 + 2 + 4 = 12
    12
    >>> sum_digits(1234567890)
    45
    >>> a = sum_digits(123) # make sure that you are using return rather than print
    >>> a
    6 
    """
    "*** YOUR CODE HERE ***"

Hint: Given some integer n, n % 10 would evaluate to the rightmost digit in n. Doing n // 10 would 'slice off' the rightmost digit of n. Demo the two expressions. How can you use these two expressions to grab each digit and accumuulate it to the sum?

Submit

Everyone will submit this lab for experience in the submission process

Normally, if you attend the lab, you don't have to submit anything. If you don't attend the lab you will have to submit working code.

Submissions will be in Canvas.

Submit the lab02.py file to Gradescope in the window on the assignment page.

Extra Practice

These questions are optional and will not affect your score on this assignment. However, they are great practice for future assignments, projects, and exams. Attempting these questions can be valuable in helping cement your knowledge of course concepts.

Q5: Debugging

The following is a quick resource on different debugging techniques that will be helpful for you to use in this class. You can refer to this debugging article to answer debugging questions.

Q6: WWPD: What If?

Use the following "What Would Python Display?" questions to test your knowledge:

Hint: print (unlike return) does not cause the function to exit.

>>> def ab(c, d):
...     if c > 5:
...         print(c)
...     elif c > 7:
...         print(d)
...     print('foo')
>>> ab(10, 20)
______
______

>>> def bake(cake, make):
...     if cake == 0:
...         cake = cake + 1
...         print(cake)
...     if cake == 1:
...         print(make)
...     else:
...         return cake
...     return make
>>> bake(0, 29)
______
______
______
>>> bake(1, "mashed potatoes")
______
______

Q7: Double Eights

Write a function that takes in a number and determines if the digits contain two adjacent 8s.

def double_eights(n):
    """Return true if n has two eights in a row.
    >>> double_eights(8)
    False
    >>> double_eights(88)
    True
    >>> double_eights(2882)
    True
    >>> double_eights(880088)
    True
    >>> double_eights(12345)
    False
    >>> double_eights(80808080)
    False
    """
    "*** YOUR CODE HERE ***"

Lab 02 - Variables, Functions, and Control

Lab 02 - Variables, Functions, and Control

Starter Files

Logistics Review

Using Python

Pair programming

Topics Review

Division, Floor Div, and Modulo

Functions

Call Expressions

return and print

Control

Boolean Operators

Short Circuiting

If Statements

While Loops

Error Messages

Required Questions

What Would Python Display? (WWPD)

Q1: WWPD: Veritasiness

Q2: WWPD: Control

Coding Practice

Q3: Falling Factorial

Q4: Sum Digits

Submit

Extra Practice

Q5: Debugging

Q6: WWPD: What If?

Q7: Double Eights

`return` and `print`