Working with Data Types in Python
Definition of Data Types
Strings: A series of characters, enclosed in quotes
Integers: Whole numbers, e.g. 7, -5, 0
Floats: Decimal numbers, e.g. 3.14, -0.4
Booleans: Logical values, True or False
Function Defining and Invoking
Use the def keyword to define a function
Function signature: def function_name(parameters):
Invocation: function_name(arguments)
Iterables and Iteration
An iterable is a object that can be iterated (looped) upon
Use for loops to iterate over iterables
Conditional Statements and Loops
if, elif, else statements for decision-making
for and while loops for iteration
User Input and Validation
Use the input() function to get user input
Validate user input using conditional statements or loops
Arguments and Parameters in Functions
Parameters are defined in the function signature
Arguments are provided during function invocation
def greet(name): print("Hello, "+name)
Mathematics with Python
Basic arithmetic operators: +, -, *, /, %, **, //
Built-in math functions and modules, like math.sqrt()
Useful String Methods
String methods: upper(), lower(), strip(), replace(), ...
, Capitalizing the first letter: string[0].upper() + string[1:]
Understanding Functions and Arguments
Function types: built-in, user-defined
Additional argument types: default, keyword, arbitrary
Function Parameters and Return Statement
Define the return type by using the return statement
A function can have one return statement, or none
Full Name Function
Define and call a function that takes a first and last name as parameters
Implement capitalization using string methods
Collection Data Types
Lists, tuples, sets, and dictionaries
List: orderable, modifiable; my_list = []
Tuple: orderable, immutable; my_tuple = ()
Set: unordered, unique items; my_set = {} (use set())
Dictionary: key-value pairs; my_dict = {"key": "value"}
While Loops
while statement
Loop while a condition remains true
User Input Validation with While Loops
Loop until user provides valid input
Calculating the Area of a Rectangle
Implement a function to calculate the area of a rectangle
Use the input() function for user input
List Comprehension
Create lists based on existing lists using list comprehension
Example: [x * 2 for x in [1, 2, 3]] (equivalent to [2, 4, 6])
Sets
Definition of Data Types
Strings: A series of characters, enclosed in quotes
Integers: Whole numbers, e.g. 7, -5, 0
Floats: Decimal numbers, e.g. 3.14, -0.4
Booleans: Logical values, True or False
Function Defining and Invoking
Use the def keyword to define a function
Function signature: def function_name(parameters):
Invocation: function_name(arguments)
Iterables and Iteration
An iterable is a object that can be iterated (looped) upon
Use for loops to iterate over iterables
Conditional Statements and Loops
if, elif, else statements for decision-making
for and while loops for iteration
User Input and Validation
Use the input() function to get user input
Validate user input using conditional statements or loops
Arguments and Parameters in Functions
Parameters are defined in the function signature
Arguments are provided during function invocation
def greet(name): print("Hello, "+name)
Mathematics with Python
Basic arithmetic operators: +, -, *, /, %, **, //
Built-in math functions and modules, like math.sqrt()
Useful String Methods
String methods: upper(), lower(), strip(), replace(), ...
, Capitalizing the first letter: string[0].upper() + string[1:]
Understanding Functions and Arguments
Function types: built-in, user-defined
Additional argument types: default, keyword, arbitrary
Function Parameters and Return Statement
Define the return type by using the return statement
A function can have one return statement, or none
Full Name Function
Define and call a function that takes a first and last name as parameters
Implement capitalization using string methods
Collection Data Types
Lists, tuples, sets, and dictionaries
List: orderable, modifiable; my_list = []
Tuple: orderable, immutable; my_tuple = ()
Set: unordered, unique items; my_set = {} (use set())
Dictionary: key-value pairs; my_dict = {"key": "value"}
While Loops
while statement
Loop while a condition remains true
User Input Validation with While Loops
Loop until user provides valid input
Calculating the Area of a Rectangle
Implement a function to calculate the area of a rectangle
Use the input() function for user input
List Comprehension
Create lists based on existing lists using list comprehension
Example: [x * 2 for x in [1, 2, 3]] (equivalent to [2, 4, 6])
Sets
