This document is a comprehensive Python tutorial for beginners. It covers essential topics such as user input, concatenation, error handling, functions, data structures, and more. Each section includes practical examples and exercises to reinforce learning and improve programming skills. It serves ...
Python Tutorial - Python Full Course for Beginners
Getting User Input and Concatenation: Use input function, concatenation.
Getting User Input and Concatenation
The input() function
Used to get user input
Returns a string value
Can be concatenated with other strings
Concatenation
Joining two or more strings together
Use the + operator for concatenation
Example
name = input("What is your name? ")
print("Hello, " + name)
ValueError
Occurs when an operation or function receives a value of an inappropriate type
Example: Trying to convert a string to an integer using the int() function and the
string does not contain a number
age = int(input("What is your age? "))
Displaying Results
Use the print() function
Accepts any number of arguments
Separate arguments with commas
Age Calculator Concept
Create a program that calculates a user's age
Get user's birth year and current year
Calculate the difference between the two
Display the result using the print() function
birth_year = int(input("What year were you born? "))
current_year = int(input("What is the current year? "))
age = current_year - birth_year
print("You are " + str(age) + " years old.")
Getting User Input and Concatenation
Use the input() function
Get user input as a string
Concatenate strings with the + operator
Display results with the print() function
Handle ValueErrors as needed
Value Error: Discusses the TypeError caused by invalid value.
Value Error: TypeError caused by invalid value
In Python, a ValueError is a type of exception that is raised when an operation or
function receives an argument of an inappropriate type. This is typically caused by
passing an argument of a type that is not expected by the function or operation.
One common example of a ValueError is the TypeError, which is raised when an
operation or function receives a value of an inappropriate type. For instance,
consider the following code:
name = "John"
age = "thirty"
print(f"{name} is {age} years old.")
This code will produce the following output:
, John is thirty years old.
However, this output is incorrect because the value of age is a string, not an
integer. To fix this error, we can use the int() function to convert the string
value of age to an integer:
name = "John"
age = "thirty"
age = int(age)
print(f"{name} is {age} years old.")
This code will produce the following output:
John is 30 years old.
By using the int() function, we have converted the string value of age to an
integer, which allows the print() function to correctly display the age of the
person.
Other examples of ValueError include passing a string to a function that expects an
integer, or passing a list to a function that expects a dictionary. In general, to
avoid ValueErrors, it is important to ensure that the arguments passed to functions
and operations are of the correct type.
It is also important to note that ValueErrors can be handled using exception
handling techniques in Python. This allows the program to continue running even if
a ValueError occurs, and provides a way to gracefully handle and recover from the
error.
In summary, ValueErrors are raised when an operation or function receives an
argument of an inappropriate type. To avoid ValueErrors, it is important to ensure
that the arguments passed to functions and operations are of the correct type.
Exception handling techniques can also be used to handle and recover from
ValueErrors.
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------------------------------------------------Strings and Character Operations:
Function Creation and Usage
Organizing code through the creation and usage of functions in Python
Passing parameters and arguments to functions
Returning Values from Functions
Understanding the concept of returning values from functions
Using the return statement to send a value back to the caller
Modules and Code Organization
Organizing code using modules in Python
Importing modules and using their functionalities
Game Loop and User Commands
Creating a game loop to handle user commands
Implementing a simple command-line game using a game loop
Implementing Nested Loops and Coordinates
Understanding the concept of nested loops
Implementing nested loops to handle coordinates and grids
Exercise: Program with Lists, Tuples, and Dictionaries
Practicing the usage of lists, tuples, and dictionaries in a programming exercise
Understanding the differences between these data structures
Using Logical Operators in Python
Understanding the concept of logical operators (and, or, not)
Using logical operators in Python to make decisions
Function in Python: Organizing Code
Organizing code through the use of functions in Python
Passing parameters and arguments to functions
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