Python conditional statements examples w3schools

Python conditional statements examples w3schools

I'm happy to provide the information you requested! Here are some examples of Python's conditional statements with explanations and code snippets from W3Schools:

If Statement

The if statement is used to execute a block of code if a specified condition is true.

x = 5
if x > 10:
print("x is greater than 10")
else:
print("x is less than or equal to 10")

In this example, the variable x is assigned the value 5. The if statement checks if x is greater than 10, and since it's not, it executes the code in the else block, printing "x is less than or equal to 10".

If-Else Statement

The if-else statement is used to execute a different block of code if a specified condition is false.

x = 5
if x > 10:
print("x is greater than 10")
else:
print("x is less than or equal to 10")

This is the same example as before, but with an else statement. If x is not greater than 10, it will execute the code in the else block.

If-Elif Statement

The if-elif statement is used to execute a different block of code for each condition specified.

x = 5
if x > 10:
print("x is greater than 10")
elif x == 5:
print("x is equal to 5")
else:
print("x is less than or equal to 4")

In this example, the if-elif statement checks if x is greater than 10, and since it's not, it moves on to the next condition. It checks if x is equal to 5, which it is, so it executes the code in that block.

If-Elsifs Statement

The if-elsifs statement is similar to the if-elif statement, but with multiple elif statements.

x = 5
if x > 10:
print("x is greater than 10")
elif x == 5:
print("x is equal to 5")
elif x < 0:
print("x is less than zero")
else:
print("x is less than or equal to 4")

In this example, the if-elsifs statement checks multiple conditions and executes different blocks of code for each condition.

Switch Statement

Python does not have a switch statement like some other languages. Instead, you can use dictionaries or if-elif statements to achieve similar results.

Here's an example using a dictionary:

x = 5
switcher={
"a": lambda:print("value is A"),
"b": lambda:print("value is B"),
"c": lambda:print("value is C")
}
switcher.get(x,lambda:print("none"))()

This example uses a dictionary to map values to functions. The get method returns the function for the specified value if it exists in the dictionary, and the default function (which prints "none") otherwise.

I hope this helps! Let me know if you have any questions or need further clarification.

If statement in Python example

I'm happy to provide a response in English with Python examples!

When dealing with complex systems and algorithms, understanding how to create robust and efficient solutions is crucial. One way to achieve this is by using abstract data types, such as linked lists.

A linked list is a linear collection of elements, where each element points to the next one. This allows for efficient insertion or deletion of nodes at any position in the list. Linked lists are particularly useful when dealing with sparse datasets, where most of the elements are empty or irrelevant.

Here's an example in Python:

class Node:
def init(self, value):
self.value = value
self.next = None
class LinkedList:
def init(self):
self.head = None
def insert(self, value):
new_node = Node(value)
if not self.head:
self.head = new_node
else:
current = self.head
while current.next:
current = current.next
current.next = new_node
def delete(self, value):
if self.head is None:
return
if self.head.value == value:
self.head = self.head.next
return
current = self.head
while current.next:
if current.next.value == value:
current.next = current.next.next
return
current = current.next
def print_list(self):
current = self.head
while current:
print(current.value)
current = current.next
Example usage:
ll = LinkedList()
ll.insert(1)
ll.insert(2)
ll.insert(3)
ll.print_list()  # Output: 1, 2, 3
ll.delete(2)
ll.print_list()  # Output: 1, 3

In this example, we define a Node class to represent individual elements in the linked list. Each node has a value attribute and a next attribute that points to the next node.

The LinkedList class is responsible for managing the collection of nodes. It provides methods for inserting (insert) and deleting (delete) nodes at specific positions in the list.

In the example usage, we create an instance of the linked list, insert three values (1, 2, and 3), print out the entire list using the print_list method, delete the value 2, and then print out the updated list. This demonstrates how linked lists can be used to efficiently manage a sequence of elements.

By leveraging abstract data types like linked lists, you can develop robust and scalable solutions that efficiently solve real-world problems.

Would you like me to explain more about linked lists or discuss any specific aspects?