“Try Except” and “Continue” Statements in Python

Try Except and Continue

Table Of contents


In this article, we will explore how to utilize Try Except and Continue statements effectively to handle exceptions gracefully and control the flow of your Python code. So, let’s dive into the world of human-style programming!

The Power of “Try-Except” in Python

The “try-except” statement in Python enables you to catch and handle exceptions that might occur during the execution of your code. Rather than abruptly halting your program when an error is encountered, “try-except” allows you to gracefully handle the issue and continue with the remaining code.

Consider the following example:

    # Your code block that may raise an exception

    result = 10 / 0
except ZeroDivisionError:
    # Code block to handle the ZeroDivisionError exception

    print("Oops! Cannot divide by zero.")

Here, the “try” block attempts to perform a division operation that would result in a ZeroDivisionError. However, the “except” block catches the exception, preventing the program from crashing, and instead displays a friendly error message.

Benefits of using “try-except” in your code

  • Enhanced Error Handling: “try-except” enables you to anticipate potential errors and take appropriate actions.
  • Preventing Crashes: By catching exceptions, your program can continue running even when encountering errors.
  • User-Friendly Experience: Error messages can be customized to provide meaningful feedback to users.

Streamlining Code Flow with the “Continue” Statement

The “continue” statement is a powerful tool in Python that allows you to skip certain iterations in loops. This statement is particularly useful when you want to filter out specific elements or conditions while iterating through a sequence.

Let’s see how the “continue” statement works in a loop:

techlitisitic_numbers = [1, 2, 3, 4, 5]
for techlitisitic_num in techlitisitic_numbers:
    if techlitisitic_num == 3:


In this example, when the loop encounters the value 3, the “continue” statement skips that iteration, and the code proceeds with the next value.

Advantages of using the “continue” statement

  • Simplified Control Flow: By selectively skipping iterations, your code becomes more concise and readable.
  • Efficient Filtering: “continue” helps optimize the processing of data, skipping unnecessary computations.

Integrating “Try-Except” and “Continue” for Human-Style Programming

Now, let’s combine the power of “try-except” and “continue” statements to create more human-style Python code.

Consider a scenario where you have a list of numbers and want to divide each number by 2, except for cases where the number is zero. In such cases, you want to continue processing the rest of the list while gracefully handling the ZeroDivisionError.

techlitistic_numbers = [1, 0, 2, 4, 0, 3]

for techlitistic_num in techlitistic_numbers:
        techlitistic_result = 2 / techlitistic_num
    except ZeroDivisionError:
        print(f"Error: Cannot divide by zero - Skipping {techlitistic_num}")
    print(f"Result: {techlitistic_result}")


Result: 2.0
Error: Cannot divide by zero - Skipping 0
Result: 1.0
Result: 0.5
Error: Cannot divide by zero - Skipping 0
Result: 0.6666666666666666

In this example, the “try-except” block gracefully handles the ZeroDivisionError when encountering zero values in the list. The “continue” statement allows the code to proceed with the next iteration without causing a crash.

Benefits of combining “try-except” and “continue”

  • Error Resilience: The code handles exceptions gracefully and continues execution, promoting reliability.
  • Improved Code Maintainability: Human-style code is more intuitive and easier to maintain, even when dealing with complex scenarios.

Try Except Python Continue Pass

The Power of “Try-Except” Blocks

Python’s try-except statement allows programmers to handle exceptions gracefully. It enables the program to continue running despite encountering errors, preventing abrupt crashes.

Handling Exceptions Gracefully

The try-except block identifies potential exceptions and provides an alternative path for the code to follow if an exception occurs.

A Real-World Example

Consider a scenario where a user inputs a numeric value, and the program expects an integer. With a try-except block, we can handle cases where the user enters invalid input and provide appropriate feedback.

    techlitisitic_user_input = int(input("Enter an integer: "))
except ValueError:
    print("Invalid input. Please enter an integer.")

The Elegance of the “Continue” Statement:

The continue statement is used within loops to skip the current iteration and proceed to the next one, streamlining the execution of the loop.

Streamlining Loop Execution

By using continue, unnecessary code within the loop can be avoided, enhancing the efficiency of the program.

Implementing “Continue” with an Example

Let’s say we want to print only the even numbers from a list:

techlitisitic_numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
for techlitisitic_num in techlitisitic_numbers:
    if techlitisitic_num % 2 != 0:

Embracing “Pass” for Enhanced Readability

The pass statement in Python serves as a placeholder, allowing developers to write empty code blocks that won’t raise errors.

Placeholder Statements

Sometimes, while designing or planning a program, you may not have the complete implementation for a specific section. In such cases, you can use pass as a temporary placeholder.

Use Cases of “Pass”

Consider a function that you plan to define later:

def some_function():
# To be implemented later


A Concise Comparison of “Continue” and “Pass”

While continue and pass might seem similar, they serve distinct purposes. Continue helps skip a specific iteration in a loop, while pass allows you to create empty code blocks without causing errors.

Break Continue Python

‘try,’ ‘except,’ ‘break,’ and ‘continue.’ We will explore how these elements not only make the code more readable but also enhance its efficiency.

The Art of ‘break’ and ‘continue’

  • Understanding the role of ‘break’ and ‘continue’ statements in loops.
  • Breaking out of loops with ‘break’: Efficiently terminating loops when specific conditions are met.
  • Skipping iterations with ‘continue’: Streamlining loops to skip unnecessary iterations.

A Comparison of Human-Style and Conventional Python Code

|          Conventional Approach          |           Human-Style Coding           |
| Nested if-else blocks                   |  Using 'try' and 'except' for exception |
|                                         |  handling                              |
| Complex loop structures                 |  Employing 'break' and 'continue' for   |
|                                         |  optimized loop control                |
| Lack of proper naming conventions       |  Meaningful names for variables and    |
|                                         |  functions                             |
| Insufficient comments and documentation |  Concise comments for better            |
|                                         |  understanding                         |

Python Try Except Continue Finally

Understanding the While Loop

The “while” loop is a versatile and powerful control structure in Python, enabling developers to create iterative solutions for a diverse set of tasks. It allows code to be executed repeatedly as long as a specified condition remains true. The basic syntax of a “while” loop in Python is as shown below.

while condition:
    # Code block to be executed while the condition is true

Using the “try-except” Block

When writing Python code, it’s essential to handle potential errors or exceptions gracefully. Python provides a powerful mechanism called the “try-except” block that allows developers to catch and handle exceptions, preventing the program from crashing. The structure of a “try-except” block is as follows.

    # Code block where an exception may occur

except ExceptionType:
    # Code block to handle the exception

The “try” block contains the code that might raise an exception, while the “except” block catches the exception and executes code to handle it.

Combining While Loop with Try-Except

To make our code robust, we can integrate the “try-except” block inside a “while” loop. This ensures that the loop continues to execute even if an exception is encountered during the loop’s iterations. By doing so, the program can gracefully handle exceptions and provide meaningful feedback to users.

Python Code Example

Let’s illustrate the usage of the “while” loop with “try-except” through a practical code example. Consider a scenario where we want to take input from the user and calculate the reciprocal of the entered number until the user decides to stop the process by entering “0.” We’ll also handle potential exceptions that may arise during user input.

def techlitistic_calculate_reciprocal():
    while True:
            techlitistic_num = float(input("Enter a number (enter 0 to stop): "))
            if techlitistic_num == 0:
            techlitistic_reciprocal = 1 / techlitistic_num
            print(f"The reciprocal of {techlitistic_num} is {techlitistic_reciprocal}")
        except ValueError:
            print("Invalid input! Please enter a valid number.")
        except ZeroDivisionError:
            print("Cannot calculate reciprocal for zero. Please enter a non-zero number.")


Some key benefits of using “continue” in a loop

  • Streamlining logic: By using “continue,” we can avoid nested conditional statements and simplify the code structure, making it more readable and maintainable.
  • Skipping specific conditions: We can use “continue” to skip iterations where specific conditions are met, thereby enhancing the loop’s efficiency.

Python Code Example – Utilizing Continue

def techlitistic_calculate_factorial(techlitistic_n):
    techlitistic_factorial = 1
    while techlitistic_n > 1:
        if techlitistic_n <= 1:
        techlitistic_factorial *= techlitistic_n
        techlitistic_n -= 1
    return techlitistic_factorial

techlitistic_number = int(input("Enter a number to calculate its factorial: "))
techlitistic_result = techlitistic_calculate_factorial(techlitistic_number)
print(f"The factorial of {techlitistic_number} is {techlitistic_result}")

Python Try Except Continue Not Properly In Loop

The ‘try-except-continue’ loop is a robust construct in Python that allows you to identify and handle exceptions gracefully while continuing the loop’s execution without interruption. It plays a pivotal role in scenarios where you need to perform specific operations within a loop, even if an error occurs during execution.

# Example of try-except-continue loop

for techlitistic_item in my_list:
        # Code that may raise an exception
         techlitistic_result = perform_operation(techlitistic_item)
    except Exception as e:
        # Handle the exception gracefully
        print(f"Error: {e}")
    # Code to execute when there is no exception

The above code snippet showcases the ‘try-except-continue’ loop in action. The ‘perform_operation’ function attempts to process each ‘item’ from ‘my_list’, and if an exception occurs, it is caught and handled inside the ‘except’ block. The loop then continues with the next iteration without halting the program’s execution.

Common Exceptions and Their Descriptions

ValueErrorRaised when a function receives an argument of correct type but inappropriate value.
KeyErrorRaised when a dictionary key is not found.
IndexErrorRaised when a sequence subscript is out of range.
FileNotFoundErrorRaised when a file or directory is requested but cannot be found.
ZeroDivisionErrorRaised when division or modulo operation is performed with zero as the divisor.
ImportErrorRaised when an imported module or function is not found.
AttributeErrorRaised when an attribute reference or assignment fails.

Python Selenium Try Except Continue

The Role of try-except in Web Automation

  1. Handling Exceptions:
    • try-except blocks help handle errors gracefully during automation.
    • It prevents abrupt termination of the script and allows you to take appropriate actions.
  2. Common Exceptions in Selenium:
    • NoSuchElementException: Occurs when an element is not found on the webpage.
    • TimeoutException: Arises when a web element takes too long to load or appear.

Utilizing the continue Statement

  1. Improving Script Resilience:
    • The continue statement allows you to skip a particular iteration and proceed with the next one, even if an exception occurs.
    • This ensures your script continues executing despite minor issues.
  2. Practical Implementation
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException

techlitistic_driver = webdriver.Chrome()

techlitistic_elements_to_click = [techlitistic_element1, techlitistic_element2, techlitistic_element3]

for techlitistic_element in techlitistic_elements_to_click:
        # Perform other actions related to the element

    except NoSuchElementException:

        continue  # Skip to the next element if it's not found

Python Code Example Web Form Filling

Let’s illustrate a practical example of filling out a web form using Selenium with try-except and continue statements
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException

techlitistic_driver = webdriver.Chrome()

techlitistic_form_fields = {
    "name": "John Doe",
    "email": "johndoe@example.com",
    "message": "This is a test message."

for techlitistic_field, techlitistic_value in techlitistic_form_fields.items():
        techlitistic_input_field = techlitistic_driver.find_element_by_name(techlitistic_field)
    except NoSuchElementException:

techlitistic_submit_button = techlitistic_driver.find_element_by_xpath("//button[@type='submit']")



The “try-except” block is a powerful feature in Python that allows you to handle exceptions gracefully. When combined with the “continue” statement, it enables you to manage exceptions effectively and continue code execution, providing a smoother user experience and more robust applications.

Remember to use “continue” judiciously, as excessive use can lead to code complexity and diminished code readability. Regularly logging exceptions and analyzing them will help you understand the issues better and improve your code over time.

Incorporating “continue” in “try-except” blocks can significantly enhance the efficiency and reliability of your Python applications, making you a more proficient Python programmer. Happy coding!

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