Skip to main content

Python Try, except blocks

 try and except blocks in Python are used for handling exceptions (errors) that may occur during the execution of a program. This allows you to manage errors gracefully without stopping the entire program. Here's a detailed explanation and some examples:

Basic Structure

The basic structure of a try and except block looks like this:

try: # Code that might raise an exception risky_operation() except ExceptionType: # Code to handle the exception handle_exception()


Example: Handling a Division by Zero

Let's look at an example where we handle a ZeroDivisionError

try: result = 10 / 0 except ZeroDivisionError: print("Error: Division by zero is not allowed.")


Catching Multiple Exceptions

You can catch multiple exceptions by specifying multiple except blocks:

try:
    result = 10 / 0
except ZeroDivisionError:
    print("Error: Division by zero is not allowed.")
except TypeError:
    print("Error: Invalid type used for division.")

Catching All Exceptions

To catch any exception, you can use a generic except block without specifying an exception type. However, this is generally not recommended because it can make debugging more difficult:

try: result = 10 / 0 except: print("An error occurred.")


Using the else Block

An else block can be used to specify code that should be executed if no exceptions are raised:

try: result = 10 / 2 except ZeroDivisionError: print("Error: Division by zero is not allowed.") else: print(f"Result is {result}")


Using the finally Block

A finally block can be used to specify code that should be executed no matter what, whether an exception was raised or not:

try: result = 10 / 0 except ZeroDivisionError: print("Error: Division by zero is not allowed.") finally: print("This block will always execute.")


Raising Exceptions

You can raise exceptions using the raise statement. This can be useful for handling certain error conditions explicitly:

def check_positive(number): if number < 0: raise ValueError("Number must be positive") try: check_positive(-1) except ValueError as e: print(e)


Full Example: File Operations

Here’s a more comprehensive example that demonstrates reading from a file with error handling:

try: with open('example.txt', 'r') as file: contents = file.read() except FileNotFoundError: print("Error: File not found.") except IOError: print("Error: An I/O error occurred.") else: print(contents) finally: print("Finished file operation.")


Custom Exception Classes

You can define your own exception classes by inheriting from the Exception class:

class CustomError(Exception): pass def risky_operation(): raise CustomError("Something went wrong!") try: risky_operation() except CustomError as e: print(e)


Summary

  • try block: Contains code that might raise an exception.
  • except block: Contains code to handle the exception.
  • else block: Contains code to be executed if no exceptions are raised.
  • finally block: Contains code to be executed no matter what.

Using these blocks effectively allows you to manage errors gracefully, ensuring that your program can handle unexpected situations without crashing.


Comments

Popular posts from this blog

TechUplift: Elevating Your Expertise in Every Click

  Unlock the potential of data with SQL Fundamental: Master querying, managing, and manipulating databases effortlessly. Empower your database mastery with PL/SQL: Unleash the full potential of Oracle databases through advanced programming and optimization. Unlock the Potential of Programming for Innovation and Efficiency.  Transform raw data into actionable insights effortlessly. Empower Your Data Strategy with Power Dataware: Unleash the Potential of Data for Strategic Insights and Decision Making.

Relationships between tables

In Power BI, relationships between tables are essential for creating accurate and insightful reports. These relationships define how data from different tables interact with each other when performing analyses or creating visualizations. Here's a detailed overview of how relationships between tables work in Power BI: Types of Relationships: One-to-one (1:1):   This is the most common type of relationship in Power BI. It signifies that one record in a table can have multiple related records in another table. For example, each customer can have multiple orders. Many-to-One (N:1):   This relationship type is essentially the reverse of a one-to-many relationship. Many records in one table can correspond to one record in another table. For instance, multiple orders belong to one customer. One-to-Many (1:N):   Power BI doesn't support direct one-to-many relationships.  One record in table can correspond to many records in another table.  Many-to-Many (N:N):  ...

SQL Fundamentals

SQL, or Structured Query Language, is the go-to language for managing relational databases. It allows users to interact with databases to retrieve, manipulate, and control data efficiently. SQL provides a standardized way to define database structures, perform data operations, and ensure data integrity. From querying data to managing access and transactions, SQL is a fundamental tool for anyone working with databases. 1. Basics of SQL Introduction : SQL (Structured Query Language) is used for managing and manipulating relational databases. SQL Syntax : Basic structure of SQL statements (e.g., SELECT, INSERT, UPDATE, DELETE). Data Types : Different types of data that can be stored (e.g., INTEGER, VARCHAR, DATE). 2. SQL Commands DDL (Data Definition Language) : CREATE TABLE : Define new tables. ALTER TABLE : Modify existing tables. DROP TABLE : Delete tables. DML (Data Manipulation Language) : INSERT : Add new records. UPDATE : Modify existing records. DELETE : Remove records. DQL (Da...