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    Python

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    • Refreshing Python Basics
      • 1.1Python Data Structures
      • 1.2Syntax and Semantics
      • 1.3Conditionals and Loops
    • Introduction to Object-Oriented Programming
      • 2.1Understanding Class and Objects
      • 2.2Design Patterns
      • 2.3Inheritance, Encapsulation, and Polymorphism
    • Python Libraries
      • 3.1Numpy and Matplotlib
      • 3.2Pandas and Seaborn
      • 3.3SciPy
    • Handling Files and Exception
      • 4.1Reading, writing and manipulating files
      • 4.2Introduction to Exceptions
      • 4.3Handling and raising Exceptions
    • Regular Expressions
      • 5.1Introduction to Regular Expressions
      • 5.2Python’s re module
      • 5.3Pattern Matching, Substitution, and Parsing
    • Databases and SQL
      • 6.1Introduction to Databases
      • 6.2Python and SQLite
      • 6.3Presentation of Data
    • Web Scraping with Python
      • 7.1Basics of HTML
      • 7.2Introduction to Beautiful Soup
      • 7.3Web Scraping Case Study
    • Python for Data Analysis
      • 8.1Data cleaning, Transformation, and Analysis using Pandas
      • 8.2Data visualization using Matplotlib and Seaborn
      • 8.3Real-world Data Analysis scenarios
    • Python for Machine Learning
      • 9.1Introduction to Machine Learning with Python
      • 9.2Scikit-learn basics
      • 9.3Supervised and Unsupervised Learning
    • Python for Deep Learning
      • 10.1Introduction to Neural Networks and TensorFlow
      • 10.2Deep Learning with Python
      • 10.3Real-world Deep Learning Applications
    • Advanced Python Concepts
      • 11.1Generators and Iterators
      • 11.2Decorators and Closures
      • 11.3Multithreading and Multiprocessing
    • Advanced Python Concepts
      • 12.1Generators and Iterators
      • 12.2Decorators and Closures
      • 12.3Multithreading and Multiprocessing
    • Python Project
      • 13.1Project Kick-off
      • 13.2Mentor Session
      • 13.3Project Presentation

    Handling Files and Exception

    Handling and Raising Exceptions in Python

    general-purpose programming language

    General-purpose programming language.

    In Python, exceptions are events that occur during the execution of a program that disrupt the normal flow of the program's instructions. Exception handling is a mechanism that allows us to handle these exceptions and provide a way for the program to continue its execution or terminate gracefully.

    The try/except Block: Catching Exceptions

    In Python, we use the try and except block to catch and handle exceptions. The try block contains the code segment that might throw an exception, while the except block contains the code that will execute if an exception occurs.

    try: # code that might raise an exception except ExceptionType: # code to execute if an exception of ExceptionType occurs

    The else Clause in Exception Handling

    The else clause in Python's exception handling mechanism is a lesser-known and often misunderstood feature. It is executed when the code in the try block doesn't raise an exception. The else block is a good place for code that doesn't need the try block's protection but relies on the try block executing without errors.

    try: # code that might raise an exception except ExceptionType: # code to execute if an exception of ExceptionType occurs else: # code to execute if no exception was raised

    The finally Clause: Cleanup Actions

    The finally clause is optional and is intended to define clean-up actions that must be executed under all circumstances. A finally clause is always executed before leaving the try statement, whether an exception has occurred or not.

    try: # code that might raise an exception except ExceptionType: # code to execute if an exception of ExceptionType occurs finally: # code to execute under all circumstances

    Raising Exceptions: The raise Statement

    In Python, we can use the raise statement to throw an exception if a certain condition occurs. The statement can be complemented with a custom exception type.

    if condition: raise Exception("Custom exception message")

    Creating and Using Custom Exceptions

    Python allows us to define our own exception types. To define a new exception type, we can define a class that inherits from the built-in Exception class or one of its subclasses.

    class CustomException(Exception): pass

    Exception Handling Best Practices

    • Don't use exception handling as a replacement for a test condition.
    • Avoid catching too general exception. Catch specific exceptions that you can handle.
    • Use the finally clause for code that must run regardless of whether an exception was raised or not.
    • Always clean up resources (like file or network connections) in the finally block or use a context manager.
    • Don't suppress exceptions unless you have a good reason to do so. If you catch an exception, handle it or log it.

    By understanding and correctly using exception handling in Python, we can make our programs more robust and reliable, capable of handling unexpected errors gracefully and continuing their execution.

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