Decode-AiML

1.11 Exception Handling in Python

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Lecture 1.11.1) Exception Handling in Python - try-except-finally-else - Errors vs Exceptions - Hindi

Video Link: Watch on YouTube

Notes Link : Exception Handling in Python

Video Description: In this video from the Decode AiML Python Series, we explore exception handling in Python, one of the most essential concepts for writing robust code. Learn how to use try, except, finally, and else blocks effectively, and understand the difference between errors and exceptions with practical examples.

📘 Topics Covered:

1. What are exceptions in python ?
2. Difference Between Exceptions and Errors
3. Types of Exceptions in Python.
4. Introduction to Exception handling in Python
5. Try, Except, Finally and Else block in Exception Handling
6. Inbuilt Exceptions vs User-defined Exceptions

#ExceptionHandlingPython #TryExceptPython #PythonErrorsVsExceptions #PythonInHindi #LearnPython #PythonTutorial #UserDefinedExceptions #decodeAiML

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Lecture 1.11.2) Custom Exceptions in Python - Real-World Exception Handling Examples - Hindi

Video Link: Watch on YouTube

Notes Link : Exception Handling in Python

Video Description: In this video from the Decode AiML Python Series, we dive deep into Custom Exceptions in Python and how they help in building clean, maintainable, and production-grade code. Learn how to create your own exception classes, raise and handle them effectively, and explore real-world examples from the AI/ML domain.

📘 Topics Covered:

1. What Are Custom Exceptions in Python?
2. Custom Exceptions vs Inbuilt Exceptions
3. How to Write a Custom Exception Class
4. How to Raise and Handle Custom Exceptions
5. Real-World Exception Handling Examples in the AI/ML Domain

#CustomExceptionsPython #ExceptionHandling #PythonInHindi #DecodeAiML #LearnPython #PythonExceptions #AILifeCycle #MLPipeline #PythonForAI #pythontutorial

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Decode AiML Youtube Channel : @decodeAiML

• We are committed to uploading one topic every day exclusively on our YouTube channel.
• All associated course content (Jupyter Notebooks, handwritten notes, etc.) will be available here on GitHub.
• Lecture Language: Hindi + English (Code-mixed for better understanding)

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