Python 1 PM Batch Error HandlingTraining : Session 13 скачать в хорошем качестве

Python 1 PM Batch Error HandlingTraining : Session 13

Error Handling in Python | Python for Data Science | Exception Handling Explained In this video, we explain Error Handling in Python, an essential concept for writing reliable and professional code in Data Science and AI projects. While working with real-world datasets, errors are common. Understanding how to handle exceptions properly helps prevent program crashes and ensures smooth execution. 🔹 What you’ll learn in this video: ✔ What are Errors & Exceptions in Python? ✔ Types of Errors (Syntax, Runtime, Logical) ✔ try & except blocks ✔ Handling multiple exceptions ✔ else & finally blocks ✔ Raising custom exceptions ✔ Practical examples in Python Error handling is widely used in: 📊 Data cleaning & preprocessing 📈 File handling operations 🤖 Machine Learning pipelines 💻 Automation scripts This session is perfect for: 🎓 Beginners learning Python 📊 Data Science students 💼 Working Professionals 🚀 Aspiring Data Scientists & AI Engineers If you want to write robust and production-ready Python code for Data Science, this session is a must-watch. 📌 Like, Share & Subscribe for more Python, Data Science & AI tutorials. #Python #ErrorHandling #ExceptionHandling #DataScience #LearnPython #AICourse