This posts is a complete guide to Python OOP (Object-Oriented Programming) — both basic and advanced topics, interview-relevant insights, code examples, and a data engineering mini-project using Python OOP + PySpark. 🐍 Python OOP: Classes and Objects (Complete Guide) ✅ What is OOP? Object-Oriented Programming is a paradigm that organizes code into objects, which are…

Python Lists: A Comprehensive Guide What is a List? Lists are a fundamental data structure in Python used to store collections of items. They are: Example: Accessing Elements in a List Positive Indexing Negative Indexing (Access elements from the end) Slicing List Operations Modifying Elements Adding Elements Removing Elements Sorting and Reversing List Comprehensions Basic…

Error and Exception Handling: Python uses exceptions to handle errors that occur during program execution. There are two main ways to handle exceptions: 1. try-except Block: 2. Raising Exceptions: Logging Errors to a Table: Here’s how you can integrate exception handling with logging to a database table: 1. Choose a Logging Library: Popular options include:…

Functions in Python- Definition Functions in Python are blocks of code that perform a specific task, and they can be defined using the def keyword. Function template Definition: Function Call: Function Name: Parameters Function Body Docstring Return Statement Pass Statement Lambda Functions Default Argument Values Variable-Length Arguments Keyword-Only Arguments Python 3.x Example: Combination of *args,…