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Category: Python
The input() function in Python is primarily used to take input from the user through the command line. While its most common use is to receive text input, it can be used creatively for various purposes. The input() function in Python The input() function in Python is used to get user input during the execution of a program. It…
“I wrote a Python code or I created a Python script, and it was executed successfully” So what does it Mean? This will be the most basic question a Early Python Learner can ask ! So Consider the scenario- where i executed a script in python which saves a number of csv files in Local disk and also writes hundred of rows…
🐍 Python Syntax Essentials: Clean Guide with Examples and Insights ✅ Statements and Indentation Python uses indentation to define blocks of code. Unlike many other languages that use curly braces {} or keywords, Python enforces indentation. You can also place multiple statements on one line using ;, though it’s discouraged: ✅ Comments in Python Shortcut…
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,…
Here’s a full explanation of Functional Programming concepts in Python — Lambda functions and Decorators — with examples, data engineering use cases, and pro tips to make your pipelines smarter, cleaner, and reusable. 🔹 1. Lambda Functions in Data Engineering ✅ What it is: A lambda is an anonymous, one-line function — useful for quick…
Recursion is a programming technique where a function calls itself directly or indirectly. It is extremely useful in solving divide-and-conquer problems, tree/graph traversals, combinatorics, and dynamic programming. Let’s explore it in detail. 🔎 Key Concepts of Recursion ✅ 1. Base Case The condition under which the recursion ends. Without it, recursion continues infinitely, leading to…
Here’s a comprehensive Python string function cheat sheet in tabular format: Function Syntax Description Example Return Type capitalize str.capitalize() Capitalizes the first character of the string. “hello”.capitalize() → “Hello” str casefold str.casefold() Converts to lowercase, more aggressive than lower(). “HELLO”.casefold() → “hello” str center str.center(width, fillchar=’ ‘) Centers the string, padded with fillchar. “hello”.center(10, ‘-‘) → “–hello—” str count str.count(sub, start=0, end=len(str)) Counts occurrences of sub in…
Here’s a complete OOP interview questions set for Python — from basic to advanced — with ✅ real-world relevance, 🧠 conceptual focus, and 🧪 coding triggers. You can practice or review these inline (Notion/blog-style ready). 🧠 Python OOP Interview Questions (With Hints) 🔹 Basic Level (Conceptual Clarity) 1. What is the difference between a class…
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…
Great topic! Parallel processing is essential for optimizing performance in Python—especially in data engineering and PySpark pipelines where you’re often handling: Let’s break it down with ✅ why, 🚀 techniques, 🧰 use cases, and 🔧 code examples. ✅ Why Parallel Processing in Python? Problem Area Parallelism Benefit Processing large files Split across threads/processes Batch API…