Python
“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- Syntax, execution, examples
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38 min read
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…
In Python, a list is a mutable, ordered collection of items. Let’s break down how it is created, stored in memory, and how inbuilt methods work — including internal implementation details. 🔹 1. Creating a List 🔹 2. How Python List is Stored in Memory Python lists are implemented as dynamic arrays (not linked lists…