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Category: Python

  • Functions in Python- Syntax, execution, examples

    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,…

  • Functional Programming concepts in Python — Lambda functions and Decorators — with examples, data engineering use cases

    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 in Python – Deep Dive into Recursive Functions

    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…

  • Python ALL Eyes on Strings- String Data Type & For Loop Combined

    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…

  • Complete OOP interview questions set for Python — from basic to advanced

    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…

  • Classes and Objects in Python- Object Oriented Programming & A Data Engineering Project

    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…

  • Parallel processing in Python—especially in data engineering and PySpark pipelines

    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…

  • Python Lists- how it is created, stored in memory, and how inbuilt methods work — including internal implementation details

    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…

  • How the Python interpreter reads and processes a Python script and Memory Management in Python

    I believe you read our Post https://www.hintstoday.com/i-did-python-coding-or-i-wrote-a-python-script-and-got-it-exected-so-what-it-means/. Before starting here kindly go through the Link. How the Python interpreter reads and processes a Python script The Python interpreter processes a script through several stages, each of which involves different components of the interpreter working together to execute the code. Here’s a detailed look at how…

  • Lists and Tuples in Python – List and Tuple Comprehension, Usecases

    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…