Puneet Verma

Puneet Verma is a software developer specialising in backend architecture, Dynamic Programming, and SaaS solutions. He focuses on building optimised, scalable applications and sharing deep-dive technical tutorials to help developers master complex algorithmic patterns.

Serialization and Deserialization: Understanding the Essentials

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Serialization and Deserialization facilitate us to convert complex data structures into transferable and storable formats. Understanding how these processes work, their use cases and their importance in modern software development is essential for any software engineer or data practitioner. What is Serialization? Serialization is the process of converting an in-memory object or data structure into … Read full article: Serialization and Deserialization: Understanding the Essentials

Understanding JSON: A Comprehensive Guide

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JSON (JavaScript Object Notation) has become integral to data exchange in today’s digital world. As the backbone of many systems, data storage, exchange, and interpretation play a crucial role in modern computing. JSON is a lightweight data format that is easy to read, write, and parse, making it widely used in web development, APIs, and … Read full article: Understanding JSON: A Comprehensive Guide

Generators in Python

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Generators

Generators in Python are a special type of iterable, allowing you to iterate over a sequence of values without storing the entire sequence in memory at once. They are particularly useful when working with large datasets or sequences that would be inefficient to store entirely in memory. Instead, generators produce values one at a time, … Read full article: Generators in Python

Trie Data Structures: An Overview

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Trie

A Trie Data Structure (also known as a prefix tree or digital tree) is a specialized data structure used primarily for storing strings. It excels in scenarios where we need to efficiently manage a dynamic set of strings, often involving operations like prefix-based search, autocomplete, and lexicographical sorting. This article explores the design, functionality, and … Read full article: Trie Data Structures: An Overview

Understanding HTTP Status Codes: A Complete Guide

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http status codes

HTTP status codes are crucial indicators used by servers to communicate the result of a client’s request. These codes are divided into five categories based on the nature of the response: informational, success, redirection, client errors, and server errors. Let’s explore each category to understand its purpose and the common status codes it includes. General … Read full article: Understanding HTTP Status Codes: A Complete Guide

Understanding HTTP Methods

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Http Methods

The Hypertext Transfer Protocol (HTTP) is the foundation of data communication on the web. When interacting with web servers, clients (like browsers or apps) use different HTTP methods to request or modify resources. These methods, also called HTTP verbs, indicate the action that the client wants to perform on the server. Let’s explore the most … Read full article: Understanding HTTP Methods

Frequency Counting Using Count-Min Sketch

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Count min sketch

A Count-Min Sketch (CMS) is a probabilistic data structure that is used for efficiently approximating the frequency of elements in a data stream. It is particularly useful when the dataset is too large to fit into memory, making it a great choice for large-scale applications like search engines, network traffic monitoring, and recommendation systems. What … Read full article: Frequency Counting Using Count-Min Sketch

Every thing about hashing

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Hash function

Hashing is a critical technique in computer science used to efficiently retrieve or store data. At its core, hashing converts an input (or ‘key’) into a fixed-size string of bytes, typically for indexing data in hash tables. This method is widely used in scenarios where fast data retrieval is important, such as databases, file systems, … Read full article: Every thing about hashing

Exploring Data Structures with Real-Life Applications

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Data structures are a core component of computer science, and understanding the right data structures for the task is crucial. This article will explore data structures and their practical real-life applications. Data structures are ways to organize and store data efficiently. Each data structure is built on top of more fundamental structures, and understanding the … Read full article: Exploring Data Structures with Real-Life Applications