---
title: "Arshnoor Singh Sohi (@arshnoorsinghsohi) | Hashnode"
description: "Building intelligent systems, one line of code at a time 🚀. Read the latest articles by Arshnoor Singh Sohi on Hashnode."
url: "https://hashnode.com/@arshnoorsinghsohi"
---

@arshnoorsinghsohi

# Arshnoor Singh Sohi

@arshnoorsinghsohi · Windsor, Ontario · Joined May 2024

Building intelligent systems, one line of code at a time 🚀

[Website](https://www.arshnoorsinghsohi.com/)

### [How UV Achieved Lightning Speed: A Beginner's Journey from Slow to Blazing Fast Python Package Management](https://arshnoor.hashnode.dev/how-uv-achieved-lightning-speed-a-beginners-journey-from-slow-to-blazing-fast-python-package-management?utm_source=hashnode&utm_medium=feed)

Learn how UV package manager achieved 10-100x faster Python package installation than pip through Rust implementation, parallel downloads, and smart caching

48 min read · [arshnoor.hashnode.dev](https://arshnoor.hashnode.dev/how-uv-achieved-lightning-speed-a-beginners-journey-from-slow-to-blazing-fast-python-package-management?utm_source=hashnode&utm_medium=feed)

[Aug 27, 2025](https://hashnode.com/posts/how-uv-achieved-lightning-speed-a-beginners-journey-from-slow-to-blazing-fast-python-package-management/68ae4cf529c72dd210869059)

### [The Complete SAM 2 Guide for Food Image Segmentation](https://arshnoor.hashnode.dev/the-complete-sam-2-guide-for-food-image-segmentation?utm_source=hashnode&utm_medium=feed)

SAM 2 (Segment Anything Model 2) is revolutionizing food image segmentation for nutrition companies, offering 44 FPS real-time processing with zero-shot capabilities that can segment any food item without prior training on that specific ingredient. T...

22 min read · [arshnoor.hashnode.dev](https://arshnoor.hashnode.dev/the-complete-sam-2-guide-for-food-image-segmentation?utm_source=hashnode&utm_medium=feed)

[Aug 26, 2025](https://hashnode.com/posts/the-complete-sam-2-guide-for-food-image-segmentation/68ae4891bd614fc149d7a0fc)

### [🚀 Complete Streamlit Learning Guide](https://arshnoor.hashnode.dev/complete-streamlit-learning-guide?utm_source=hashnode&utm_medium=feed)

Welcome to your comprehensive guide to Streamlit! This repository contains everything you need to master building interactive web applications with Python. 📋 Table of Contents What is Streamlit? Installation & Setup Core Concepts Chapter 1: Basi...

12 min read · [arshnoor.hashnode.dev](https://arshnoor.hashnode.dev/complete-streamlit-learning-guide?utm_source=hashnode&utm_medium=feed)

[Jul 6, 2025](https://hashnode.com/posts/complete-streamlit-learning-guide/686b0c4175748d8e1c89dd7a)

### [🐼 Complete Pandas Learning Guide](https://arshnoor.hashnode.dev/complete-pandas-learning-guide?utm_source=hashnode&utm_medium=feed)

Welcome to the most comprehensive guide to pandas! This repository will take you from absolute beginner to pandas expert with hands-on examples, real-world datasets, and advanced techniques. 📋 Table of Contents What is Pandas? Installation & Setup...

27 min read · [arshnoor.hashnode.dev](https://arshnoor.hashnode.dev/complete-pandas-learning-guide?utm_source=hashnode&utm_medium=feed)

[Jul 6, 2025](https://hashnode.com/posts/complete-pandas-learning-guide/686b0b34e5a79588b3a5dee3)

### [Retrieval-Augmented Generation (RAG): Enhancing AI Responses with External Knowledge](https://arshnoor.hashnode.dev/retrieval-augmented-generation-rag-enhancing-ai-responses-with-external-knowledge?utm_source=hashnode&utm_medium=feed)

1\. Abstract Retrieval-Augmented Generation (RAG) represents a transformative approach in artificial intelligence that combines the power of large language models with the precision of information retrieval systems. This presentation explores how RAG ...

27 min read · [arshnoor.hashnode.dev](https://arshnoor.hashnode.dev/retrieval-augmented-generation-rag-enhancing-ai-responses-with-external-knowledge?utm_source=hashnode&utm_medium=feed)

[Jun 11, 2025](https://hashnode.com/posts/retrieval-augmented-generation-rag-enhancing-ai-responses-with-external-knowledge/6849066154778fc48a0c3628)
