Sayan Chakraborty’s Post

🌟 Day 73 of #100DaysOfCode: MVC for Reviews Completed! 🌟 Today marks another significant milestone in my StayEase project: I've successfully implemented the MVC (Model-View-Controller) architecture for Reviews! 🌟🏡 🔍 What I accomplished: Models: Structured the data schema for reviews. Views: Designed user-friendly interfaces for submitting and viewing reviews. Controllers: Developed logic to handle review creation, retrieval, and management. 🔧 Tech Stack: MongoDB for robust data storage Express.js for handling backend logic This achievement not only enhances user interaction but also ensures a smooth, organized codebase for future development. Excited to continue building and refining StayEase. #StayEase #MVC #FullStackDevelopment #MERNStack #WebDevelopment #Learning

Managing Dependencies in FastAPI: Using Dependencies to Organize and Structure Your Code

🚀 Performance Optimization in Rust – Unleashing Speed and Efficiency! 🚀 👋 Hi LinkedIn Community, Jai Shree Krishna to everyone! Today, let's dive into performance optimization in Rust! 🌐 Rust is already known for its speed and memory safety 🛡️, but there are always ways to push it even further! 🚀 🌟 Why Optimize? Rust’s memory safety 🧩 and zero-cost abstractions make it incredibly fast 🏎️. But for high-performance applications like web servers 🌐 and systems programming 🖥️, squeezing every bit of performance counts! By optimizing, we can ensure our code runs faster ⏩ and utilizes resources effectively 🔋. ⚙️ Techniques for Supercharging Rust Applications 1)Leverage Ownership and Borrowing System 🔄 Rust’s ownership model is a game-changer for avoiding memory leaks 🌊, but it also minimizes unnecessary heap allocations 🧩. Best Practices: Avoid Unnecessary Copies: Borrow instead of clone whenever possible. Use References: Reduce allocations by leveraging borrowing instead of creating new data on the heap 📦. 2)Inlining and Loop Unrolling 🔁 Rust’s compiler can automatically inline functions to eliminate overhead 🚀. You can also use the #[inline] attribute to suggest inlining where it makes sense. Loop Unrolling can help in small, fixed-size loops by reducing jump instructions and improving cache utilization 🧠. 3)Efficient Data Structures 📂 Choose Wisely: Using the right data structure (e.g., Vec 📑 over LinkedList 🗃️) can significantly improve performance due to better cache locality. Custom Allocators: In high-performance systems, consider custom allocators for more control over memory management 🧮. 4)Minimize Unwinding with Result and Option ✅ Rust’s Result and Option types eliminate the need for costly error handling or null checks 🚫. Instead of propagating errors with panic, use .unwrap_or or .unwrap_or_else to handle defaults smoothly 🚦. 5)Use cargo flamegraph for Profiling 🔥 Identify bottlenecks with tools like cargo flamegraph 🔍 or perf. Profiling lets you see which functions or operations consume the most time ⏱️ and resources 🛠️. 6)Zero-Cost Abstractions ⚖️ Rust’s iterators and closures are optimized at compile-time. Instead of traditional loops, try using iterators and map, filter, and reduce functions for concise, efficient code 📊. 7)Avoid Unnecessary Abstractions 🚫 While Rust’s abstractions are zero-cost, every level of abstraction still has a cost 💰. Simplify wherever possible to reduce CPU overhead and keep things lean and clean! 🧼 8)Leverage SIMD for Data-Intensive Tasks 🏋️♂️ For tasks that benefit from parallelism (like image processing 🖼️ or large data computations 📈), consider SIMD (Single Instruction, Multiple Data) to process multiple data points with one instruction 💥. #RustLang #RustOptimization #Performance #SystemsProgramming

Decoupling Your Domain Model from Infrastructure Concerns One of the key principles of clean architecture is keeping your domain model free from dependencies on infrastructure, such as databases or web frameworks. But how do we achieve this in practice? 🤔 The Repository pattern is a powerful way to invert the traditional dependency between our domain model and the database: 1. Define your domain model as pure Python objects, without any mention of the ORM or database. 2. Create a separate abstraction layer, the Repository, which encapsulates all database access. 3. Have the ORM and database-related code depend on the domain model, not the other way around. By applying this dependency inversion, we keep our business logic clean and allow it to evolve independently of our persistence mechanism. We can change the database schema, or even switch to a different storage solution entirely, without needing to touch our core domain model. This principle can be applied using various ORMs and databases, such as SQLAlchemy with its "classical" mapping style, or even without an ORM at all. #DomainDrivenDesign #DependencyInversion #RepositoryPattern #CleanArchitecture

New blog post alert! Today I cover some refactoring that helped consolidate common-purpose code. https://lnkd.in/gbtvWbPz #dotnet #jsonschema #refactoring

⚡ 𝐆𝐞𝐭𝐭𝐢𝐧𝐠 𝐒𝐭𝐚𝐫𝐭𝐞𝐝 𝐰𝐢𝐭𝐡 𝐒𝐐𝐋𝐀𝐥𝐜𝐡𝐞𝐦𝐲 — 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 (𝐏𝐚𝐫𝐭 1) ⚡ Ready to take your database skills to the next level? My latest article delves into SQLAlchemy, offering a detailed look at its architecture, usage scenarios, and pros & cons. https://lnkd.in/e5YrcQcX

This Article is a nice reality check for modern developers whose first step towards solution is to introduce unnecessary complexity in the code architecture. https://lnkd.in/deX3N_dG Of course, not only did I found about article from primagen video, but tid-bits from his take on article provided a lot of amazing supplementary reading material for my sunday. https://lnkd.in/d7KXs2BE

Recommend checking out this post on the new Polars plotting backend from Marco Gorelli. It's not just about plotting, it shows a neat way to support multiple dataframe libraries with less effort using narwhals as an intermediary https://lnkd.in/eRK5G8s9

🌟 Medium Article Series | Part 2 🌟 Just published my second part of my 4-part series on Medium, delving deeper into the world of Django API development for multiple user types while maintaining a clean architecture approach. Here's what you can expect in this part: 🛠️ Create mixin to retrieve, validate and expose role to any viewset 🧩 Unveiling the magic behind multi-role serialization Link to article: https://lnkd.in/ehpyXpdC

The video contains following parts: 0:00 - Coming up 0:23 - Intro 1:20 - SQLite Basics and Intro 3:52 - MySQL, PostgreSQL Vs SQLite 4:50 - GitHub and Documentation 5:50 - Architecture Overview 19:33 - Educosys 21:15 - Code structure 24:09 - Tokeniser 27:00 - Parser 31:18 - ByteCode Generator 37:10 - VDBE 45:43 - Pager, BTree and OS Layer 48:48 - Write Ahead Logging, Journaling 1:00:29 - Cache Management 1:04:25 - Pager in Detail 1:12:45 - Pager Code walkthrough 1:17:36 - Coming up 1:18:12 - Limitations of SQLite and Thank you https://lnkd.in/exsniDPP