Atharv Gyan

A guide on building and deploying microservices using Python, including best practices, tools, and frameworks like Flask and FastAPI. Implementing Microservices with Python Microservices architecture has become a popular approach for building scalable and maintainable applications. It involves breaking down a large application into smaller, independent services that can be developed, deployed, and scaled independently. Python, with its rich ecosystem of libraries and frameworks, is an excellent choice for implementing microservices. This guide will explore how to build and deploy microservices using Python, with a focus on Flask and FastAPI. Why Microservices? Microservices offer several advantages over monolithic architectures: Scalability: Each service can be scaled independently based on its load. Maintainability: Smaller codebases are easier to understand, test, and maintain. Deployment: Services can be deployed independently, allowing for more frequent and safer deployments. Tec

State management is a crucial aspect of building robust and scalable React applications. As applications grow in complexity, managing state effectively becomes increasingly challenging. In this article, we will delve into advanced state management techniques in ReactJS, exploring various libraries, patterns, and modern approaches to handle state in a more efficient and maintainable manner. 1. Redux: Redux is one of the most popular state management libraries in the React ecosystem. It follows a centralized store pattern, where all application state is stored in a single immutable state tree. Actions are dispatched to modify the state, and reducers are used to specify how the state should change in response to these actions. Advanced concepts in Redux include middleware, which allows you to intercept and process actions, and selectors, which enable efficient access to specific slices of state. 2. MobX: MobX is another powerful state management library that offers a more flexible and rea