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Introduction to React JS with Hooks

What is React JS?

Introduction to Hooks

Understanding React Hooks

useState Hook

useEffect Hook

useContext Hook

Advanced React Hooks

useReducer Hook

useMemo Hook

useCallback Hook

Conclusion

Future of React and Hooks

Summary of React JS with Hooks

Building Applications with Hooks

Managing State with useState and useReducer

Creating a Simple Application with Hooks

Optimizing Performance with useMemo and useCallback

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Title: React Js With Hooks

1. Introduction to React JS with Hooks
   - What is React JS?
   - Introduction to Hooks

2. Understanding React Hooks
   - useState Hook
   - useEffect Hook
   - useContext Hook

3. Advanced React Hooks
   - useReducer Hook
   - useMemo Hook
   - useCallback Hook

4. Building Applications with Hooks
   - Creating a Simple Application with Hooks
   - Managing State with useState and useReducer
   - Optimizing Performance with useMemo and useCallback

5. Conclusion
   - Summary of React JS with Hooks
   - Future of React and Hooks

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React Js With Hooks

This means that we must manage the complexity of the systems that we create in ways that maintain our ability to learn new things and adapt to them. So, we must become experts at learning and experts at managing complexity. There are five techniques that form the roots of this focus on learning. Specifically, to become experts at learning, we need the following:IterationFeedbackIncrementalismExperimentationEmpiricismThis is an evolutionary approach to the creation of complex systems. Complex systems don’t spring fully formed from our imaginations. They are the product of many small steps, where we try out our ideas and react to success and failure along the way. These are the tools that allow us to accomplish that exploration and discovery.Working this way imposes constraints on how we can safely proceed. We need to be able to work in ways that facilitate the journey of exploration that is at the heart of every software project. So as well as having a laser-focus on learning, we need to work in ways that allow us to make progress when the answers, and sometimes even the direction, is uncertain.To become experts at managing complexity, we need the following:ModularityCohesionSeparation of ConcernsAbstractionLoose CouplingIt is easy to look at these ideas and dismiss them as familiar. Yes, you are almost certainly familiar with all of them. The aim is to organize them and place them into a coherent approach to developing software systems that helps you take best advantage of their potential.This content describes how to use these ten ideas as tools to steer software development. It then goes on to describe a series of ideas that act as practical tools to drive an effective strategy for any software development. These ideas include the following:TestabilityDeployabilitySpeedControlling the variablesContinuous deliveryWhen we apply this thinking, the results are profound. We create software of higher quality, we produce work more quickly, and the people working on the teams that adopt these principles experience significant improvements.Coupling is one of the most important ideas to think about when we start to think about how to manage complexity. Coupling is defined as “the degree of interdependence between software modules; a measure of how closely connected two routines or modules are; the strength of the relationships between modules.” Coupling is an essential part of any system, and in software, we are often lax in discussing it. We often talk about the value of more loosely coupled systems, but let’s be clear: if the components of your software system are perfectly decoupled, then they can’t communicate with one another. This may, or may not, be helpful.Coupling is not something that we can, or should, aim to always wholly eliminate. However, coupling is the thing that impacts most directly on our ability to reliably, repeatably, and sustainably create and deliver software. Managing the coupling in our systems, and in the organizations that create them, is front and center in our ability to create software.To manage the amount of work necessary to achieve all of this, we are crazy if we don’t try to make our lives easier by keeping the tests as simple as we can and by designing our system as testable code. Since testable code is modular with a good separation of concerns, automated testing creates a positive feedback loop that enhances our ability to design better systems, limit the blast radius of mistakes, and make changes more safely. Ultimately, the combination of these three techniques provides a massive step forward in our ability to make changes incrementally.Our aim is to manage complexity with these techniques, so we allow ourselves to develop systems more incrementally. We will always prefer to make progress in many small steps, rather than a few larger, riskier steps. If we have an organization of more than one small team of people creating software, then we can do that most efficiently if those different groups of people are able to make progress independently of one another.