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React Anti-Patterns

React Anti-Patterns

By : Juntao Qiu
4.8 (10)
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React Anti-Patterns

React Anti-Patterns

4.8 (10)
By: Juntao Qiu

Overview of this book

Take your React development skills to the next level by examining common anti-patterns with expert insights and practical solutions, to refine your codebases into sophisticated and scalable creations. Through this easy-to-follow guide, React Anti-Patterns serves as a roadmap to elevating the efficiency and maintainability of your React projects. You’ll begin by familiarizing yourself with the essential aspects of React before exploring strategies for structuring React applications and creating well-organized, modular, and easy-to-maintain codebases. From identifying and addressing common anti-patterns using refactoring techniques to harnessing the power of test-driven development (TDD), you’ll learn about the tools and techniques necessary to create reliable and robust tests. As you advance, you’ll get to grips with business logic and design patterns that offer solutions to prevalent challenges faced in React development. The book also offers insights into using composition patterns, such as code splitting and multiple entry points, to enhance the flexibility and modularity of your React applications, guiding you through end-to-end project implementation. By the end of this React book, you’ll be able to overcome common challenges and pitfalls to transform your React projects into elegant, efficient, and maintainable codebases.
Table of Contents (20 chapters)
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Free Chapter
1
Part 1:Introducing the Fundamentals
6
Part 2: Embracing Testing Techniques
10
Part 3: Unveiling Business Logic and Design Patterns
14
Part 4: Engaging in Practical Implementation

Using Replace Loop with Pipeline

The Replace Loop with Pipeline refactoring technique, as the name implies, is about replacing a loop structure with a pipeline of transformations, commonly achieved by using higher-order functions or methods such as map, filter, and reduce in functional programming languages such as JavaScript.

In the case of JavaScript, the Array prototype has methods such as map, filter, and reduce that can be chained together to form a pipeline. Each of these methods receives a function as an argument and applies this function to each element in the array, effectively transforming the array in some manner.

However, keep in mind that while replacing loops with pipelines can make the code cleaner and more readable, it might not always be the most efficient option, especially when dealing with very large datasets. So, as with all refactorings, you need to balance readability and maintainability with performance requirements in cases when you need to iterate through...

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