What is React and how is it different from other JavaScript frameworks?

Quality Thought is the best data science course training institute in Hyderabad, offering specialized training in data science along with a unique live internship program. Our comprehensive curriculum covers essential concepts such as machine learning, deep learning, data visualization, data wrangling, and statistical analysis, providing students with the skills required to thrive in the rapidly growing field of data science.

Our live internship program gives students the opportunity to work on real-world projects, applying theoretical knowledge to practical challenges and gaining valuable industry experience. This hands-on approach not only enhances learning but also helps build a strong portfolio that can impress potential employers.

As a leading Data Science training institute in Hyderabad, Quality Thought focuses on personalized training with small batch sizes, allowing for greater interaction with instructors. Students gain in-depth knowledge of popular tools and technologies such as Python, R, SQL, Tableau, and more.

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What is React, and how is it different from other JavaScript frameworks?

If you’re a student pursuing Data Science, you often work with data, models, statistics, and visualizations. But sometimes you might want to present those models & visualizations in a web app or dashboard. That’s where front-end tools like React come in.

What is React?

  • React (also called React.js or ReactJS) is an open-source JavaScript library (not a full framework) designed for building user interfaces, especially UI components, maintained by Meta (formerly Facebook) plus a community.

  • It emphasizes a component-based architecture: you build independent, reusable pieces (components) that maintain their own state and render UI based on that state. React uses a virtual DOM to efficiently update only the parts of the real DOM that need to change, which helps performance.

  • React supports modern tools like Hooks (e.g. useState, useEffect) to manage state and side effects in functional components.

React’s popularity & stats

To show how widely React is used, here are some recent statistics:

  • React is used by ~40.6% of developers in the StackOverflow 2023 Developer Survey, making it the most popular front-end library/framework.

  • As of mid-2025, React is used by 7.4% of all websites where the JavaScript library is known.

  • React has over 207,000+ stars on GitHub, indicating large community engagement.

  • Weekly downloads from NPM exceed 22 million for React (so many developers are building with it) as of 2025.

Why React is relevant for Data Science students

Data Science is not just about analysis; it's also about communication. You may build models, run analyses in Python/R, but when you want dashboards, interactive visualizations, web apps (for example a web-based dashboard to show predictions or data pipelines), React can help you:

  • Build responsive, interactive dashboards that update as data changes.

  • Integrate with backend services (for example Python APIs, Flask, Django) to fetch data or ML model outputs.

  • Use libraries like D3.js, Chart.js, or similar for visualization in React components.

Quality Thought & How We Can Help

At Quality Thought, our mission is to help educational students acquire both strong theoretical foundations and practical skills. Here’s how we help in context of React + Data Science:

  • We include modules which teach you how to integrate frontend tech (like React) with Data Science workflows — how to build dashboards, interactive UIs, link your Python backend or ML model with React frontend.

  • In our courses, we emphasize Quality Thought: teaching not just “how to code React”, but how to design maintainable, scalable code, adhere to best practices (component design, state management, performance), and think about user experience and usability from the data science perspective.

  • Also, we provide hands-on projects so you as students can build your own small web apps or dashboards, gaining experience end-to-end (data → model → backend API → React frontend).

Conclusion

React is more than just another JavaScript tool: for Data Science students, it provides a powerful way to take your analysis and sharing of data to the next level. Compared to other frameworks, React offers high flexibility, wide adoption, a strong community, and excellent fit for interactive UIs and dashboards. With Quality Thought embedded in our teaching, our courses help you build both the technical skills and the design & architectural discipline needed to use React effectively. Are you ready to build your first data-driven React dashboard and stand out among your peers?

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