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143324911
Modern Full-Stack React Projects VOL-II: : Build, Maintain, and Deploy Intelligent Web Apps Using MongoDB, Express, React, Node.js, and Machine
Item #:
143324911
XOF 25145
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What Stands Out
Comprehensive Learning
Gain mastery in full-stack development by working on modern, real-world projects that cover critical technologies like MongoDB, Express, React, and Node.js with an emphasis on practical application.
Machine Learning Integration
Learn to incorporate machine learning into web applications, enhancing functionality and user experience, setting you apart from traditional web development courses.
Deployment Skills
Acquire essential skills in deploying intelligent web applications, ensuring you not only build but also maintain and scale your projects efficiently in production environments.
Product Details
- Build, Maintain, and Deploy Intelligent Web Apps Using MongoDB, Express, React, Node.js, and Machine LearningIn the age of artificial intelligence and automation, businesses and applications are shifting beyond traditional web development into the realm of intelligent digital platforms — where applications don’t just serve static content but respond, adapt, and learn from user behavior and data. This book is designed to bridge that very gap. It’s a complete, hands-on guide to building modern, intelligent full-stack applications using the powerful MERN stack (MongoDB, Express, React, Node.js) — integrated with Python and Machine Learning models.Whether you're a student preparing for your tech career, a professional developer looking to level up, or a data scientist wanting to see your models in action — this book will empower you to design, build, and deploy end-to-end intelligent web applications from scratch. It goes beyond CRUD apps and static dashboards; here, you'll learn how to build systems that think, analyze, and respond — all in real-time.This book brings together three critical pillars: modern full-stack development, data science integration, and real-world deployment practices.We begin by exploring the purpose and power of modern full-stack intelligence. You’ll understand what it means to combine user interfaces, data pipelines, machine learning logic, and DevOps practices into a unified system. We explain how these components interact in real-world scenarios — from building a feedback classification system to deploying intelligent recommendations in live apps. The chapter also sets up the tools and environments you'll need — Git, Node.js, MongoDB, VS Code, Python, and cloud services — preparing you for development in a modern ecosystem.The journey continues into frontend development using modern React. You'll learn how to build dynamic, responsive interfaces using functional components, React Hooks, and efficient state management with Context API and Redux Toolkit. We'll also explore how React integrates with REST APIs and how libraries like Chart.js and D3.js can help visualize data interactively — a key skill in building user-facing analytics, dashboards, and prediction interfaces.On the backend side, we dive deep into Node.js and Express.js, teaching you how to build robust RESTful APIs that interact seamlessly with frontend and database layers. You'll learn how to manage API endpoints, handle user authentication using JWT, apply middleware, and organize your backend code using modular design. This not only ensures scalability but also sets the foundation for integrating AI logic and external services.With the backend foundation in place, you’ll move into the database layer with MongoDB. Unlike traditional relational databases, MongoDB’s flexible schema design makes it an ideal choice for full-stack apps that include AI components, logs, and user-generated data. You'll learn how to design data models, store real-time predictions, capture user interactions, and run complex queries using MongoDB’s aggregation framework. MongoDB Atlas and Compass are also introduced to simplify remote access and data visualization.Now that you’ve built the basic stack, the book transitions into machine learning integration using Python. We take you through building ML models with Scikit-learn, preprocessing data using Pandas, and training basic classifiers and regressors. But instead of stopping at notebooks, you’ll learn how to deploy these models as REST APIs using Flask or FastAPI, and consume them directly in your Node.js app. The integration between Python and Node is handled via RESTful APIs or child processes, offering flexible options depending on your deployment strategy.
| Publisher | Independently published |
| Publication date | June 7, 2025 |
| Language | English |
| Print length | 265 pages |
| ISBN-13 | 979-8287218881 |
| Item Weight | 1.65 pounds (750 grams) |
| Dimensions | 8.49 x 0.79 x 11.24 inches (21.6 x 2 x 28.5 cm) |
| Book 2 of 3 | Modern Full-Stack React Projects |
Who Should Buy?
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Web Developers
Ideal for developers looking to enhance their skills in building modern web applications using full-stack technologies.
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Students and Learners
Perfect for students wanting to gain practical experience in web development and machine learning integrations.
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Tech Enthusiasts
Great for tech enthusiasts eager to explore and experiment with advanced web application development and deployment.
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Absolute Beginners
Not suitable for users with no prior programming experience, as the content may be too advanced and challenging.
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XOF 25145
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Features & Benefits
- Comprehensive guide for building modern full-stack applications.
- Integrates MongoDB, Express, React, Node.js, and Machine Learning.
- Ideal for students, professional developers, and data scientists.
- Focus on real-time intelligent systems beyond static content.
- Covers full development lifecycle from frontend to backend.
- Includes practical tools: Git, Node.js, MongoDB, Python, and cloud services.
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