This learning path is for Java developers who are looking to move a level up and learn how to build robust applications in the latest version of Java.

Master retrieval-augmented generation architecture and fine-tune your AI stack, along with discovering real-world use cases and best practices to create powerful AI apps Key Features Get to grips with the fundamentals of LLMs, vector databases, and Python frameworks Implement effective retrieval-augmented generation strategies with MongoDB Atlas Optimize AI models for performance and accuracy with model compression and deployment optimization

Nicholas S. Williams是Java和相关技术领域的一位著名专家。在2010年，他被授予中部田纳西州年度软件工程师的称号。Nick大量参与了开源社区工作，为Apache Log4J、Apache Tomcat、Jackon Mapper、Spring Framework和Spring Security等项目贡献了bug修复、新特性和文档。

Improve your app development skills by building a ChatGPT clone, code bug fixer, quiz generator, translation app, email auto-reply, PowerPoint generator, and more Key Features Transition into an expert AI developer by mastering ChatGPT concepts, including fine-tuning and integrations Gain hands-on experience through real-world projects covering a wide range of AI applications Implement payment systems in your applications by integrating the ChatGPT AP

Hit the ground running with React, the open-source technology from Facebook for building rich web applications fast. With this practical guide, Yahoo! web developer Stoyan Stefanov teaches you how to build components—React’s basic building blocks—and organize them into maintainable, large-scale apps. If you’re familiar with basic JavaScript syntax, you’re ready to get started. ...(展开全部)

This book is for Java developers who would like to implement DI in their application. Prior knowledge of the Spring and Guice frameworks and Java programming is assumed.

This book is for Java developers who would like to implement DI in their application. Prior knowledge of the Spring and Guice frameworks and Java programming is assumed.

Python is the most widely used programming language for building data science applications. Complete with step-by-step instructions, this book contains easy-to-follow tutorials to help you learn Python and develop real-world data science projects. The "secret sauce" of the book is its curated list of topics and solutions, put together using a range of real-world projects, covering initial data collection, data analysis, and production.This Python book starts by taking you through the basics of programming, right from variables and data types to classes and functions. You’ll learn how to write idiomatic code and test and debug it, and discover how you can create packages or use the range of built-in ones. You’ll also be introduced to the extensive ecosystem of Python data science packages, including NumPy, Pandas, scikit-learn, Altair, and Datashader. Furthermore, you’ll be able to perform data analysis, train models, and interpret and communicate the results. Finally, you’ll get to grips with structuring and scheduling scripts using Luigi and sharing your machine learning models with the world as a microservice.By the end of the book, you’ll have learned not only how to implement Python in data science projects, but also how to maintain and design them to meet high programming standards.

Building Responsive Web Applications with AJAX and PHP is the most practical and efficient resource a reader can get to enter the exciting world of AJAX. This book will teach you how to create faster, lighter, better web applications by using the AJAX ingredients technologies to their full potential. Assuming a basic knowledge of PHP, XML, JavaScript and MySQL, this book will h...(展开全部)