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Translated😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | A complete primer on advanced knowledge for internet Java engineers: covering high concurrency, distributed systems, high availability, microservices, massive data processing, and other areas

Translated🔥LeetCode solutions in any programming language | Solutions to LeetCode, "Jianzhi Offer (2nd Edition)" (剑指 Offer), and "Cracking the Coding Interview (6th Edition)" (程序员面试金典) implemented in multiple programming languages

Translated🌍 Algorithm training for beginners | Includes four parts: ①. Interview experiences from major tech companies ②. LeetCode illustrated solutions ③. 1,000 open-source e-books ④. 100 technical mind maps (the project took hundreds of hours; I hope you can give it a star to support it, 🌹thanks~) Recommended free ChatGPT websites

TranslatedLearn step by step: Spring Boot, Spring Boot & Shiro, Spring Batch, Spring Cloud, Spring Cloud Alibaba, Spring Security & Spring Security OAuth2. Source code for the blog's Spring series: https://mrbird.cc

TranslatedA repository covering six columns: Spring Boot 2.X, Spring Cloud, Spring Cloud Alibaba, Dubbo, distributed message queues, and distributed transactions. I hope you will give it a quick tap and click Star in the upper right corner. Thank you, 1024

TranslatedAn easy-to-understand, witty and humorous Java learning guide, covering core knowledge points such as Java basics, Java concurrent programming, the Java Virtual Machine, Java enterprise development, and Java interviews. To learn Java, look no further than 二哥's (Erge, "Second Brother") Java advancement path 😄

Translatedflink learning blog. http://www.54tianzhisheng.cn/ Covers Flink introduction, concepts, principles, hands-on practice, performance tuning, source code analysis, and more. Includes learning examples involving Flink Connector, Metrics, Library, DataStream API, Table API & SQL, and also shares large-scale project cases of Flink in production (PV/UV, log storage, real-time deduplication of 10 billion records, monitoring and alerting). You are welcome to support my column 《大数据实时计算引擎 Flink 实战与性能优化》 ("Big Data Real-Time Computing Engine Flink: Hands-On Practice and Performance Optimization")

mall学习教程,架构、业务、技术要点全方位解析。mall项目(60k+star)是一套电商系统,使用现阶段主流技术实现。涵盖了SpringBoot、MyBatis、Elasticsearch、RabbitMQ、Redis、MongoDB、MySQL等技术,采用Docker容器化部署。