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Tags: Study notes
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Translated😱 From the source code level, analyze and dig into the underlying implementation principles of mainstream technologies in the internet industry, making it convenient for developers to "improve their technical depth". Currently covers the Spring family of frameworks, the Mybatis, Netty, and Dubbo frameworks, and middleware such as Redis and Tomcat

  • sourcecode-analysis
  • spring
  • mybatis
  • netty

Translated✍🏻 Source Code Deep Dives, System Design & Engineering Blogs | Halfrost-Field (冰霜之地, "Land of Frost"): notes on source code analysis, system design, and engineering practice

  • ios
  • objective-c
  • swift
  • javascript

Translated🚀 fullstack tutorial 2022, backend tech stack / path to becoming an architect / full-stack development community, spring recruitment / autumn recruitment / campus recruitment / interviews

Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression

  • adaboost
  • logistic
  • svm
  • smo

Translated:anchor: A collection of reading notes from my career as a game programmer. You can think of it as an enhanced blog. It covers graphics, real-time rendering, programming practice, GPU programming, design patterns, software engineering, and more. Keep Reading , Keep Writing , Keep Coding.

TranslatedCovers the core concepts and key features of the Spring framework, including the use of the Inversion of Control (IOC) container, the principles and practice of Aspect-Oriented Programming (AOP), the approaches and implementation of transaction management, the flow of Spring MVC and how controllers work, as well as in-depth study of data access, security, Boot auto-configuration and other areas in Spring. In addition, it includes the application of the Spring event mechanism, advanced topics such as cache abstraction and reactive programming, and an in-depth exploration of the programming style and design patterns of the Spring source code.

TranslatedThis repo has now been transformed into cxuan-ai-labs: an ordinary developer's personal lab in the AI era, used to record AI articles, tool resources, Agent experiments, model observations, post-mortems of pitfalls encountered, and some AI works that are not necessarily mature but are real and interesting. The old Java content has been archived and kept, and the new main focus has shifted to AI.