收钱吧中高级Java开发工程师(J10834)

Getting to Know the Language

这是专门针对小白的零基础Java教程。

Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.

和单线程相比，多线程编程的特点在于：多线程经常需要读写共享数据，并且需要同步。

This video is an introduction to multithreading in modern C++.

Rust threading is easy to implement and improves the efficiency of your applications on multi-core systems!

设计模式，即Design Patterns，是指在软件设计中，被反复使用的一种代码设计经验。使用设计模式的目的是为了可重用代码，提高代码的可扩展性和可维护性。

Design patterns are typical solutions to common problems in software design. Each pattern is like a blueprint that you can customize to solve a particular design problem in your code.

创建型模式、结构型模式和行为模式。

Design Patterns tutorial explained in simple words using real-world examples.

The Go App Optimization Guide is a series of in-depth, technical articles for developers who want to get more performance out of their Go code without relying on guesswork or cargo cult patterns.

This course is designed for those new to web performance, a vital aspect of the user experience.

Application performance is not just a simple concern for most organizations; it’s a critical factor in their business’s success.

Performance tuning is an experimental science, but that doesn’t mean engineers should resort to guesswork and folklore to get the job done.

Get all the tutorials, learning paths, and more you need to start building—fast.

REmote DIctionary Server(Redis) 是一个由 Salvatore Sanfilippo 写的 key-value 存储系统，是跨平台的非关系型数据库。

In this video I will be covering Redis in depth from how to install it, what commands you can use, all the way to how to use it in a real world project.

In this Apache Kafka fundamentals course, we introduce you to the basic Apache Kafka elements and APIs, as well as the broader Kafka ecosystem.

Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.