Java full-stack engineer learning route (mind map) will send you into a big factory

Java is one of the most popular programming languages ​​in the software industry today. Many businesses require Java developers to build and maintain applications. Therefore, as a Java developer, it is crucial to learn the Java programming language and related technologies. Here are some suggestions for a Java learning path:

Java basics

Java Basics is the first step in learning Java.

  1. Learn the basic syntax of Java, such as variables, data types, operators, control structures, etc.
  2. Learn basic concepts of object-oriented programming, such as classes, objects, inheritance, encapsulation, polymorphism, and more.
  3. Master the exception handling mechanism of Java.
  4. Learn input and output streams and file operations in Java.

JavaAdvanced

Advanced Java includes multi-threading, network programming, collection framework, reflection mechanism, etc.

  1. Learn Java's multithreaded programming.
  2. Master network programming in Java.
  3. Learn Java's collection framework, such as List, Map, Set, etc.
  4. Understand Java's reflection mechanism.

web development

  • HTML/CSS/JavaScript: Master the basic technologies of Web front-end development, including HTML, CSS, JavaScript, etc.
  • Servlet/JSP: Understand the basic concepts and usage of Servlet and JSP, and be able to write simple Web applications.
  • Spring framework: Familiar with the basic concept and usage of Spring framework, and be able to use Spring for Web application development.

database

  • SQL: Understand the basic syntax of SQL and the principles of relational databases, and be able to write simple SQL statements.
  • MySQL: Familiar with the basic concept and usage of MySQL, able to design, optimize and manage MySQL database.
  • NoSQL: Understand the basic concepts and usage methods of NoSQL databases, and be able to use common NoSQL databases such as Redis and MongoDB.

background development

  • Web framework: Familiar with commonly used web frameworks, such as Spring MVC, Struts2, etc., and be able to use web frameworks for background development.
  • Data access layer: Understand the basic principles and common technologies of the data access layer, such as JDBC, ORM framework, etc., and be able to develop and optimize the data access layer.

Spring Framework

The Spring framework is a popular Java development framework widely used in enterprise-level application development.

  1. Understand the basic concepts and architecture of the Spring framework.
  2. Learn how to use Spring for dependency injection and inversion of control.
  3. Master the basic concepts and application scenarios of Spring AOP (aspect-oriented programming).
  4. Learn persistence-related modules such as Spring JDBC, ORM, and transaction management.

Spring Boot

Spring Boot is an extension of the Spring framework designed to simplify the development and deployment of Spring applications.

  1. Understand the basic concepts and main features of Spring Boot.
  2. Learn how to build web applications with Spring Boot.
  3. Master Spring Boot's auto-configuration and starters.
  4. Learn how to use Spring Boot for unit and integration testing.

Spring Cloud

Spring Cloud is a collection of frameworks for building distributed systems.

  1. Understand the main components of Spring Cloud, such as Eureka, Zuul, Hystrix, etc.
  2. Master Spring Cloud Config to implement the configuration center.
  3. Learn how to build a microservices architecture with Spring Cloud.

microservice

Microservices is an architectural style that splits a single application into a set of small services.

  1. Understand the basic concepts and principles of microservices architecture.
  2. Master how to use Spring Cloud to build a microservice architecture.
  3. Learn important components such as service discovery, load balancing, and circuit breakers in the microservice architecture.

advanced technology

  • Microservice architecture: Understand the basic concepts, advantages and disadvantages of microservice architecture, and be able to use Spring Cloud, Dubbo and other frameworks for microservice development.
  • Big data technology: Understand the basic concepts and usage methods of big data technologies such as Hadoop, Spark, and Flink, and be able to process and analyze big data.
  • Artificial intelligence and machine learning: Understand the basic concepts and applications of artificial intelligence and machine learning, and be able to use TensorFlow, PyTorch and other frameworks for deep learning and machine learning development.

other essential skills

Data Structures and Algorithms

  • Basic data structure: Understand common data structures, such as arrays, linked lists, stacks, queues, trees, etc., and be able to operate and apply data structures.
  • Common algorithms: Understand common sorting algorithms, search algorithms and string matching algorithms, and be able to analyze the time complexity and space complexity of the algorithms.
  • Algorithm design and optimization: understand algorithm design principles and optimization techniques, and be able to perform algorithm design and performance optimization.

Linux and operating systems

  • Linux foundation: Understand the basic concepts and usage methods of the Linux operating system, and be able to use Linux commands and Shell scripts proficiently.
  • Principles of the operating system: understand the basic principles of the operating system, including process management, memory management, file system, etc., and be able to analyze the performance and problems of the operating system.
  • Network programming: Understand the basic principles and common technologies of network programming, such as TCP/IP protocol, Socket programming, etc., and be able to develop network applications.

Tools and Development Environment

  • IDE: Familiar with commonly used Java IDEs, such as Eclipse, IntelliJ IDEA, etc., and be able to skillfully use IDEs for development.
  • Version control: understand the basic concepts and usage of Git, and be able to use Git for code management and collaborative development.
  • Construction tools: Understand the basic concepts and usage of Maven and Gradle, and be able to use construction tools for project construction and management.

other

  • Technical document reading and writing: able to read and write technical documents proficiently, including API documents, design documents, technical blogs, etc.
  • Teamwork and communication: Possess good teamwork spirit and communication skills, and be able to cooperate with other team members to complete project tasks.
  • Technology trends and learning ability: keep an eye on technology development trends, and be able to independently learn and master new technologies and frameworks.

Mind map and how to obtain it

I organized the above content into a mind map.
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In conclusion, learning Java is an ongoing process. With the development of technology, the Java technology stack is also constantly updated. Only by mastering the Java programming language and related technologies can we maintain our competitiveness in the fiercely competitive market. I hope that you will avoid detours and realize the freedom of wealth as soon as possible. Go ahead! ! !

The mind map is obtained by clicking below

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Origin blog.csdn.net/sulli_F/article/details/130037262