


Well, guys...
I intend to be a Full-Stack developer and perhaps take a step towards DevOps, but this is something I want to leave for later. I'll give you a list of the order in which I'll take the courses and I'd like to know if they're any good.
I intend to learn Node.js, React.js and React Native...
But I want to be an expert in NodeJS...
Backend
JavaScript and TypeScript - Front-end and Back-end (Full Stack)
146 hours total - 55 hours backend
Udemy
Note: At this point, just do the back-end part.
Node.js Training
50 hours
Rocketseat
GraphQL and Apollo Server course with complete Apollo Client
43 hours
Udemy
Docker: From Basic to Advanced
13 hours
Udemy
Kubernetes: From Basic to Advanced
20.5 hours
Udemy
Front-end
Full-Stack Training
50 hours
Rocketseat
JavaScript and TypeScript - Front-end and Back-end (Full Stack)
146 hours total - 96 hours front-end
Udemy
Professor Otávio
Note: At this point, just do the front-end part.
React.js Training
50 hours
Rocketseat
React.js and Next.js course (intermediate to advanced level)
92.5 hours
Udemy
React Native
75 hours
Rocketseat
And finally I intend to do postgraduate studies:
MBA Full-StackRocketseat Sirius
I would like to know your opinion, if these courses are good, if they are worth it and if I am on the right path...
Can anyone tell me if I need to add, change or remove a course
There are so many courses that I get lost, I'm a beginner...
The above is the detailed content of I intend to take some courses to become a Full-Stack programmer... NodeJS, ReactJS and React Native. For more information, please follow other related articles on the PHP Chinese website!

Introduction I know you may find it strange, what exactly does JavaScript, C and browser have to do? They seem to be unrelated, but in fact, they play a very important role in modern web development. Today we will discuss the close connection between these three. Through this article, you will learn how JavaScript runs in the browser, the role of C in the browser engine, and how they work together to drive rendering and interaction of web pages. We all know the relationship between JavaScript and browser. JavaScript is the core language of front-end development. It runs directly in the browser, making web pages vivid and interesting. Have you ever wondered why JavaScr

Node.js excels at efficient I/O, largely thanks to streams. Streams process data incrementally, avoiding memory overload—ideal for large files, network tasks, and real-time applications. Combining streams with TypeScript's type safety creates a powe

The differences in performance and efficiency between Python and JavaScript are mainly reflected in: 1) As an interpreted language, Python runs slowly but has high development efficiency and is suitable for rapid prototype development; 2) JavaScript is limited to single thread in the browser, but multi-threading and asynchronous I/O can be used to improve performance in Node.js, and both have advantages in actual projects.

JavaScript originated in 1995 and was created by Brandon Ike, and realized the language into C. 1.C language provides high performance and system-level programming capabilities for JavaScript. 2. JavaScript's memory management and performance optimization rely on C language. 3. The cross-platform feature of C language helps JavaScript run efficiently on different operating systems.

JavaScript runs in browsers and Node.js environments and relies on the JavaScript engine to parse and execute code. 1) Generate abstract syntax tree (AST) in the parsing stage; 2) convert AST into bytecode or machine code in the compilation stage; 3) execute the compiled code in the execution stage.

The future trends of Python and JavaScript include: 1. Python will consolidate its position in the fields of scientific computing and AI, 2. JavaScript will promote the development of web technology, 3. Cross-platform development will become a hot topic, and 4. Performance optimization will be the focus. Both will continue to expand application scenarios in their respective fields and make more breakthroughs in performance.

Both Python and JavaScript's choices in development environments are important. 1) Python's development environment includes PyCharm, JupyterNotebook and Anaconda, which are suitable for data science and rapid prototyping. 2) The development environment of JavaScript includes Node.js, VSCode and Webpack, which are suitable for front-end and back-end development. Choosing the right tools according to project needs can improve development efficiency and project success rate.

Yes, the engine core of JavaScript is written in C. 1) The C language provides efficient performance and underlying control, which is suitable for the development of JavaScript engine. 2) Taking the V8 engine as an example, its core is written in C, combining the efficiency and object-oriented characteristics of C. 3) The working principle of the JavaScript engine includes parsing, compiling and execution, and the C language plays a key role in these processes.


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