How do you learn a new back-end language quickly and effectively?

-I'll start by providing some basic examples related to problems like the Fibonacci sequence, sorting algorithms, etc., to get familiar with syntax, functions, etc. -Then I'll move on to learning about libraries supported by the language. -Finally, I'll learn about frameworks of that language to write basic CRUD APIs. -I'll take some public code from GitHub to reference real projects

1. First and foremost understand syntax of the backend framework that you are using, like js for node and python for flask. 2. Understand the basic concepts like authentication, authorization, database operations with or without an orm, middlewares or policies, error handling, threading etc 3 Follow a proper tutorial instead of reading the entire documentation of the framework. Learning from people you have already did those is always a wise choice. 4. Build a small application which covers all the use cases which are mentioned in point number 2.

Choose any programming language that you want to learn first step you should have knowledge about it and learn its basics and syntax, practice small small programs with its syntax

In my experience, all big things come from small beginnings, before doing anything, we need to learn about the basic and having a solid foundation will save time when we learn the framework and do the project

- Learn the 20% of knowledge that every language has and uses commonly - Environment setup: Set up a development environment, including package managers, testing tools, and other essential libraries. - Do personal projects

Having a strong foundation in the basics is essential to becoming an expert in a programming language. You can start with small projects while learning the basic concepts, and once you feel you are no longer stagnant, it's time to move on to larger projects.

To develop a backend in a new language, the idea is to make a proof of concept. But before that, you must know the basics of the language. Here are some topics: - Declaring variables, functions, control structures (if, else, switch), and loops (for, while) - Data Types: Basic types (integers, floats, strings, booleans) and more advanced structures (lists, arrays, dictionaries, tuples). - Operators: Using operators for arithmetic, comparison, logical operations, and string manipulation. - Error Handling: Managing errors and exceptions, using try-catch or similar constructs. - Development Environment: Setting up compilers, interpreters, and necessary tools.

An advice for new learner is starting first with sample projects and learn what ever appear in the project. it will help us to imagine what is purpose of feature that we use due to real example.

Creating projects is undoubtedly the fastest way to learn a new programming language. If you have done projects in the past, I strongly recommend trying to redo them using the new language and noting the advantages and disadvantages. If you haven't done any projects before, choose a tutorial to follow, but try to do it without looking at the step-by-step instructions. After completing it, compare your work with the tutorial and learn from your successes and mistakes.

The fastest way to learn a new language or framework is to do the project. When we have basic knowledge about the language, we can create our own pet project, like an e-commerce website or a social media website. After that, we can contribute to the OSS to enhance our knowledge and how people write clean code.

When you feel you are comfortable enough with it, you may also search for some open-source projects, and start by understanding the project. Find some easy features you can code (there are usually plenty in the backlog), and send them in via pull request. Other contributors will review your code and give you tips, this way you'll be simultaneously helping the project and receiving some good tips that can be valuable while walking down this path.

Once you have coded the project and you feel your code is acceptable as a solution, look up some other similar projects and compare yours to theirs. What features did they use that you didn't? Is their approach similar to what you did? If it isn't, why do you think they applied a different way of thinking to this particular challenge? That kind of analysis will help put you in the right mindset to tackle future endeavors utilizing that language.

I completely agree with this opinion; the simplest way is to start with a project. Although I know there will be initial difficulties, this helps us understand the language better. We can take a similar project in another language and build a similar one (with fewer features).

Tools are very important when you are trying to increase your productivity while working with a programming language. However, when learning a new language, they can become a hindrance if used incorrectly. For example, it's not uncommon to see programmers who cannot write code without the help of an IDE, text editor, Copilot, and other tools. So, first make sure you have learned enough of the programming language before relying on these tools.

Use the IDE to help us avoid syntax errors when writing code, show the order of parameters in the function, etc? GitHub and GitLab help us manage code versions and resolve conflicts. Nowadays, we have ChatGPT or Github Copilot, which will boost our time and productivity when working. In conclusion, we need to learn the programming language, but we must also employ proficient tools.

I have used GitHub Copilot for a time. That's a very useful tool, but I found myself relying on it too much, using its suggestions without thinking critically, which made my brain lazy. AI tools like Copilot and ChatGPT are wonderful tools for handling tedious tasks. However, for tasks that need creativity, try to think about your problems before using them. Additionally, using a powerful IDE like Jetbrains IDE family can significantly increase your productivity.

A bit of caution when talking about the use of tooling for someone who is just starting: Tools like Heroku or even Git can make learning a new language harder, as they introduce extra complexity: The code may be correct, but a bad tool configuration can bring your starter project to a halt, resulting in frustration about the overall learning experience. However, if you're already familiar with these tools, they can provide a great insight into how each language integrates with them.

Nowadays, IDEs and extensions are very powerful and support everyone in coding. They can indeed suggest code to help people code faster, but when learning a new language, I sometimes feel that they make people forget the actual syntax (code snippets), which isn't very good.

For my instance, i enable notifications and receive emails every morning from Medium Daily Digest, where I update the latest technology trends as well as essential knowledge about backend programming. I also participate in programming communities to stay updated and learn from others issues and experiences. I attend monthly tech talks at my company, which not only help me enhance my knowledge but also strengthen our relationships.

Learning from the community is always the best way to broaden your knowledge. It will help you not only stay updated with the latest technology news but also avoid common mistakes when developing your applications. Sharing your knowledge and getting feedback is also a useful approach to consolidate your background and prove your ability.

When developers share their experiences with a language, we often learn things that we might not have noticed otherwise, including tricks that aren't shared elsewhere. They can help us understand better, and share tips on optimization and writing more logical code.

If you're coming from another language or framework, this is a great way to quickly pick up a new one. Asking/searching questions like "I did X in Flask, how do you do that in FastAPI?" or "what's the Rails way to handle this Laravel concept?" can really speed up your transition.

Conseils et astuces pratiques : Les développeurs expérimentés peuvent partager des conseils pratiques et des astuces qui ne sont pas toujours documentés dans les livres ou les cours en ligne. Leur expérience pratique peut vous aider à éviter les pièges courants et à optimiser votre développement. Exemples concrets : Les blogs, articles, vidéos et webinaires peuvent fournir des exemples concrets d'utilisation du langage et de son framework dans des projets réels. Cela vous permet d'acquérir une compréhension plus profonde et contextuelle de la fa?on dont ces outils sont utilisés dans la pratique.

Learning a new back-end language quickly depends on your goals. For rapid MVP development, stick with a language you're already comfortable with to leverage existing skills. If you're focusing on data processing and analysis, Python is an excellent choice due to its extensive libraries and strong ecosystem for data manipulation and machine learning. Regardless of the language, effective learning comes from diving into official documentation, building small projects, participating in online communities, and focusing on core concepts rather than syntax memorization.

Every language has its beauty. When you learn a language, it would be great if you knew about the authors of that language and the reason why they invented it. You should understand the strengths and limitations of the language to apply it to your problems. For example, Python uses a global interpreter lock (GIL), which makes it single-threaded. How can we utilize the power of multi-threading in Python? Try to build a strong foundation, it will help you become familiar with a new language easily. When you learn C, Java, Node.js, Python, or Golang, you will find the relevance of each language in the others.

Something that has worked for me is to understand core concepts that are shared across multiple languages, as those provide a common ground between a language you may already be familiar with, and the one you're trying to learn. You can start from simple ideas like control structures (conditionals and loops) definition of data structures and functions to more complex questions like: - How does the language deal with the absence of a value in a variable? Does it use "null"? Does it apply modifiers like "?" or wrappers like "Optional"? - How does it represent asynchronous network calls? Does it use callback functions or special types like Promise or Future? - How does it handle memory references? Pointers? Using variables directly?

- Understand Basics: Learn syntax, data types, and basic constructs. - Official Docs: Follow tutorials and guides. - Practical Projects: Build small projects. - Code Daily: Practice consistently. - Community: Join forums and ask questions. - Debug: Learn debugging tools and techniques. - Read Code: Study open-source projects. - Feedback: Seek code reviews. - Patterns: Learn common design patterns. - Integrate: Use it in real-world applications.

Choosing between AWS S3 and EFS for back-end web development depends on your specific needs. AWS S3 is ideal for scalable object storage, perfect for storing and retrieving any amount of data, such as user-uploaded files or backups. In contrast, AWS EFS offers a scalable file system for applications requiring a shared file system across multiple instances. In my experience, integrating S3 with a static website was seamless and cost-effective, while EFS was invaluable for real-time data processing tasks. A helpful tip: for frequent file access with low latency, EFS is often the better choice.