Just don't .NET. It was a failed idea from the start. Node and javascript are easier to learn, with much wider adoption, and more active communities.

.NET is an old experiment in using a markup language to separate the UI from the business logic. The idea was that this would allow a small team of hyper-competent engineers to build the tooling and code for a large team of less-skilled front-end developers to leverage. In practice, leveraging that customized UI markup requires understanding and adjusting the underlying code. The result is that any UI change requires a hyper-competent .NET engineer.

However, many larger companies bought into it a long time ago, and now have a hard dependency on old monolithic .NET ecosystems, and they do need .NET developers to maintain them.

So, you can get a well paying .NET job without much difficulty. However, you'll neither like it, nor be doing anything interesting. There's no growth here, only a very long slow death of .NET (that'll probably take another 20 years).

Node and Javascript are sticking around, and still growing.

What I can see, you are confusing yourself, if you studied .Net now it's better to work as .Net developer, and you will find opportunities as fresh. Just search and don't waste your time. After you get more experience in .Net, then you can learn NodeJS if you still need to learn it.

What is your objective here? It sounds like this is not to solve a particular issue, but is about learning? If so, do you have a preference for things used on the front-end or the backend? That decision would typically lead down a JAVA-oriented path or a JavaScript-oriented path.

If you decide to learn JAVA, then Spring + Spring-boot is a very relevant framework. A competitor is Microprofile + Quarkus. The Quarkus part is newer, but gaining a lot of traction.

Javascript is not a framework, it's programming language that can run in browser or as server side application developed with node.js framework.

If you are already committed to Python for the data analysis then it would make sense to use Django for the framework and stick with Python throughout. In general the fewer technologies you use (unless there is real justification) will improve process and long term costs.

All things being equal the fact you would not have less (likely no) licensing costs with a Python based solution will overall reduce your long term costs.

If you will be doing data analysis and complex algorithms Django is best suited for this because of it' maturity and the huge communities providing lots of Python libraries for data analysis and more.

The most relevant part is the central architecture more than the specific backend. For me, it makes sense to go for an event-driven solution. In this case, an event is emitted on every new data, and one or more listeners react to it. In AWS, you can easily get this by storing your data in DynamoDB, which is pretty fast, and have as many lambdas working on the received data (here you can find more details). This way, you keep your worker(s) busy fetching data while others consolidate it. I wouldn't get too crazy on the lambdas, and I'd start with one as there will be only one client by your description. My only concern is how similar the APIs you're consuming are. Depending on that, it may be easier to have different lambdas by target API. My only note on the backend language is that if you want low latency, I'd discard Python and Ruby and choose Go (I know that is not in the list, but given that you're open to learning a new language, you could give it a try). It is easy to learn, has excellent performance, and is the only Lamdba runtime with an X (1.X) in the supported language, making it a great choice.

Hey there 👋,

Daniel from the Prisma team here.

I think your choice of a stack would work well for your final year project.

Some recommendations: - Use PostgreSQL if you need a stable stack. Prisma support for MongoDB is currently in Preview and therefore isn't stable. Moreover, PostgreSQL being a relational database enforces a schema more strictly than MongoDB which is useful given that your data model involves multiple relations. - If your Django backend exposes a REST API, you can also expose it over the GraphQL API by proxying requests from the GraphQL API to the REST API. That way, you have a unified API for all operations. This is typically known as wrapping. - Regarding the GraphQL part, I would consider looking at Nexus and nexus-prisma.

For inspiration, check out the Prisma Examples ​repository which contains many ready-to-run examples.

Here's another fully-fledged example using Prisma, Fastify, GraphQL, and PostgreSQL: https://github.com/2color/fastify-graphql-nexus-prisma

Hi. Maybe you can try use FastAPI instead Django https://fastapi.tiangolo.com It could be faster. The FastAPI documentation is so useful and elegant.

Also you can try split a little more the backend and use an "microservice" architecture. Using Kubernetes to deploy your services.

Try to do it with less - Nodejs + Redis + socket.io, optionally you can always communicate with django, but you can do it all in Nodejs, use pm2 and cluster too. For Redis you can also use Pub/Sub, is a good combination for future scaling.

Since the course is in Python, a Python web framework seems like a logical choice. Django is a good option, but Flask and FastAPI are far more lightweight than Django, and great for quickly adding an API on top of your ML/NLP code. Django has its merits, especially the generated admin interface, but requires a lot of boilerplate code.

The one thing I wouldn't do is mix the two, different structures and ideas for how to do things

Taking a class in python already? I'd lean to Django Want to learn a language that will carry forward to a good paying job .net

Python is an excellent language, though it's often being replaced with things like go which uses a similar syntax

Over time you're going to learn many languages if you want to be a great programmer spend your time with one and dive deep, learn what makes it shine and what the draw backs are grow proficient with it and then consider learning something different so you can compare

Early on learning a single language at depth is more important than tinkering with several or learning any specific language

Good luck

If you want to create a reliable video streaming service, you'll probably want to go with a UDP approach. TCP will throw an exception as soon as a packet drops. That being said..... Node.js is ultimately a bad choice. Way too high-level. I've found, when working with UDP, it's much more performant on lower level languages like C, etc. As far as my recommendation, if you want to go with something 'new' and fun, check out GoLang. It's low level, and developed to handle high performance at scale.

That's depend on your experience if you are very well in C# you should start using the Technology that's you know and like it.

So none of these tools may be bad for your implementation of this streaming app. But one thing to consider is what are you trying to achieve. If your application is more front end facing with streaming to a backend service C# may be your better implementation path just due to its greater overall versatility in terms of options for mobile, backend development, front end development, service development, etc... However if your focused purely on the streaming aspects and utilizing Amazon or Azure services in conjunction with the language of choice, Python, Node.Js, Django or other technologies may offer a faster option to success. Another thing to consider is many of the streaming platforms today utilize services from cloud vendors to achieve their success more than simply the ingenuity on the part of their internal staff's programming skills. Traditional programming languages like Java, C++, C# are used less these days. Today most teams are piggybacking off these services where its possible to give your application the greatest ability to compete with the big boys. - Your Friendly Neighborhood Tech Manager

You could apparently go for both Node or Django but I would recommend choosing Node as you're building a video streaming app and the biggest video streaming service Netflix used Node in the production.

Take a look at FastAPI if you are going to choose Python

My question for you is: "Which one are you familiar with?" Following your needs, both could do it, but think about it. Now talking about Node.js, in my opinion, if you use JavaScript, there are lots of packages to support your entire project, including native ones for testing TDD and others for BDD. Also the best support on AWS (Amazon Web Services) and GCP (Google Cloud Platform).

There is no problem to keep using node.js for your backend. Keep in mind that you already have expertise in it, so you could focus on development instead of to learn a new syntax/framework. There are good libraries in node.js that could help you in the development (services, validations, integrations, etc) also keeps you with a single language to the whole system. Django, as far as I know, it will provide a solid base for you, but it could be too much for your purpose, also could be more complex than you could need. Java provides to you many frameworks to simplify your integrations also could achieve a good performance. Anyway, I recommend you to follow using node.js, since you already know the syntax/platform.

Django is best suited for your requirement and has a very good community base to reach out for any queries. I have myself built and seen a lot of stuffs which match your requirement.

Hello, Node.js is simply a better option than python if you wish to make your application real-time operations. Also Node.js is a better choice than python for server side development.

But let's get your problem now. For most ERP projects, Node.js is a better choice. Also, since you are already familiar with Node.js, continue with it. Personally, I think Node.js is way better than Django mainly because JS is the god of ERP projects. Java is a good counterpart though.

Will you build it from scratch? There are some open source ERP/CRM solutions that you can use as a base for your solution. SugarCrm is an example. By looking at those, you can then decide which language you'll use for the backend.

I personally suggest NodeJs as you are also familiar with it. Even nodeJS has its own strong frameworks such as NestJS, Loopback etc. And the community is pretty much strong though. If you are looking for a faster development , then always you can go for NodeJS. And its pretty fast though.

I can recommend you a flexible constructor for this purpose. To create a system, you only need sql, and you can connect to any database without any problems. Please see the introductory article about the features, and if you are interested, I can provide access to the test site. My contacts for communication are on the site page https://falconspace.site/docs/vvedenie-v-falcon-space--c-chego-nachat https://falconspace.site/for-it

Hey if you are allready familar with nodejs then just go with it. There are some very nice frameworks out there that can be hold with the big ones.

Examples: AdonisJS or SailsJS

AdonisJS is even very similar like django.

Go with Node.js and use a framework. I can recommend NestJS or Fastifiy as a Backend Framework. They both have a strong community and Fastify is the successor of Express but much faster.

I prefer to use Node.js because you have experainse in it and also you can do anything for this language.