ohgh1ieD
Joined 10 years ago
Joined 10 years ago
Once you master the Austrian 'Schmäh' everything is good :)
That's from their page, for me this looks like you have to pay it back if you, for example got bad grades, in fact I can ensure you, that the limit is 50%, if you screw up in more than 50% of your courses, you are done.
You have to pay it back, if you fail in your courses.
Edit: Besides that, I agree, except one thing, I'd say C# is just MS's reaction that there is something awesome which does not belong to them.
It might be true but that's still not a good advice, you should rather ( if you know how ) advice him how to make it 'here' instead of 'there'.
What's the reason for the switch ?
For us ( the company where I work ) it would be very difficult to rewrite our applications to core, so we decided to only introduce core to new in-house projects.
You got your answer, learn core
I'm not sure if asp.net core is production ready, I wouldn't use it right now for my projects and I also doubt ( someone correct me if this is wrong ) that established companies are looking for asp.net core devs, it might be quite hard to find freelancing jobs.
So it's probably a better idea to use node for freelancing.
Now combined, you actually don't like node, asp.net core is not production ready and companies are not using it (yet), what else could you do ? asp.net mvc, lots of jobs, solid mature framework and C#.
Edit: I also think that it won't be hard to switch from asp.net mvc to asp.net core.
I think that lots of dev's are already interested in the human genom, biochemistry and life science but it's somehow too far away, it's not predicable enough for us, that's because we (humans) haven't understood it yet.
But there will be a time were all those topics will be more predicable for us developers, we will gain more interest in biological programming ?
There will be coursera/pluralsight courses about 'Extract your own DNA and make it blink' courses.
Biology is going to be programmable like a microcontroller. We will order Do it yourself kits like Arduinos and Pi's from Amazon.
Edit:
And that's something I'd really love to see, there is so much potential once real hackers try to solve problems in biology, if we take a closer look at the open source community and how many amazing things they (we) have created, all that awesomeness could also become true for biology.
A few links:
https://en.wikipedia.org/wiki/Genome_editing https://en.wikipedia.org/wiki/Do-it-yourself_biology
> However, it didn't scale that well for us.
What kind of scaling problems did you encounter ?