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"I would like to work on an XYZ fantastic project I have in my mind in
ABC programming language, but I do not feel that I have the knowledge required or that I
am anywhere near experienced enough to perform."
Do you think someone should work on a project (even if it is a small, personal one) and try to acquire skills and knowledge in the process, or he should not even start working on a project unless he has at least a respectable level of experience and knowledge?
No one is born with every thing. Whatever we learn is through our experience. If you keep on thinking that "i cannot do it", well, then you will never do it. If you have stackoverflow , google and confidence in yourself, go ahead. You can get help on anything from here. You will only learn something when you do a real project. Make mistakes and learn from them.
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People say practicing and keeping up to date with the latest technologies makes you a good developer, but what are some lesser known practices you all can suggest for someone currently doing a Bachelor's degree in Software Engineering and wants to stand out in their Master's application abroad?
I've started writing technical articles on Medium, finding open source contributions (which I rarely find for beginner level and any suggestions would be appreciated) and doing coding challenges online. Is there anything else I should be focusing on?
you've got plenty of time. keep learning technologies you're interested in, do projects and develop your skills along the way I'd say. Participate in competitions if you can. Open source contribution is a pretty good step
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I understand that Chisel is a HDL/HCL language to overcome some of Verilog/SystemVerilog restrictions by using higher abstraction level.
And it is open source as well.
It might be a bit naive and presumptuous, but still I would like to ask.
My question is that why do so many similar efforts are working in parallel, e.g. Blusspec, spinalHDL, Pyha etc?
I mean, is there any reason why the development community may not choose one of these and concentrate efforts on stabilizing or enhancing one of these.
That's exactly what is happening now, it just takes a while to choose.
Although the past does not show that the best technology wins, let us hope it does this time.
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I am involved in a project which is meant to eventually become open-source and have a code contributor community. Is there any "right" way of doing this and what should/can I expect?
Thanks
There's a pretty good book on this topic, Producing Open Source Software by Karl Fogel, which is available for free online or in dead tree form if you prefer to read it that way. It would be hard to expand much on it in a single answer. Every project will, of course, be different, so I'd recommend reading that book, and then asking more specific questions about your particular project; answers will depend on the language and platform you use, how active an open source community there already is in your area, what your business model is, and many other factors.
I would recommand using Github or Google Project Hosting (subversion/mercurial), and of course use social media network to promote the project helps too.
You can start something like this - http://wxwidgets.org/develop/
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I was browsing through Mirosoft training website and found that they offer quite a bunch of online courses. Does anyone have any experience with these?
Having been forced to complete some of these dreadful E-learnings, I can tell you that they are boring. They do a very good job of blasting you in the face with all the theoretical knowledge, but they do a poor job of preparing you for the code you will see in the real world.
These are useful in discovering the way that someone in marketing in Microsoft imagines that their software / APIs will be used; they have little to no value in the real world.
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Upon reading a blog post about a minimalist story-generating python program, I was asking myself - and you - which are the most successful attempts at such programs. I remember seeing something using generating grammars, for instance. And which are the best attempts that, like this one, are extremely compact, either self-contained or able to read, say, the Web or an independent textual corpus (but not simply a file with a large number of story chunks)?
Search for Talespin for some famous ground breaking work. (Example: Micro-Talespin in Common Lisp by Warren Sack.)
I actually like Turner's "Minstrel: A Computer Model of Creativity and Storytelling" better :
ftp://ftp.cs.ucla.edu/tech-report/1992-reports/920057.pdf
Talespin is, in my opinion, blind in it's algorithm to everything but planning. So the author goals are given very little consideration (if at all). Minstrel is better that way.