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I'm a recent grad with a CSS degree and I never had a chance to take a course on distributed systems, but have progressively become interested in the topic. I would love to dive into the subject head-first in hopes of beginning my career as a software developer in that field. I've taken an Operating Systems course and have knowledge of multithreaded programming, along with elementary knowledge of distributed systems concepts, but that's about as close as I got to the subject, which isn't close at all.
Does anyone know a good place to start learning about the subject for someone with a CSS degree?
Do I really need a strong background in distributed systems specifically to get an entry-level job or do you think there are companies willing to hire people with strong programming skills but not necessarily strong knowledge of distributed systems?
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I've been fiddling around with wiki api and stack exchange queries and thought it would be interesting to create a hierarchy map or a weighted concept (undirected) map for a programming language. Thought it would create a useful generic graph layer that could possibly help people to learn a programming language faster. I haven't really thought of the details of this project yet but I need guidance as to where to start. Can anyone direct me to a good resource or an idea where I can build off of?
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I'm newbie to erlang. I'm curious about the design of Open Telecom Platform. Is there a design document of OTP itself or pictorial representation of the implementation of OTP in erlang. I tried googling and browsing official docs but all I could get was the architecture of OTP based app, but, couldn't find architectural structure of OTP itself.
Any help is appreciated.
There is thesis Making reliable distributed systems in the presence of software errors written by Joe Armstrong. The work contains fundamentals of which is OTP based on and there is also a very simplified implementation of basic OTP modules.
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Does anyone know of any courses etc for teaching people how to learn how to apply technical analysis and trading mechanics to the development of an automated trading algorithm?
I'm a regular at Quantopian, and attended the most recent Quantcon. They had some seminars, but largely it's a huge topic (like learning "surgery") because of the multiple disciplines involved.
Different languages, different levels of profeciency with those languages, different time frames, different securities, and a general air of secrecy where no one wants to share strategies.
For a programmer, I'd focus on API integrations (if you need that, some strategies run once a month then you punch in your trades manually). For a noob-programmer, I'd focus on programming skills in C#.
Sorry for being so broad, but like I said it's a huge topic. There's miles between a long gamma hedge fund doing managed futures and an HFT with custom hardware chips.
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I was curious if anyone knew of something like this flowchart but for Computer Vision tasks? Specifically for OpenCV would be most ideal.
Or any references with best practices, and common patterns for Computer Vision problems?
That's a monumental task. The best I could find is from this article and it's a little bit old:
Maybe it's a good time to commit to FlexCV on Kickstarter.com, a GUI for OpenCV that allows you to create complex algorithms in a matter of minutes by connecting graphical elements together. It's an alternative for Adaptive Vision, but purely based on OpenCV features.
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I would like to know any prices you have heard of for one-to-one conversion projects from Cobol code to a modern language. We are talking about programs with several hundred thousand lines of code.
I imagine it would be very difficult to accurately cost a conversion of this nature. Apart from the code, and understanding the business processes, you would also have to factor in changes for the new environment, running batch programs, print spooling, etc.
Instead of converting, have you checked out the possibility of changing the COBOL environment, i.e. running under .NET or JVM.
And COBOL is a modern language :-)