To quickly follow up on the training materials comment, David Sander's tutorial that he delivered at SciPi is available here: https://github.com/dpsanders/scipy_2014_julia . David is also doing a tutorial at JuliaCon I believe.
I have used something similar for a couple of sessions, the material is available here: https://github.com/aviks/learn-julia . Feel free to reuse. Regards - Avik On Monday, 11 May 2015 11:48:52 UTC+1, Viral Shah wrote: > > That’s fantastic to hear, and thanks for the good wishes. We are using > much of the already public training material for the most part right now, > but we expect to refine it with every engagement, and put out something new > as soon as we have something substantially better. > > -viral > > > > > On 10-May-2015, at 4:42 pm, Ken B <ken.bas...@gmail.com <javascript:>> > wrote: > > > > I was able to "sell" Julia recently for a small 2,5 month consultancy > project at a research institute. The main difficulty in convincing the > client was the uncertain long term support for the language, so I'm very > happy to see this Julia Computing LLC up and running. > > > > I agree with Scott that a list of organisations using Julia would be > very valuable for further promotion. Viral, would that be possible? > > > > Eric, I put the project online under an MIT license. The idea was that > the more people use it, the more valuable it would become as it might > receive issues and fixes for free. This is of course very much project > dependent. > > > > Also, I've just started at a University where I plan to promote Julia, > so I hope that Julia Computing LLC will share their training material. > > > > And finally, best of luck with the new company! > > > > Best regards, Ken > > > > On Sunday, 10 May 2015 02:33:58 UTC+2, Eric Forgy wrote: > > I think this is great. Our startup has similar issues. We want to do > innovative work, but that work needs funding, so we also do some > consulting/training to pay the R&D bills. It can be a challenge to find the > right balance though, so beware :) > > > > Given the position of Julia Computing, another potential source of > revenue for you is helping companies (like mine) with recruiting. If you > kept a database of Julia developers looking for employment opportunities, > firms (like mine) would be willing to pay up to 3 months salary for > "finding fees". Speaking of which, do you know anyone in Hong Kong? :) > > > > One question I have though is about how to balance open source versus > proprietary development. There are currently Julia packages we're using > that could use some professional development to clean up and make > production worthy. If we pay developers to clean up an existing package, it > feels weird to just give the work we paid for away. Any thoughts on how I > should think about this? I probably just need some education and am open to > suggestions. It would be interesting if Github issues could be given a $ > value, i.e. "resolve this issue and receive $x in fees". This could be an > effective way to prioritize :) > > > > On Sunday, May 10, 2015 at 4:20:15 AM UTC+8, Viral Shah wrote: > > Hello all, > > > > You may have seen today’s Hacker News story about Julia Computing: > https://news.ycombinator.com/item?id=9516298 > > > > As you all know, we are committed to Julia being high quality and open > source. > > > > The existence of Julia Computing was discussed a year ago at JuliaCon > 2014, though we recognize that not everyone is aware. We set up Julia > Computing to assist those who asked for help building Julia applications > and deploying Julia in production. We want Julia to be widely adopted by > the open source community, for research in academia, and for production > software in companies. Julia Computing provides support, consulting, and > training for customers, in order to help them build and deploy Julia > applications. > > > > We are committed to all the three organizations that focus on different > users and use cases of Julia: > > > > 1. The open source Julia project is housed at the NumFocus Foundation. > http://numfocus.org/projects/ > > 2. Research on various aspects of Julia is anchored in Alan’s group at > MIT. http://www-math.mit.edu/~edelman/research.php > > 3. Julia Computing works with customers who are building Julia > applications. http://www.juliacomputing.com/ > > > > Our customers make Julia Computing self-funded. We are grateful that > they have created full time opportunities for us to follow our passions. > Open source development will never cease. > > > > You may have questions. Please shoot them here. We will respond back > with a detailed blog post. > > > > -viral > > > >
