David, You may have seen the JuliaCon announcement, and there is a hack day right after JuliaCon. This would be the best place to get the tutorial sorted out. I believe Leah will also be there, and she has a fair amount of experience doing Julia tutorials.
-viral On Tuesday, May 6, 2014 11:01:15 PM UTC+5:30, David P. Sanders wrote: > > Hi, > > This is an announcement about a Julia tutorial for the SciPy 2014 meeting > that I proposed, and that was recently accepted and announced. The tutorial > will be on July 7th in Austin, and will then be freely available in video > format. The meeting webpage is https://conference.scipy.org/scipy2014/ > > SciPy is a meeting on scientific computing with Python, where Jeff and > Stefan gave talks on julia the last 2 years (available online). > I was not really expecting the tutorial to be accepted, but fortunately > there are very forward-looking people in the Python community! > > The tutorial will last 4 hours and will be introductory, aimed at people > coming from the SciPy community, i.e. versed in the use of numpy, scipy etc. > > My motivations for proposing the tutorial were twofold: > (i) Firstly selfish, to force myself to learn Julia in detail; > (ii) Secondly, to write an introductory tutorial, along the lines of those > which exist in Python, which I feel is something that is currently lacking > in the community, and which will make the entry point much easier for new > users. > > I have 6 years' experience teaching scientific computing with Ptyhon > > I have started to write the tutorial (although it is not yet available > online), and would very much appreciate your input on the contents. Below > is the outline I proposed (in Markdown), but which I have now realised is > missing pieces. > > I am also looking for somewhere in the US to spend the week between > Juliacon (if it happens...!) and SciPy, to work on the tutorial and discuss > and hack on Julia. Any offers?! I can (probably) cover the expenses. > > Best, > David. > > > # Proposal for Julia tutorial at SciPy 2014 > > I: Julia for users > > - 0:00 -- 0:20 Introduction > - Why Julia? Interactive, but compiled > - Installation > - Help: documentation and mailing lists > - Interactivity: REPL and IJulia > > - 0:20 -- 0:40 Basic Julia > - Variables > - Control structures: if, while > - Ranges > - for > - Dictionaries > > - 0:40 -- 1:00 Scientific computing > - Vectors and matrices: Array > - Array comprehensions > - Random numbers > - Matlab-type notation > > - 1:00 -- 1:15 BREAK > > - 1:15 -- 1:35 Functions > - Functions and methods > - Multiple dispatch > > - 1:35 -- 1:55 User-defined types > - Defining types > - Parametric types > > - 1:55 -- 2:25 Packages > - using, include, require, import > - Standard library > - Statistics > - DataStructures > - Graphics: PyPlot, GadFly > - Profiling > > - 2:25 -- 2:40 BREAK > > II: Developing in Julia > > - 2:40 -- 3:00 > > - Users are already developers > - Modules > > - 3:00 -- 3:20 > - Metaprogramming > - Macros > > - 3:20 -- 3:40 > - Interfacing with Python: the PyCall package > > - 3:40 -- 4:00 > - Interfacing with C: ccall > > > > > >
