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====== Julia: The future of scientific computing====== | ====== Julia: The future of scientific computing====== | ||
- | This talk is about the new scientific computing langauge, Julia. It's presented as a series of Julia notebooks, which you can view online as HTML via the following links. Or you run them interactively on your own computer by downloading | + | This talk is about the new scientific computing langauge, Julia. It's presented as a series of Julia notebooks, which you can view online as HTML via the following links. |
- | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-math753/1-introduction.ipynb|Introduction]] | + | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-2017/1-introduction.ipynb|Introduction]] |
- | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-math753/2-numeric-like-matlab.ipynb|Numerical focus like Matlab]] | + | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-2017/2-numeric-like-matlab.ipynb|Numerical focus like Matlab]] |
- | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-math753/3-modern-dynamic.ipynb|Modern and dynamic like Python]] | + | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-2017/3-modern-dynamic.ipynb|Modern and dynamic like Python]] |
- | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-math753/4-fast-as-C.ipynb|Roughly as fast as C]] | + | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-2017/4-fast-as-C.ipynb|Roughly as fast as C]] |
- | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-math753/5-kuramoto-sivashinky.ipynb|Test case: the Kuramoto-Sivashinksy equation]] | + | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-2017/5-kuramoto-sivashinsky.ipynb|Test case: the Kuramoto-Sivashinksy equation]] |
- | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-math753/6-conclusions.ipynb|Conclusions]] | + | * [[http://nbviewer.jupyter.org/url/www.channelflow.org/gibson/talks/kitp-2017/6-conclusions.ipynb|Conclusions]] |
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+ | You can also download the notebook files and run them interactively using a Julia compute engine. To do this, either install Julia on your computer or log on to [[http://www.juliabox.com]], and then start the notebook from the Julia prompt. | ||
+ | |||
+ | * [[gibson:teaching:fall-2016:math753:installing-julia | Installing Julia]] | ||
+ | * [[gibson:teaching:fall-2016:math753:julia-notebooks | Starting a Julia notebook]] | ||
+ | |||
+ | Or sit back on the couch and watch the [[http://online.kitp.ucsb.edu/online/transturb17/gibson/video |the video from KITP]]! |