Hey Anthony,

I was not there, but judging by the slices, this should have been a very nice tutorial.

Some remarks:

- In slide 19, you state that, if data comes from datasets with the 'numpy' flavor, they can be accessed in a numpy-like fashion. In fact, you should be able to access data this way for any flavor.

- In the same slide 19, you mention that data accessed this way is 'memory mapped'. I'm not swure why you are using this expression, but memory mapped files are normally a way for the operating system to load data in a lazy way (on-demand). It is very similar to what you are describing there, but how both systems work is not quite the same. In a truly 'memory mapped' system, the mapping is done at the operating system level. In your example, it has been PyTables who has done the job, without any help from the operating system's 'memory mapping' capability. But probably you already explained this to the audience.

- In slice 46, you seem to suggest that 'out-of-core' would be a similar concept to 'in-kernel', but it is not. When I introduced the 'in-kernel' concept in PyTables I meant something like a computation that is made at C-level (i.e. in the computational kernel, that is, numexpr). It is true that the way to evaluate out-of-core computations is via 'in-kernel', but you can also do in-kernel operations with in-memory data (like in 'in-kernel' selections).

- And finally, I don't see your name anywhere in slide 72. Why is so?? Come on, don't be shy! :)


At any rate, I have found most of the material to be of very high quality. Thanks for the effort!

Francesc


On 7/17/12 7:46 AM, Anthony Scopatz wrote:
Hello PyTables,

I'd like to present the tutorial I gave at SciPy 2012 this afternoon. There were 50+ people in attendance! My slides are attached and you can find the repository with all of my exercises at [1]. This is released under CC BY-SA, so feel free to poach as needed. I'll be sure to let you know when the video goes up. I think that we definitely had some PyTables / HDF5 converts today.

I should also note that Antonio put out the v2.4-rc /during/ my tutorial ;0.

Enjoy data!
Anthony

1. https://github.com/scopatz/scipy2012/tree/master/hdf5


--
Francesc Alted

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