After trying to learn a few different languages the best cycle for me seems to be, remember the word in anki, then in more controlled real word setting like a class or language exchange try to use that word in conversation. If you're not willing to do that last step, I wouldn't even bother with anki if you're using it for languages
I've been there, it's a pain in the ass to get to. Took an overnight bus from Fitz Roy to Los Antiguos, had to walk a few miles across the border, got a taxi on the Chilean side to Chile Chico, stayed overnight because there were no more buses. Found some random bus from Chile Chico to Puerto Rio Tranquilo, the bus information on the internet was not accurate.
Was it worth it? Yes, absolutely beautiful, not touristy at all, met a couple in there 70s who had driven through Africa, which included the DRC. Mount Fitz Roy, Chaletan, although beautiful are too touristy. Everyone speaks english, they accept euro/usd, doesn't feel like you're actually in Argentina.
It's easier if you come from the Chilean side. There are buses coming directly from Coyhaique to Puerto Río Tranquilo, and there are flights from Santiago or Puerto Montt to Coyhaique (Balmaceda airport).
However, it is true that in general it is not an easy area to travel through (and that's part of what makes it raw and unique). If you don't have a car, hitchhiking can be a lot more reliable and faster and the local buses between small towns.
> I've been there, it's a pain in the ass to get to
I guess the easy version might be Carrara, Tuscany where marble has been mined for millenia. You can drive around the hills above the city on roads carved into and through the marble accompanied by dusty trucks laden with giant blocks.
The performance is very dependent on how you plan to use the FS. I would recommend joining us on Slack so we can chat directly and see how you'd like to use it: https://infinit.sh/#slack
The format already supports larger than RAM data, but we don't yet have an API for creating those files or just extracting slices. That will come in the future.
Thanks for working on this. Really a great effort. Hope your guys can get good inspiration from projects like h5df, bcolz, pytables having the option of incrementally adding features and maintaining an open spec.
5/3/1 and deloading is an import concept not mentioned here. https://www.t-nation.com/workouts/531-how-to-build-pure-stre.... Post workout meal is also very important, 50% carbs 50% protein and should be largest meal of day, if you were going to eat something bad this would be the best time to do it.
D3 is pretty ok with large datasets but I understand your point.
What Shiny does to get around this is natively 'evaluate' the plots on the backend, creating a rasterized PNG file. A similar approach could work for Pyxley (using matplotlib or Seaborn to render the plot, and then sending that image file to the front end) but I fear with so much development time spent on d3 support such an approach would not be natively implemented.
>What Shiny does to get around this is natively 'evaluate' the plots on the backend, creating a rasterized PNG file
I don't think that's the case for D3 charts, because that would kill the interactivity that is so great about D3. I use RCharts to inject D3 into my Shiny applications, and have ran into into performance issues with just a couple hundred data points. I think this is because all heavy lifting is done by the client (browser), not the server.
Unless you have a screen with 50,000 pixels you would need to downsample the data anyway, wouldn't you normally do that instead of handling a visualization library the full data set?
You actually do have a screen with 50k pixels. Many more than that.
A continuous heat map over two dimensions, at 500x500 pixels, is 250,000 pixels. Of course, to generate the heat map, you have to aggregate (binning on two dimensions), but you don't have to downsample.
