Had similar struggles as well. Then after few experiments with plain paper (tried A4, B6, A5 - all landscape), I switched to Midori Paper Pad, carrying it in a leather pouch. Using A5 on the go and A4 on my desk. All in landscape orientation, like slides. My output is mostly diagrams/schemas and tables, very little prose.
Advantages so far: high quality per that works with fountain pen. No fear of ruining whole notebook with an ugly note or a drawing. I can carry only sheets that are relevant to the problem I am solving right now. I can lay out the sheets in front of me to get a bigger picture. I can throw away the bad ones. It is easier to scan (using iPhone scan to PDF function).
Can confirm, MUJI notebooks are of a decent quality and they can handle fountain pens as well.
In addition to that, I gradually switched to their 0.38 pens of different colors. With fountain pen it was more stylish but impractical for multiple semantic(*) colours. With cheap, light, yet nice quality pens of different colours I can not only carry multiple ones, but have the same set at multiple places.
(Dark blue is body text/drawing, light blue is comment/secondary annotation, orange is action/process/message passing, green is data/metadata flow, …)
In Czechia and Slovakia we have mapy.cz which gives you more detailed map for walking/hiking, including contour lines. See [^1] for example.
The coloured trails you can see at more detailed zoom levels, are part of the hiking trail system. The outdoor signage even has a national technical norm [^2] (in Slovak, but has some terminology translated int to English and German).
This is just OpenStreetMap with another frontend on top, you can see this by going to the area[1] and going to the right, selecting layers and looking at the CyclOSM one.
Also, a bit lame that on mapy.cz, you have to click on the "and others" to actually see the OpenStreetMap credit.
Surely there's nothing wrong with using OSM as one of your primary map data sources? As far as I know, Mapy.cz uses several sources in the Czechoslovak territory, although abroad, perhaps quite a bit fewer of them are being used.
Author here. I admit, it has been more than a year since I made a significant contribution. It kind of correlates with change of my job – since I started to work with my current employer I didn't have almost any time to work on neither of Data Brewery projects directly. All I have is full notebook of new ideas and mailbox of unanswered feature requests and bug reports. It makes me sad, but honestly I don't know how to proceed.
I really enjoyed working on Data Brewery and I eventually will resume my work as there is a lot to do. It is just put aside on the back burner. In the meantime I might only hope that someone would volunteer to at least handle bug fixes. I'm open to grant access to the repositories.
Any suggestion how to prevent open-source project from dying is welcome.
I am interested to find out what volumes of data each of these solutions, Cubes and Bubbles, have been tested against?
I work with enterprise tools to create ETL and OLAP solutions daily and really like what I see here but I am concerned with the performance since it is all done using Python and performance is not Python's strength.
As an interested user of your project I would be more than happy to see a sign/text on the github project page that this project is temporarily on hold/abandoned, I'm a little annoyed every time I find an interesting project with no commits in the past year and other users asking the question if the project is dead in the "issues" section but still get no answer. I know it's open source and I know you do this in your free time, but still, just let me know.
And if your looking for a maintainer to take over then also state this on your page, unfortunately the outcome and success of a new project owner will not be in your hands. It's like your child growing up. :)
Author here. They are very independent. In short: Cubes is OLAP framework for abstracting aggregate queries on top of a datastore, mostly through SQL. You define a so called multi-dimensional model – how the analysts see the world, and cubes knows how to project it to underlying data structures, preferably star or snowflake table schemas.
Bubbles was meant to be data integration library (also known as ETL) – get data from multiple sources, transform them and produce tables that are more suitable for further analysis or reporting.
I don't think we can equate complexity of a tropical thunderstorm to the complexity as described in the article. The discussed complexity arises from local connections (be it persistent bonds or repeated interactions) between entities. While interactions in the thunderstorm might seem "complex" to our mind, they are not "complex" from the point of view of "complex systems", they are rather "complicated".
Moreover thunderstorm network (if we consider the interactions of particles in the thunderstorm) is very transient. No feedback loops emerge in the system (to my understanding of thunderstorm). Also the system does not adapt to the surrounding environment through it's reconfiguration of internal connections. Thunderstorm lacks many properties of the complex systems discussed in the article.
A storm doesn't have feedback loops in brain-like interconnections. But in a quantic level there is thermodynamic activity re-adapting and re-shaping the system all the time. In any case, as Giulio Tononi would say, "it has zero integration." And it doesn't have consciousness, only energetic physico-chemical activity.
I agree with that view.
The important part is (a) that it does not have computation and (b) regardless of complexity, computation is not consciousness. Saying it and expecting it to "magically emerge from it" does not make that hypothesis any truer.
They are throwing darts in the dart and making it sound cool.
But, okay, I'll be nice and not troll the effort of making this subject cool and let's not put theory against theory because is not productive.
What about seeing something testable?
Take a Paramecium.
It does not have many neurons, so it doesn't have synapses but it still learns where the food is and reacts to anestesics as we do.
What about that?
That radical theory published there is not predicting the Paramecium, much less anything about the one in the Homo Sapiens Sapiens.
Bring me news on how quantum-biology is behaving down there and we might actually get somewhere.
My Note 3 works just fine with gloves on (there's a screen sensitivity mode intended just for that use-case)...and I'm not talking about using it with the pen.
Touchscreen tech has advanced quite a bit since the old days.
The demos of the watch show a mixed use-case. The crown for some things, the screen to complete the task. So unless they're supporting similar screen tech as what Samsung is featuring now, the glove use-case doesn't matter.
There is one advantage in people mispronouncing your name though. In my experience, people within a group tend to converge towards one pronunciation or variation of your name. On a random encounter in public or out-of-the group environment, if someone is addressing you, you know which group he/she is from, based on the pronunciation he/she used.
Advantages so far: high quality per that works with fountain pen. No fear of ruining whole notebook with an ugly note or a drawing. I can carry only sheets that are relevant to the problem I am solving right now. I can lay out the sheets in front of me to get a bigger picture. I can throw away the bad ones. It is easier to scan (using iPhone scan to PDF function).
https://md.midori-japan.co.jp/en/products/mdpaper-pad/