Another story from a fellow hacker with a backyard goat - It actually starts in a very subtle way. Goats have different tastes and moods, and it's not like they eat everything right away unless the density of a goat per backyard m2 is too high. I started giving mine some free "roaming" time with the chickens every day before the sunset. It looked very innocent - first few days she ate just some weeds, nettle and some low hanging branches of pear trees. No worries, I was planning to cut those anyways. After few weeks of not paying that much attention in the evenings, bottom third of all our ~12 trees were gone, she got into salads, potatoes, zucchini, pumpkins, peppers and cucumbers, all nettle was done, and she started checking out tomatoes (which seemed that she is really really not into at first). I am building a new goat house with it's own separate "backyard" with weeds that she won't be able to escape. :)
I suspect you may be falling to overconfidence there.
Also, single goat? That's tough, I've done it by running the goat with a pack of dogs and treating it as a dog, but witha lone goat, who doesn't feel they have herd, keeping them happy is difficult.
You're right. I am aware of this, and we're planning to get one more goat and also a dog. Right now, the goat seems to be pretty happy roaming around the backyard with all the chickens. It even waits with them while they lay eggs, etc. Pretty cool. But sure, you're right :)
Do you mean the goat is eating the tomato fruit, or the tomato leaves?
The latter are toxic to (AIUI) all monogastrics, same as potatoes and other Solanum family plants - you may want to reign that behaviour in, assuming the animals are still alive.
I am aware of this and I was monitoring the behavior when she started approaching that part of the backyard. The goat is somewhat pretty smart because it does not touch the leaves at all. Just the fruits.
> Ruminants [...] are able to acquire nutrients from plant-based food by fermenting it in a specialized stomach prior to digestion [...] The word "ruminant" comes from the Latin ruminare, which means "to chew over again".
FYI, we were letting our goats and chickens roam at the same time, but hanging out with the goats and it was fine... until the goats figured out how to squeeze into the chicken run and gobble up the chicken feed.
Apparently they find it super tasty, but it's not vegetarian, so they shouldn't eat it. The chickens get into much less trouble and can roam mostly unsupervised; but we've got a lot of aerial preditors to watch out for.
When I was a child we had pigs and chickens next to each other. The chickens started sleeping atop the resting pig since it was warm. It was cute until the pig started devouring the chickens!
1. You can create a Custom environment by writing a Dockerfile with all the libraries you need to install and everytime you're in a need to re-use a similar functionality (e.g. convert yet another book to mobi), you can just fire it up and all will be preinstalled.
https://docs.deepnote.com/environment/custom-environments
2. You can turn any notebook to a blogpost right away and publish within Deepnote directly.
Wait this is a notebook similar to pythons' notebook but it's a docker environment where I can install a lot of stuff I want and then do even more stuff? Am i getting this right?
It's like a shell to a vm but in a notebook format that you can then use to blog?
what would be advantages to going to Deepnote from regular Jupyter notebooks based workflow?
Let's assume someone who has been working with Jupyter notebooks(mostly Python based) for a long time.
Are Deepnote notebooks exportable?
The big worry is that you guys decide to pivot or radically change your pricing model and there is no offramp.
By comparison I don't mind using Google Colab. If Google Colab decides to shutdown or 100x their price I can take my .ipynb files and use them on my local littlest JupyterHub instance.
Deepnote internally supports .ipynb format and you can always export the Deepnote notebook to .ipynb similarly as you'd in Colab.
In general the main selling points are live collaboration (you can work on a notebook with you team as you'd do on a google doc), and integrations (you can plug-in your snowflake db, or s3 bucket or whatever, and have it connected for any further analysis, or a long-term training, etc.
For many non-software-developer data scientists, it's also easier to work in a cloud environment compared to installing stuff locally, and to version their notebooks in Deepnote instead of git. But this really depends on the particular workflow that one has.
I can absolutely see a need for collaboration tool.
Collaboration on regular Jupyter is a pain. I create a shared folder for coworkers and well read/write permissions* are not fun.
I miss how LS was much more granular in allowing specific connections. In Lulu when I approve an app, it's all app's connections by default, unless I am creative with a regex to capture proper connections. That's a major downside compared to LS. Or am I missing something?
I can see the promise of it, but getting there is so cumbersome. In our implementation it's supposed to provide a level playing field between devs working on a react app and devs working on internal sites that are django template powered. In a strict query sense, if you roll it with DRF auth and use an auth token in every query, it's very flexible for us.
But even things like partial mutations are fuzzy. The auth packages for it are immature, the integrations with channels is immature.
AngularJS is dead. Angular continues. As a non-user, the impression I got on the release of Angular 2 was roughly “we’re making a new product that shares some similarities with AngularJS, and we’ll continue to maintain both indefinitely, but all active development will be on this new product that we’ve decided to name ‘Angular’ just to confuse everyone”.
What would be even cooler is some kind of analysis of what jupyter notebooks usually contain, how big they are, what python libraries they use, what plotting library they use, etc.
