d_rc

Get one from ebay. There is a bunch of sellers who are stocked.

Hehe, is anyone still using InVision? (honest interest)

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.

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 :)

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. :)

Deepnote recently introduced interactivity when you publish your notebook as well: https://docs.deepnote.com/collaboration/publishing-a-noteboo...

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.

Yeah, you got it right. You can even access the actual shell in the vm, not just the notebook environment.

Thanks for the nice tutorial OP.

Here's a public notebook in Deepnote if anyone wants to play around with the code or duplicate it: https://deepnote.com/project/Converting-Markdown-to-Epub-or-...

2 fun facts about Deepnote:

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.

Disclaimer: I'm a software engineer at Deepnote.

Here is the notebook code in Deepnote if anyone wants to play with it: https://deepnote.com/project/JupyterNotes-zXwE7yVJSLeJx4aNp3...

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?

Totally! We're trying to build a GraphQL API generator on top of Graphene and it's just ... well sad.

Angular being the latest addition there.. I agree, I wouldn't really say that 1.7 development being discontinued is a "death" of Angular. Really not.

The Similar notebooks at the end are pretty cool.

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.

siracusa stopped doing the reviews http://hypercritical.co/2015/04/15/os-x-reviewed