m_ke

66 ms·

751.
by m_ke 7y ago
"Startups" of this type are for rich kids. Most people don't invest in ideas and expect a working product with traction before they put any money in, so if you don't have rich parents your best bet is to get a job and bu
752.
by m_ke 7y ago
I'm convinced their goal is to leverage GitHub to win the cloud wars and that they'll keep porting all of their Azure products onto it until GitHub is the cloud provider. I bet we'll see a click to deploy button on github for
753.
by m_ke 7y ago
I don't know how any sane person could have picked to use it in their project over MobX.
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by m_ke 7y ago
Because it's actually a pretty big deal for the (python) data science ecosystem.
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EPython: Extending Python into the Future with Type Annotations(youtube.com)
2 points by m_ke 7y ago|0 comments
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by m_ke 7y ago
Andrew already has a PR to fix this issue https://github.com/django/django/pull/12172
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by m_ke 7y ago
Same question for Delaware corp based in NYC.
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by m_ke 7y ago
Django ORM is not async so using it with FastAPI would block the event loop. I guess you could wrap the calls in sync_to_async from asgiref but it wouldn't be pretty. Another option is using something like Tom Christie's orm proje
759.
by m_ke 7y ago
Andrew gave a recent talk about it here https://www.youtube.com/watch?v=d9BAUBEyFgM middleware is a part of it, then there's the ORM, caching and anything else that does IO.
760.
by m_ke 7y ago
Thanks for the reply and all of the great work. Using django in a notebook is definitely not a typical use case so I wouldn't worry about it too much. Ideally the ORM would be a standalone package that could be used outside of the web
761.
by m_ke 7y ago
It didn't, async await is just syntactic sugar on top of coroutines/futures. You can define an sync function and get a coroutine back if you call it without await. It's still kind of a mess though because you have two univers
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by m_ke 7y ago
I think it really comes down to the type of project that you're working on. For data science / machine learning projects python is a much better choice and that spills over to django. REST APIs are also incredibly easy to throw to
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by m_ke 7y ago
I had a few endpoints that had to handle url parameters, query parameters, http headers and bodies which could either be json, form data or files, handling all of those options using type annotated parameters ended up being pretty messy and
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by m_ke 7y ago
Learning curve is super low. Main benefits are: 1. Performance, it's a wrapper on top of starlette/uvicorn, which brings the performance closer to nodejs ( https://www.techempower.com/benchmarks/#section=data-r
765.
by m_ke 7y ago
Was really excited to upgrade but the async safety check makes the ORM unusable in a Jupyter Notebook. https://stackoverflow.com/questions/59119396/how-to-use-djan... https://forum.djangoproject.com&#x2
766.
by m_ke 7y ago
We're working on an app to make it easier using image recognition. It's called Bitesnap and is available on both Android and iOS. I'll probably open up an API to allow you to query your own data soon as well.
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by m_ke 7y ago
I mostly listened to software engineering radio, software engineering daily, talking machines, this week in machine learning, village global, freakonomics, econtalk and other similar tech and business shows. Most of the content in those sho
768.
by m_ke 7y ago
I mostly listened to tech podcasts like talking machines and econ/business stuff like freakonomics or village global. They all mostly follow an interview format where the guest is only there to promote something that they work on.
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by m_ke 7y ago
It will be interesting to see how all of these silly videos recorded by kids will be used against them in 10-20 years. Everything that they do and say will be indexed and accessible for blackmail.
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by m_ke 7y ago
90% of podcasts these days are just people rambling on without much thought while trying to sell you something. I have a feeling that most people who listen to podcasts do so for background noise, as a way inject some dopamine into their bo
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by m_ke 7y ago
If you're doing anything ML related your best bet is to niche down and solve a very narrow problem for a specific industry / market segment. Building generic AI tooling sounds great but rarely solves anyones problems.
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by m_ke 7y ago
Also working on some NLP and ML for parsing recipes at bite.ai so would love to chat as well. if you're using schema.org there's a nice filtered data dump from the common crawl available here: http://webdatacommons.org&
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by m_ke 7y ago
I'd love to see a new python type annotation based tool that could decorate a function and let you expose it as a CLI, a GUI or a REST/GraphQL API (maybe even an html form). pretty much a combination of Gooey, click and FastAPI
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by m_ke 7y ago
Someone needs to make a DB with first class support for dense feature vectors (embeddings) and approximate nearest neighbor search. These two features would allow you to do visual search, semantic text search, recommendations, learning to r
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by m_ke 7y ago
This was posted earlier today https://news.ycombinator.com/item?id=20984000
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by m_ke 7y ago
The product is still taking up their limited shelf space so it's in their best interest to see it get moved. Amazon made their business on the long tail of products that rarely get bought but in aggregate add up to a large portion of t
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by m_ke 7y ago
Supermarkets purchase the inventory from suppliers so they have an incentive to move everything that's in their stores. It costs amazon nothing to host 3rd party inventory so they get to prioritize whatever maximizes their profits, inc
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by m_ke 7y ago
Even before the IPO you have VC firms raising billion dollar funds from pension funds and endowments to pump up their donkeys. A down round doesn't really matter when you're taking a 2.5% management fee on billions of dollars.
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by m_ke 7y ago
Unfortunately most of the companies in this generation of "unicorns" are being pumped and dumped by VCs. This idea that you can buy your way to a monopoly, get large market share like Amazon and Google,then figure out how to profi
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by m_ke 7y ago
He always claims it's for "healthy habits" but we all know that it's mostly used for gaming, social media and marketing products. It's equivalent to Juul claiming that they're selling a product to treat smoking

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