Kpourdeilami

12 ms·

61.
by Kpourdeilami 9y ago
Yes, that’s exactly what I meant. Thanks for clarifying it
62.
by Kpourdeilami 9y ago
I don’t think it actually tackles the issue of trust but rather it removes it all together. Originally it was made for irreversible micro transactions where the existence of a trusted middleman made it too expensive for them to be practical
63.
by Kpourdeilami 9y ago
Why would they not allow internal software send out analytics data? At this point it is common knowledge that Apple is working on a new version of OS X that will come out next year.
64.
by Kpourdeilami 9y ago
Anecdotal, but I have been walking to work for the past 2 months and it helps a lot. I get around 12km of walking and 2 hours of exercise out of it. It has helped a lot to balance my sleep as well since I'm usually too tired to stay up
65.
by Kpourdeilami 9y ago
> I've seen some customers of ours being quoted six and seven figure prices by their internal data science teams to essentially slurp and transform a handful of SQL tables. They don't wanna do it so they give a ridiculous estim
66.
by Kpourdeilami 9y ago
The businesses usually think they have a lot of data because they look it in terms of number of years of data but in practice their datasets are only a couple hundred megabyte large. Yet they setup Spark, Hadoop, and all of that stuff to &q
67.
by Kpourdeilami 9y ago
Just out of curiosity, if the API is already being built in Java, why not just build a single-page-app to utilize the API instead of Django? I'd assume the deployment and overhead of maintaining a single-page-app would be way lower tha
68.
by Kpourdeilami 9y ago
Hey! For convenience, mostly. We used to depend on Mixapanel for analytics and MongoDB was a good drop-in replacement with only 20-30 extra lines of code. I agree that Redshift would be a better choice for complicated queries afterwards but
69.
by Kpourdeilami 9y ago
NoSQL is the most useful when you're dealing with event data which aren't the main part of the application. We use MongoDB for analytics on our API endpoints because storing that kind of data in postgres will add unnecessary bloat
70.
by Kpourdeilami 9y ago
You can start with one server with postgres installed on it and when you need to scale to multiple application servers, you can run postgres on another server. For backing up postgres, all you have to do is setup a cron job that backs up th
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by Kpourdeilami 9y ago
The tooling and ecosystem around it are pretty much unrivalled
72.
by Kpourdeilami 9y ago
Another API specification that I really like is [CoreAPI]( http://www.coreapi.org/ ) . It works nicely with the django-rest-framework (both created by the same person) and has clients for python, javascript, and a command lin
73.
by Kpourdeilami 9y ago
Does anyone have experience using OpenFaaS on a large-scale project? I see a lot of hype around this project but I yet have to see someone using it in production
74.
by Kpourdeilami 9y ago
Terrene | Full-Stack Python Developer | Waterloo, ON, Canada | FULL TIME, INTERN, ONSITE We are building APIs for training, deployment, and optimization of deep learning neural networks. We're a small team (3 people) and we're loo
75.
by Kpourdeilami 9y ago
Something that I find missing is the ability to embed code snippets into other websites
76.
by Kpourdeilami 9y ago
I have been using the beta version of Github's Electron app for a while and hadn't suspected it might not be a native app. It feels very snappy and quick. On my laptop, it uses less than 80MB of RAM
77.
by Kpourdeilami 9y ago
+ is not a supported operand for dict. You can probably subclass dict and add the plus operand
78.
by Kpourdeilami 9y ago
They get overwritten by the value of the dictionary that came last. >>> dict1 = {"key1": 1, "key2": "hello", "key3": [1, 2, 3]} >>> dict2 = {key1": 1, "key2": &q
79.
by Kpourdeilami 9y ago
Unrelated to python 3.7, but they recently added this feature that you can add two dictionaries together in 3.5 by doing: new_dict = {**dict1, **dict2} It is so handy and nice
80.
by Kpourdeilami 9y ago
8mb is the local version of the code without gzip and minification. I just tested at the minified version and it is 2.5 megabytes
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by Kpourdeilami 9y ago
It is a gigantic SPA using Vue, VueMaterial, and D3. It has around ~300 components. I don't know if it would be possible to lazy load some of the components
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by Kpourdeilami 9y ago
I had used Mixpanel before in building apps and went with it for familiarity. I agree with you, it seems like building it server-side would be a better solution
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Ask HN: What do you use for front end?
2 points by Kpourdeilami 9y ago|5 comments
84.
by Kpourdeilami 9y ago
It's time-based. For example, if a request takes 1 second to process then the user will be charged 1000 * (millisecond price)
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Ask HN: Analytics for python web app
2 points by Kpourdeilami 9y ago|4 comments
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by Kpourdeilami 9y ago
I got this one[0] which comfortably fits my 15" MBP, chargers, display adaptors, umbrella, notebooks, cards, headphones, etc. and is very durable. Sometimes I walk with it for 10-15 kilometers and it is very comfortable to carry around
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by Kpourdeilami 9y ago
If you're planning to use this as a way to deploy your static website to S3, I highly recommend using Netlify[0] instead. I have configured it to automatically publish anything that I put on the `deploy` branch and it supports letsencr
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Ask HN: API gateway
2 points by Kpourdeilami 9y ago|1 comments
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by Kpourdeilami 9y ago
I've been working on something very similar to that. It allows you to connect a SQL database, S3 bucket, etc. then write a query for the data that you want to train the model on. It takes a couple minutes and then it'll expose the
90.
by Kpourdeilami 9y ago
The tooling around Github is a lot better

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