the article complains about ux, not capabilities. In this case it is complaining about the defaults.
385 karma · joined February 3, 2011
You are free to switch language but you still need to understand it.
This is different from Pascal strings.
This is a very unfortunate joke: Python has list (and generator) comprehension expression for a long time (2.3?) which are similar to LINQ. At some point in the history many languages stole useful expressions from other paradigms.
Let’s joke on BASIC, it always works.
From the article:
> As luck would have it, the Arrow spec was also finally making progress with adding the long anticipated German Style string types to the specification. Which, spoiler alert, is the type we implemented.
If you find JSON serialization/deserialization a bottleneck, another interesting library (with much less features) for Python is msgspec: https://github.com/jcrist/msgspec
> Deploy keys only grant access to a single repository. More complex projects may have many repositories to pull to the same server.
Besides this, operating Kafka never required much effort a part when we needed to re-balance partitions across brokers. Earlier versions of Kafka required to handle it with some external tools to avoid network congestions, but I think this is part of the past now.
On the other hand, Kafka still needs to be used carefully, especially you need to plan topics/partitions/replications/retention but that really depends by the application needs.
I guess nowadays, as the py2 compatibility is a thing of the past, most programs would crash when using that interpreter version.
About typings: I agree the eco-system is not mature enough, especially for some frameworks such as Django, but the effort is still valuable and in many cases the static analysis provided by mypy is more useful than not using it at all. So I would suggest to try do your best to make it work.
FB Audience Network is already in Beta for Mobile Web [1], they might investigate to expand this business for Desktop Web too.
[1] https://developers.facebook.com/docs/audience-network/mobile...
- https://blogs.dropbox.com/tech/2012/07/plop-low-overhead-pro...
Even if I'm amazed by the performance of Postgres for this particular task (considering also that is a relatively new feature), I don't think performance is the reason why people are using NoSQL dbs. The problem that NoSQL dbs are helping with is scaling. I don't see this as a priority for an RDBMS such as Postgres. Take for instance MongoDB (just because it was named by many of the other comments here, but I guess the same apply to Couch or others): it's relatively simple to deploy a cluster with automatic sharding, replica, failover, etc.. because these are all builtin features.
Very useful.
By the way is worth noticing that you won't probably be able to attach the interactive console to a running web server as the output is usually handled by the supervisor process, at least I wasn't able to do that in my first tentative and the memory dump was good enough for me.
Check this sample to dump the memory out of a running process: http://pyrasite.readthedocs.org/en/latest/Payloads.html#dump...
Beginners usually think Python strong indentation is a weakness of the language. I actually find C++ freedom being more error prone:
if (a < b);
a = b
I'm actually pretty impressed how this bug was not caught before. The compiler warning is just one thing that came to my mind but test coverage should have been the strongest hint. A linter could have also make the thing easier for a code review. Probably these parts of the code should have stricter coding guideline.
It's a bit confusing for me, it looks like they are collecting visited urls as they are not considered personal identifying information.
I've just learned that with the spellcheck feature they are basically receiving all the text I write on the Internet to their servers.
By the way are we really discussing about the privacy policy of a company that sent its data to NSA? I'm not condemning them, still we should be aware of this and never forget.
about the search and relevance they are updated quite fast, sometimes with big code replacement. This means that even if powerset tech was used as a start (and I do think it was not, it was possibly adapted and integrated -- i believe the base code was msn/live) it is now changed in most of its pieces.
> Why has Microsoft still not fixed this?
Is there a way they can fix it without breaking backward compatibility?
I disagree in so many ways: 1. complex algorithms are usually very short in practice (e.g. dijkstra's shortest path or edit distance are the firsts that come to mind) 2. ML is not just applying ML algorithms: you have to evaluate your results, experiment with features, visualize data, think about what you can exploit and discover patterns that can improve your models. 3. If you know the properties of the algorithms you are using then you can have some insights that might help you on improving your results drastically. It's very easy to apply the right algorithms with the wrong normalizations and still get decent results in some tests.
Few months ago I wrote some sample code to show how to implement a simple min-max based algorithm to play zero-sum game. It is a very basic c4 player but it might be helpful for someone who wants to learn this stuff. The code is on github: https://github.com/duilio/c4