For example: https://www.youtube.com/watch?v=JvzvM9tf5s0
616 karma · joined May 31, 2018
For example: https://www.youtube.com/watch?v=JvzvM9tf5s0
I wouldn't be surprised if the US start to make the life of China sympathizers difficult in near future if China becomes more competitive.
Also PhDs tend to form their own opinion on things and be quite stubborn about it (that's how they got their degrees in the first place after all :), which explains why their hesitancy didn't change much.
Is it just me or the sentence also makes perfect sense if Tibet is replaced by Iraq/Afghanistan/Libya?
> Such ideas ("Tangping") are at odds with the Communist Party’s rhetoric. Its leader, Xi Jinping, likes the word “struggle”. In 2019 an official summary of a speech he gave to young officials included more than 50 mentions of it. Struggle is an art, he told them. “We must be good at struggle.”
Not if the deficit nation can pay off the debt using its own currency whose supply is also controlled by the same nation, no?
It would seem to me people sometimes don't want to bother figuring out what's the best way of doing X, therefore I feel it is still valuable for someone to do the research and productize his know-how on "the best way of doing X".
I guess if one is told (clearly) that "this is an ad" then it's probably fine?
About the US immigration centres --- I am not sure if those who suffered there would had come to those camps if they had knew what's happening in them, especially the children.
The expected reward is just one-week's pay --- you have to offer better than that with all the uncertainty ;)
What if the reward is potentially infinite amount of money? If the investigation proved our current understanding of physics wrong, that could lead to historic breakthroughs in natural science.
Better yet, we don't know what the odd is. It might only need 32 consecutive heads.
The thing with Python is that 'naive' Python code is already pretty close to 'unoptimised' Python code, so one can write naive Python code with numpy and still ends up with not-too-shabby performance, provided they chose an efficient algorithm, of course. In other words, there are not as many performance mistakes one can make with Python (perhaps because it can't get any worse). I imagine that's also why so many Python users who tried Julia were disappointed that direct translations of their Python program fail to perform as fast as advertised.
1. Can unoptimised Julia code run faster than unoptimised Python code (with numpy being used to do the heavy lifting)?
Let's say one is prototyping some algorithm so iteration speed is more relevant than running speed. Then one can choose either Julia or Python (with the help of numpy perhaps) and get an implementation in similar timeframes. So Julia won't necessarily be more attractive here.
Now if the prototype proved that running speed is very critical to the successful application of the algorithm, then it would mean the developer now has to optimise the hell out of it. One can either:
1. Optimise the Julia codebase, if Julia was used to prototype, following the many tips and tricks available (e.g. type stability, various macros, etc.).
2. Port the algorithm to C/C++, applying the many performance best practices that people have accumulated over the years.
So if the optimised C/C++ port is capable of being any faster than the optimised Julia code, then the rational choice would be to port the implementation using C/C++; it would also mean Python would have some advantage over Julia in the prototyping phase too due to its popularity. Otherwise I'd agree that using a single language to both do prototyping and production is the best.
I think what s/he meant to say is that Julia is not "magically" faster than other languages. The real questions are:
1. Can unoptimised Julia code run as fast as unoptimised c/c++ code? I think the linked benchmark suggests this is not really the case.
2. Can optimised Julia code run faster than comparably (i.e. requiring similar amount of effort and expertise) optimised c/c++ code? If not, then why use Julia?
Also, human have limited amount of attention --- if Telegram/Signal cannot make it to the critical mass soon then average users who had been convinced to try the alternatives might eventually revert back to WhatsApp because maintaining multiple chatting channels can be quite annoying at times, especially considering majority of their contacts might still be on WhatsApp and it is just easier to post there.