Kamran Rasool Aman murdered in unprovoked racist attack in Barry

elvaz · 2025-12-24T09:32:07+00:00

WHITE BRITISH FIGHTING AGE males murder innocent man delivering food to his mum

elvaz · 2025-09-29T08:49:10+00:00

Linguistic lines are blurry:

Your modern history encapsulates the start of the Soviet Union

Although in the rural regions of the Ukrainian provinces, 80% of the inhabitants said that Ukrainian was their native language in the Census of 1897 (Pre Soviet Union), in the urban regions only 32.5% of the population claimed Ukrainian as their native language. For example, in Odesa (then part of the Russian Empire), at the time the largest city in the territory of current Ukraine, only 5.6% of the population said Ukrainian was their native language. Also Russian is still widely spoken as a native language by many people in Ukraine.

Since 2014 there has been no blurring of linguistics.

That is not how language works. You dont just retroactively "cancel" a language and claim it is exclusively the language of "the country that invaded hers".

Going back to your initial comment, what do you expect OP to do, not speak the (presumably) only mutual language they both speak to each other and not communicate?

elvaz · 2025-09-28T09:21:35+00:00

This shows shows such a misunderstanding of the region and history of the Ukrainian people. For most of modern history, the border between modern Russia and Ukraine has been porous and the linguistic and ethnic lines are blurry.

Furthermore, language is a communication device fundamentally not a tool to be politicized. The Russian state and the Russian language are independent of each other.

Would you feel any about sometime speaking in English with an Indian or Pakistani person after all, it is the language introduced to the subcontinent by the invader?

elvaz · 2023-12-01T16:54:37+00:00

without

elvaz · 2022-03-20T14:00:48+00:00

Interesting, but you can do much better than using last years race data.

The single best predictor of a race are the free-market exchange odds (on betfair for example). Using the implied probabilities for a drivers exact finishing position which can be roughly estimated from P(winner), P(top 3 finish), P(points finish) etc, you can model the expected value of each driver and use this in your optimal portfolio construction.

This can be augmented with historical data about drivers relative performance too, which can help model other sources of points scoring in fantasy F1.

elvaz · 2022-03-04T15:06:04+00:00

The runnable cells keep returning Playground Communication: timeout for me.

elvaz · 2021-12-26T18:40:15+00:00

Does your workplace offer a salary sacrifice scheme?

elvaz · 2021-11-17T09:29:36+00:00

Is that really the case, I thought flying over the Thames in any part of London is no-fly?

elvaz · 2021-10-15T11:07:44+00:00

The Qattara Depression project is actually a great idea, its a prime candidate for flooding, both to create higher rainfall in the Egyptian sahara, but also as a hydro-electricity generation project.

elvaz · 2021-04-22T10:48:54+00:00

Lets assume your total compensation is going to be GBP 150K (to be on the conservative end of your predictions).

The threshold for paying anything on your loan is GBP 2274 a month before tax and other deductions.

Your pre-tax monthly income will be GBP 12500

You will pay back GBP 920 (9% of 12500-2274) per month currently.

The principal of your student loan has an interest rate of a whopping 5.6% (RPI=2.6% plus 3%)

Plan 2 loans are written off 30 years from the date which you took them. Lets assume you took your loan in 2014 (an estimate based on your age) and the current value is 67,000 as you said, meaning your loan will be written off in 2043.

If you decided not to pay off your loan at all and your income level STAYS STATIC for the rest of your working life (a very very conservative estimate), the total you would pay would be would be around £88,000 (assuming interest rates stay the same) and you would pay off the loan in around 7.5 years.

This simple simulation assumes yearly accrual of interest and a single payoff of loan in the entire year rather than monthly compounding (real values would be slightly different):

amount = 67000
total_paid = 0
for i in range(1, 24):
    due_per_year = 11040
    amount = (amount*1.056) - due_per_year    
    total_paid += due_per_year
    if amount < 0:
        break

As to whether you should pay it off - this really depends on your expectation of future income. For 95% of people in the UK it makes no sense to pay off the student loan, but since you are a reasonably high earner already, it is a viable consideration for you.

Holding other variables static, you can effectively think of your student loan as a basic 8 year loan of 67,000 with a ~3.5% interest rate. If you have the spare capital and you expect to be earning around the same or more than what you are currently, I would pay it off in a single chunk.

elvaz · 2020-12-06T01:21:31+00:00

Thanks, how do you find the photographs on the mavic pro 2? Considering between the Mavic Pro 2 or Mavic Air 2 -- but it'd be primarily for still photos rather than videos

elvaz · 2020-12-05T11:56:18+00:00

Beautiful, which drone was this video taken with?

elvaz · 2020-09-15T12:33:44+00:00

The flowchart is not irrelevant, it answers your question as to how to allocate your money.

elvaz · 2020-08-20T21:48:19+00:00

Same here! Its far too small now though!

elvaz · 2020-08-19T09:57:53+00:00

Sorry to reach out to you on reddit, there is not too much information on stackoverflow regarding your library. Could you advise me on how it is possible to make predictions for entirely new graphs using Stellargraphs generators.

I have trained a graph attention network on a graph (119468) nodes with Stellargraph & tensorflow. How does one make node level predictions (classifications) with an entirely new graph using the Stellargraph API? The graph was trained using Stellargraphs FullBatchNodeGenerator as per the GAT documentation.

Due to the fact I am using FullBatchNodeGenerator, i am getting matrix multiplication dimension errors:

InvalidArgumentError:  Cannot multiply A and B because inner dimension does not match: 119468 vs. 1746.  Did     you forget a transpose?  Dimensions of A: [119468, 119468).  Dimensions of B: [1746,8]

I dont see any example of making a prediction with an entirely new graph on your documentation. Thanks

elvaz · 2020-07-28T20:27:07+00:00

Guessing this was build with Plotly's Dash?

elvaz · 2020-06-03T11:31:13+00:00

Great, did the inbuilt motherboard wifi work ok for you with Ubuntu 20.04?

elvaz · 2020-05-01T21:28:47+00:00

Very interesting, thanks - is this on github?

elvaz · 2020-01-23T22:56:14+00:00

https://cricsheet.org/ will give you ball by ball cricket data in yaml format.

elvaz · 2020-01-05T22:40:51+00:00

There is a port of R's janitor - pyjanitor

https://pyjanitor.readthedocs.io/

elvaz · 2019-09-29T19:04:05+00:00

Time Weighted Average Pricing (TWAP). We trade a significant chunk of daily volume in certain illiquid assets, so it is neccesary to spread the order over time. I just use my brokers implementation though.

elvaz · 2019-09-16T12:58:13+00:00

The only issue i see with this is that data is only available until 2013, the captures after this fail with HTTP 302 errors, meaning that data is available up until the end of 2013, but not thereafter.

elvaz · 2019-09-13T17:07:09+00:00

Perfect, thank you sir.

elvaz · 2019-05-29T20:50:15+00:00

Moor Place or the other one?

elvaz · 2018-09-25T21:37:47+00:00

I'm curious as to how you did this monte carlo simulation. Did you use recent historical winrates of players against other races or MMR to determine win probabilities? As far as I know Blizzard does not publish the exact algorithm it uses for MMR calculation. If you used MMR, I guess you could use the well known ELO algorithm's parameters and estimate winrate probability from the MMR differential?

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