copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer
(Any information to deal,buy, sell, quote for products or service)
What does numpy. random. seed(0) do? - Stack Overflow When you set the seed (every time), it does the same thing every time, giving you the same numbers If you want seemingly random numbers, do not set the seed If you have code that uses random numbers that you want to debug, however, it can be very helpful to set the seed before each run so that the code does the same thing every time you run it
What does `random. seed()` do in Python? - Stack Overflow Random number generation isn't truly "random" It is deterministic, and the sequence it generates is dictated by the seed value you pass into random seed Typically you just invoke random seed(), and it uses the current time as the seed value, which means whenever you run the script you will get a different sequence of values
What is the use of numpy. random. seed() Does it make any . . . Note that np random seed is deprecated and only kept around for backwards-compatibility That's because re-seeding an existing random-number generator (RNG) is bad practice If you need to seed (e g , to make computations reproducible for tests), create a new RNG: import numpy as np rng = np random default_rng(seed=0) out = rng random(5)
Difference between np. random. seed (1) and np. random. seed (0)? It seems odd to seed the random number generator at all Seeding it will cause the same sequence of "random" numbers every time you run the program The "with mean 0" means that it's going to return values between -1 and 1 If evenly distributed, the mean will be 0
python - How do I create a deterministic Random number . . . Yes; if you want the same result every time you need to call seed in-between It's already deterministic, but that doesn't mean you get the same result every time you call np random – jonrsharpe CommentedSep 27, 2015 at 15:39 1 This may also be useful for your purposes: Difference between np random seed () and np random RandomState () – askewchan CommentedSep 27, 2015 at 18:15 1 Answer