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Title: Beginner’s guide - mkl_random 1.4.0dev0 documentation

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Domain: intelpython.github.io

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Links:

Skip to contenthttps://intelpython.github.io/mkl_random/tutorials.html#furo-main-content
mkl_random 1.4.0dev0 documentationhttps://intelpython.github.io/mkl_random/index.html
mkl_random 1.4.0dev0 documentation https://intelpython.github.io/mkl_random/index.html
Beginner’s guidehttps://intelpython.github.io/mkl_random/tutorials.html
How-to Guideshttps://intelpython.github.io/mkl_random/how_to.html
mkl_random APIshttps://intelpython.github.io/mkl_random/reference/index.html
Class RandomStatehttps://intelpython.github.io/mkl_random/reference/api.html
MT19937 brnghttps://intelpython.github.io/mkl_random/reference/mt19937.html
SFMT19937 brnghttps://intelpython.github.io/mkl_random/reference/sfmt19937.html
R250 brnghttps://intelpython.github.io/mkl_random/reference/r250.html
MT2203 brnghttps://intelpython.github.io/mkl_random/reference/mt2203.html
Wichmann-Hill brnghttps://intelpython.github.io/mkl_random/reference/wichmann_hill.html
MCG31 brnghttps://intelpython.github.io/mkl_random/reference/mcg31.html
MCG59 brnghttps://intelpython.github.io/mkl_random/reference/mcg59.html
MRG32k3a brnghttps://intelpython.github.io/mkl_random/reference/mrg32k3a.html
Philox4x32x10 brnghttps://intelpython.github.io/mkl_random/reference/philox4x32x10.html
Nondeterm brnghttps://intelpython.github.io/mkl_random/reference/nondeterministic.html
ARS5 brnghttps://intelpython.github.io/mkl_random/reference/ars5.html
Contributinghttps://intelpython.github.io/mkl_random/maintenance/index.html
Back to top https://intelpython.github.io/mkl_random/tutorials.html
View this page https://intelpython.github.io/mkl_random/_sources/tutorials.rst.txt
https://intelpython.github.io/mkl_random/tutorials.html#beginner-s-guide
https://intelpython.github.io/mkl_random/tutorials.html#installation
condahttps://docs.conda.io/en/latest/
channelshttps://docs.conda.io/projects/conda/en/latest/user-guide/concepts/channels.html
https://intelpython.github.io/mkl_random/tutorials.html#id1
https://intelpython.github.io/mkl_random/tutorials.html#id2
https://intelpython.github.io/mkl_random/tutorials.html#id3
https://intelpython.github.io/mkl_random/tutorials.html#id4
https://intelpython.github.io/mkl_random/tutorials.html#id5
Intel® Distribution for Python*https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-for-python.html
https://intelpython.github.io/mkl_random/tutorials.html#first-steps
mkl_random.RandomStatehttps://intelpython.github.io/mkl_random/reference/api.html#mkl_random.RandomState
https://intelpython.github.io/mkl_random/tutorials.html#id6
https://intelpython.github.io/mkl_random/tutorials.html#id7
https://intelpython.github.io/mkl_random/tutorials.html#id8
https://intelpython.github.io/mkl_random/tutorials.html#id9
https://intelpython.github.io/mkl_random/tutorials.html#pseudo-random-vs-non-deterministic-generators
True random generatorhttps://en.wikipedia.org/wiki/Hardware_random_number_generator
Psuedo-random generatorhttps://en.wikipedia.org/wiki/Pseudorandom_number_generator
Diehard testshttps://en.wikipedia.org/wiki/Diehard_tests
Next How-to Guides https://intelpython.github.io/mkl_random/how_to.html
Previous Home https://intelpython.github.io/mkl_random/index.html
Sphinxhttps://www.sphinx-doc.org/
@pradyunsghttps://pradyunsg.me
Furohttps://github.com/pradyunsg/furo
Beginner’s guidehttps://intelpython.github.io/mkl_random/tutorials.html
Installationhttps://intelpython.github.io/mkl_random/tutorials.html#installation
First stepshttps://intelpython.github.io/mkl_random/tutorials.html#first-steps
Pseudo-random vs. non-deterministic generatorshttps://intelpython.github.io/mkl_random/tutorials.html#pseudo-random-vs-non-deterministic-generators

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