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| author | Robert Kern <robert.kern@gmail.com> | 2023-04-19 22:55:27 -0400 |
|---|---|---|
| committer | Robert Kern <robert.kern@gmail.com> | 2023-04-19 22:55:27 -0400 |
| commit | f33348eee45668deb6fa75edbd61564870b03890 (patch) | |
| tree | ca07e45995a140254a603c14d09f23dc939bb024 /doc/source/reference | |
| parent | 84ba99c19930019d7f67a91a903450569e6d61cf (diff) | |
| download | numpy-f33348eee45668deb6fa75edbd61564870b03890.tar.gz | |
DOC: NumPy capitalization
Diffstat (limited to 'doc/source/reference')
| -rw-r--r-- | doc/source/reference/random/index.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/reference/random/index.rst b/doc/source/reference/random/index.rst index 2965fad0a..dc17abe9e 100644 --- a/doc/source/reference/random/index.rst +++ b/doc/source/reference/random/index.rst @@ -96,7 +96,7 @@ into more useful distributions, e.g., simulated normal random values. This structure allows alternative bit generators to be used with little code duplication. -Numpy implements several different `BitGenerator` classes implementing +NumPy implements several different `BitGenerator` classes implementing different PRNG algorithms. `default_rng` currently uses `~PCG64` as the default `BitGenerator`. It has better statistical properties and performance over the `~MT19937` algorithm used in the legacy `RandomState`. See |