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-rw-r--r--doc/source/reference/random/index.rst7
1 files changed, 4 insertions, 3 deletions
diff --git a/doc/source/reference/random/index.rst b/doc/source/reference/random/index.rst
index 15c161244..d28646df9 100644
--- a/doc/source/reference/random/index.rst
+++ b/doc/source/reference/random/index.rst
@@ -32,7 +32,7 @@ instance's methods are imported into the numpy.random namespace, see
Quick Start
-----------
-By default, `~Generator` uses bits provided by `~pcg64.PCG64` which
+By default, `~Generator` uses bits provided by `PCG64` which
has better statistical properties than the legacy mt19937 random
number generator in `~.RandomState`.
@@ -155,7 +155,7 @@ What's New or Different
(`~.PCG64.ctypes`) and CFFI (`~.PCG64.cffi`). This allows the bit generators
to be used in numba.
* The bit generators can be used in downstream projects via
- :ref:`Cython <randomgen_cython>`.
+ :ref:`Cython <random_cython>`.
* `~.Generator.integers` is now the canonical way to generate integer
random numbers from a discrete uniform distribution. The ``rand`` and
``randn`` methods are only available through the legacy `~.RandomState`.
@@ -199,7 +199,8 @@ Features
Multithreaded Generation <multithreading>
new-or-different
Comparing Performance <performance>
- extending
+ c-api
+ Examples of using Numba, Cython, CFFI <extending>
Original Source
~~~~~~~~~~~~~~~