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Matthew Ballance committed Nov 7, 2020
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8 changes: 7 additions & 1 deletion doc/source/introduction.rst
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Expand Up @@ -11,15 +11,21 @@ domain-specific language built on top of the Model API. This allows
coverage and randomization features to be programmatically built,
defined with user-friendly constructs, or defined using a mix of the two.

Blog Posts
----------
One great way to get an overview of PyVSC is to read a series of
blog posts about PyVSC. Links are below:

- `The fundamentals of modeling stimulus and functional coverage in Python <http://bitsbytesgates.blogspot.com/2020/03/modeling-random-stimulus-and-functional.html>`_.
- `Modeling verification data types in Python <http://bitsbytesgates.blogspot.com/2020/04/python-verification-stimulus-and.html>`_.
- `Modeling and capturing functional coverage in Python <http://bitsbytesgates.blogspot.com/2020/04/python-verification-and-stimulus.html>`_.
- `Making use of captured coverage data <http://bitsbytesgates.blogspot.com/2020/04/python-verification-working-with.html>`_.
- _`Python Verification Stimulus and Coverage: Constraints <https://bitsbytesgates.blogspot.com/2020/05/python-verification-stimulus-and.html>`_.
- `Python Verification Stimulus and Coverage: Constraints <https://bitsbytesgates.blogspot.com/2020/05/python-verification-stimulus-and.html>`_.

Papers
------

- `PyVSC: SystemVerilog-Style Constraints and Coverage in Python <https://raw.github.com/fvutils/pyvsc/master/doc/papers/PyVSC_Randomization_Constraints_Coverage_in_Python_final.pdf>`_.


Currently, the Python-embedded domain-specific language supports
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