From ce144c4a1051890ba01068ddd6ab940176eea3b5 Mon Sep 17 00:00:00 2001
From: Frederik Hennig <frederik.hennig@fau.de>
Date: Mon, 18 Nov 2024 08:40:13 +0100
Subject: [PATCH] minor fixes to docs

---
 docs/source/index.rst           | 22 ++++++++++++----------
 docs/source/reference/types.rst |  7 +++++++
 2 files changed, 19 insertions(+), 10 deletions(-)

diff --git a/docs/source/index.rst b/docs/source/index.rst
index bed87efa9..868fbc036 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -36,18 +36,18 @@ Its features include:
 - **Symbolic Algebra:** Design numerical methods on a mathematical level using the full power
   of the `SymPy <https://sympy.org>`_ computer algebra system.
   Make use of pystencils' discretization engines to automatically derive finite difference- and finite volume-methods,
-  and take control of numerical precision using the versatile type system.
+  and take control of numerical precision using the `versatile type system <page_type_system>`.
 - **Kernel Description:** Derive and optimize stencil-based update rules using a symbolic abstraction
-  of numerical fields.
-- **Code Generation:** Generate and compile high-performance parallel kernels for CPUs and GPUs.
+  of numerical `fields <page_symbolic_language>`.
+- **Code Generation:** `Generate and compile <page_kernel_creation>` high-performance parallel kernels for CPUs and GPUs.
   Accelerate your kernels on multicore CPUs using the automatic OpenMP parallelization
   and make full use of your cores' SIMD units through the highly configurable vectorizer.
 - **Rapid Prototyping:** Run your numerical solvers on `NumPy <https://numpy.org>`_ and `CuPy <https://cupy.dev>`_ arrays
   and test them interactively inside `Jupyter <https://jupyter.org/>`_ notebooks.
   Quickly set up numerical schemes, apply initial and boundary conditions, evaluate them on model problems
   and rapidly visualize the results using matplotlib or VTK.
-- **Framework Integration:** Power your massively parallel simulations by exporting your kernels into HPC frameworks
-  such as `waLBerla <https://walberla.net>`_.
+- **Framework Integration:** Export your kernels and use them inside HPC frameworks
+  such as `waLBerla`_ to build massively parallel simulations.
 
 
 Contents
@@ -77,10 +77,12 @@ Contents
 
    Dive deep into the core of pystencils' code generation engine.
 
+Projects using pystencils
+-------------------------
 
-.. Indices and tables
-.. ==================
+- `lbmpy <https://pycodegen.pages.i10git.cs.fau.de/lbmpy/>`_
+- `waLBerla`_
+- `HyTeG Operator Generator (HOG) <https://hyteg.pages.i10git.cs.fau.de/hog/>`_
 
-.. * :ref:`genindex`
-.. * :ref:`modindex`
-.. * :ref:`search`
+
+.. _walberla: https://walberla.net
diff --git a/docs/source/reference/types.rst b/docs/source/reference/types.rst
index 7b0ef5dc1..041b0cb2a 100644
--- a/docs/source/reference/types.rst
+++ b/docs/source/reference/types.rst
@@ -1,3 +1,5 @@
+.. _page_type_system:
+
 ***********
 Type System
 ***********
@@ -22,6 +24,11 @@ Type Creation and Conversion
 Data Type Class Hierarchy
 -------------------------
 
+These are the classes that make up the type system internally.
+Most of the time, you will not be using them directly, so you can skip over this part
+unless you have very particular needs.
+
+
 .. inheritance-diagram:: pystencils.types.meta.PsType pystencils.types.types
     :top-classes: pystencils.types.PsType
     :parts: 1
-- 
GitLab