Change all link in introdcution to relative links to other sections

Author: arkdong

docs/quickstart.rst

@@ -20,17 +20,17 @@ compression, and various backends, making it a versatile choice for scientific a
 large-scale data.
 
 An `ndarray <https://numpy.org/doc/2.2/reference/arrays.ndarray.html>`_ is a (usually fixed-size) multidimensional container of items of the
-same type and size. 
+same type and size.
 
 
 Main Features are:
 
-- `Create <https://zarr.readthedocs.io/en/stable/tutorial.html#creating-an-array>`_  N-dimensional arrays with any NumPy `dtype`.
-- `Chunk arrays <https://zarr.readthedocs.io/en/stable/tutorial.html#chunk-optimizations>`_ along any dimension.
-- `Compress <https://zarr.readthedocs.io/en/stable/tutorial.html#compressors>`_ and/or filter chunks using any NumCodecs codec.
-- `Store arrays <https://zarr.readthedocs.io/en/stable/tutorial.html#tutorial-storage>`_ in memory, on disk, inside a zip file, on S3, etc...
-- `Read <https://zarr.readthedocs.io/en/stable/tutorial.html#reading-and-writing-data>`_ an array `concurrently <https://zarr.readthedocs.io/en/stable/tutorial.html#parallel-computing-and-synchronization>`_ from multiple threads or processes.
-- Write to an array concurrently from multiple threads or processes.
+- :ref:`Create<creating-an-array>`  N-dimensional arrays with any NumPy `dtype`.
+- :ref:`Chunk arrays<user-guide-chunks>` along any dimension.
+- :ref:`Compress<user-guide-compress>` and/or filter chunks using any NumCodecs codec.
+- :ref:`Store arrays<user-guide-storage>` in memory, on disk, inside a zip file, on S3, etc...
+- :ref:`Read<user-guide-array>` an array :ref:`concurrently <user-guide-sync>` from multiple threads or processes.
+- :ref:`Write<user-guide-array>` to an array concurrently from multiple threads or processes.
 - Organize arrays into hierarchies via :ref:`groups<hierarchical-groups>`.
 
 
@@ -50,6 +50,8 @@ or `conda`:
 
     conda install --channel conda-forge zarr
 
+.. _creating-an-array:
+
 Creating an Array
 -----------------