learning/tools_for_ls: Fill in Matlab and Zephyr sections

docs/learning/tools_for_ls/index.rst

@@ -16,7 +16,7 @@
 software ecosystems to enable physically intelligent systems.
 
 Rather than being a single library or runtime, ADI DataX is a collection of
 reusable software building blocks, including device drivers, middleware, FPGA
 IP, and reference designs - aligned under a common architecture and enablement
 model. This concept is depicted somewhat abstractly in :numref:`fig-datax_diag`
 
@@ -40,7 +40,7 @@
    :height: 400px
    :align: center
 
    Applications mappped onto ADI DataX layers
 
 What does “Enabled by ADI DataX” mean?
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -70,13 +70,13 @@
 
 But wait, there's more! We also pre-build boot files for as many of these cases
 as possible. This means you can bring up examples without having to install and
 configure toolchains right away. This can be a huge timesaver when you just want
 a quick proof of concept, and don't want the overhead of installing a piece of
 software you may not be familiar with (FPGA tools, compilers for processors
 you're not going to be using beyond initial development, etc.).
 
 The ADI :ref:`kuiper` Linux distribution is a big part of the "get up and
 running quickly" philosophy. Kuiper is a specialized Debian-based Linux
 distribution designed specifically for Analog Devices hardware and evaluation
 boards. It provides a complete, ready-to-use environment with ADI libraries,
 tools, and applications pre-configured for seamless hardware integration.
@@ -106,11 +106,11 @@
 math, and displaying a result.
 
 We will start with a Linux-based workflow because it's extremely convenient
 (trust us!) using the ubiquitious Raspberry Pi, leveraging Linux device drivers
 pre-built in ADI Kuiper Linux, Pyadi-iio. We'll then show how to migrate to
 other languages (C, C#, MATLAB), other processing platforms (ARM-based MAX32xxx,
 Raspberry Pi Pico), ecosystems (no-OS / bare metal, Zephyr), and middleware
 layers (GNURadio, ROS). With ADI DataX, switching between these layers is cheap
 - there is little to no barrier to getting a proof of concept up and running in
 Linux, then switching to bare metal or Zephyr as development continues.
 
@@ -171,7 +171,7 @@
 - Or:
    - :adi:`EVAL-AD5592R-PMDZ<eval-ad5592r-pmdz>`
    - :adi:`EVAL-AD5593R-PMDZ<eval-ad5593r-pmdz>`
    - :adi:`Raspberry Pi to PMOD/QuikEval™/LTpowerPlay® Adaptor HAT<pmd-rpi-intz>`
    - 2N3904 NPN Transistor
    - 2N3906 PNP Transistor
    - 47Ω resistor
@@ -220,7 +220,7 @@
 
 While this is not intended to be a Python-centric workshop, it sort of ends up
 that way by default because Python is so easy to use and flexible, so we use it
 as a tool througout. Even if you are not using Python in your end application,
 it often still makes sense as an intermediate tool during development. If you're
 not at least somewhat familiar with the language, A wonderful resource for
 learning Python is `learnpython.org <https://learnpython.org/>`__, runs right in
@@ -448,7 +448,7 @@
 we can write a simple C program that runs natively in Linux, on the Raspberry
 Pi. In this section, we'll go through this process.
 
-:doc:`Continue to C, C++ Tutorial <native_c_example/index>`
+:ref:`Continue to C, C++ Tutorial <datax-native-c-example>`
 
 .. toctree::
    :hidden:
@@ -462,7 +462,7 @@
 In this section, we'll work through porting the temperature sensor and curve
 tracer to MATLAB.
 
-:doc:`Continue to MATLAB Tutorial <matlab_example/index>`
+:ref:`Continue to MATLAB Tutorial <datax-matlab-example>`
 
 .. toctree::
    :hidden:
@@ -495,7 +495,7 @@
 
 To see this in action:
 
-:doc:`Continue to tinyiiod Tutorial <tinyiiod_example/index>`
+:ref:`Continue to tinyiiod Tutorial <datax-iio-for-migrating>`
 
 .. toctree::
    :hidden:
@@ -517,7 +517,7 @@
 Let's now migrate the curve tracer logic that until now ran in Python on a
 remote host into the embedded target, replacing the tinyiiod server entirely.
 
-:doc:`Continue to tinyiiod Tutorial <standalone_no-os_example/index>`
+:ref:`Continue to tinyiiod Tutorial <datax-no-os-standalone>`
 
 .. toctree::
    :hidden:
@@ -542,7 +542,7 @@
 In the Zephyr section of this workshop, we will run the tinyiiod server, a
 few standalone examples, and the debug console.
 
-:doc:`Continue to the Zephyr examples <zephyr_example/index>`
+:ref:`Continue to the Zephyr examples <datax-zephyr-example>`
 
 .. toctree::
    :hidden:
@@ -563,7 +563,7 @@
 ADALM-LSMSPG to generate position commands and read feedback, demonstrating
 how IIO devices can be integrated into a ROS2-based control system.
 
-:doc:`Continue to ROS2 Integration Tutorial <ros2_integration/index>`
+:ref:`Continue to ROS2 Integration Tutorial <datax-ros2-integration>`
 
 .. toctree::
    :hidden: