Core MATLAB (math, graphics, data types) has polished, runnable examples. But niche toolboxes (e.g., ROS Toolbox, Vehicle Dynamics Blockset) still contain outdated code that throws warnings in R2023b. One example: the ROS custom message doc still uses rosinit instead of the new ros2node API. MathWorks updates core docs faster than peripheral ones.
The fragmented search "docum better" suggests you want to improve. Here is a 3-step workflow using the R2023b documentation ecosystem: mathworks matlab r2023b v23202365128 docum better
The value of MATLAB often lies in its specialized toolboxes, and R2023b brought specific updates that are well-documented in the help files: Core MATLAB (math, graphics, data types) has polished,
The pyenv function in v23.2.0.2365128 now supports Python 3.11 and zero-copy data transfer for NumPy arrays. Release branch for doc updates tied to MATLAB release cycles