Write clean MATLAB code
Structure scripts and functions the way professionals do, so your code is readable and easy to debug.
Updated for the 2026 MATLAB curriculum
A complete, step-by-step guide that takes you from zero to advanced MATLAB: fundamentals, plotting, data analysis, functions, apps and the modern features the 2026 curriculum expects. Every chapter is built around working code you can run right away.
What you'll be able to do
Structure scripts and functions the way professionals do, so your code is readable and easy to debug.
Vectorize calculations, index data confidently, and solve linear systems without loops.
Create 2D and 3D plots, customize every detail, and export figures ready for reports and papers.
Write reusable functions, handle errors, and turn repetitive tasks into one-click workflows.
Load spreadsheets and files, handle missing values, and work with tables for fast analysis.
Design simple apps with App Designer so others can use your models without touching the code.
Why this guide
Most MATLAB resources cover either the basics or a narrow topic. This guide follows a single path, in order, with each chapter building on the last.
Inside the guide
Each chapter combines short explanations, annotated examples, and exercises with solutions.
Navigate the interface, work in the Command Window, write your first scripts, and use the built-in help system.
Create and manipulate scalars, vectors and matrices, and understand the data types you will meet in every project.
Element-wise versus matrix operations, indexing and logical masks, and solving systems of equations.
Conditionals, loops, script and local functions, and the debugger that will save you hours.
Line, scatter, surface and contour plots, plus fine control over axes, legends, colormaps and exported figures.
Read CSV, Excel and text files, handle missing data, and summarize results with tables and groupings.
Root finding, numerical integration, ODE solvers and optimization, applied to realistic engineering problems.
Object-oriented programming, performance tuning, App Designer, and an introduction to the toolboxes that matter most.
A taste of the book
No filler. Each example shows one idea clearly, and you can paste it straight into MATLAB and see the result.
% Damped sine wave in three lines x = linspace(0, 2*pi, 200); y = sin(x) .* exp(-x/4); plot(x, y, 'LineWidth', 2) title('Damped sine wave')
Example from Chapter 5. Run it in any recent MATLAB release.
Who this is for
Coursework, lab reports and final projects, without the trial and error.
Automate calculations, analyze test data and share tools with your team.
Process experimental data and produce clean, publication-ready figures.
Bring your skills to MATLAB with a path that respects what you already know.
A structured curriculum that tells you what to learn next, chapter by chapter.
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Get the guide
Pay once, download instantly, and keep the book forever. Future updates are included.
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Questions
No. The first two chapters assume no background at all. If you have programmed before in another language, you will move faster through the early material.
The guide follows the 2026 curriculum and uses features available in current MATLAB releases. Most examples also run on recent earlier versions.
Yes, you need access to MATLAB itself. Many universities provide it free to students, and MathWorks offers trial access for everyone else.
You receive a PDF for reading on a computer and an EPUB for e-readers and phones. Both are delivered instantly after purchase.
Email within 30 days of purchase for a full refund. No forms and no questions asked.
Yes. Purchasing once includes every future revision of this edition, delivered to the same download link.
Start today
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