MATLAB I/O Training Overview
This advanced-level MATLAB I/O and External Interfaces training course teaches attendees how to connect MATLAB to a wide variety of external connectors, including COM, Java, C++, .NET, Python, website URLs, disk, I/O, and more.
Note: This course can be condensed to a half-day with fewer examples and less hands-on practice. We strongly recommend the full-day version if possible.
Location and Pricing
This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Access file data programmatically in MATLAB
- Access external Java/C++/.NET/COM functionality within MATLAB
- Use the custom programmatic styling of MS Office documents in MATLAB
- Manipulate external objects via MATLAB code
- Use MATLAB’s new C++ and Python interfaces
Prerequisites
Attendees should have taken Accelebrate's Introduction to MATLAB course or have equivalent knowledge. Students must be comfortable using the MATLAB environment and have some basic MATLAB programming experience.
Outline
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Introduction
MATLAB File I/O
- High/medium/low level I/O
- Binary vs. text format
- Performance considerations and other tradeoffs
Connecting MATLAB to a URL
- The urlread and webread functions, and their relatives
- Customizing the underlying network object
- Using JSON data format
Connecting MATLAB to a COM Server
- The actxserver function and its relatives
- Manipulating Microsoft Office documents (Excel, PowerPoint, Word)
- Enumerations
- Avoiding COM access pitfalls
Using .NET Objects in MATLAB
- The import command
- Implicit data-type conversion
- Calling .NET functions and processing the returned results
Using Java Objects in MATLAB
- The javaaddpath function and its relatives
- Using Java objects within MATLAB
- Data type conversions
- Java-MATLAB arrays
- Static vs. dynamic classpath
- Attaching MATLAB callbacks to Java events (if time permits)
- Avoiding Java access pitfalls
Using Python in MATLAB
- In-process vs. external Python engine
- Calling Python functions and processing the returned results
Synchronicity
- MATLAB’s Main Thread and Java/Python/.NET function calls
- Implications of argument data being passed by value
- Using Java/.NET/Python threads
Using C++ Code in MATLAB
- MEX
- MATLAB’s changed memory access
- Avoiding MEX access pitfalls
- The loadlibrary function and its relatives
- The new import functionality
Conclusion
Training Materials
All training students will receive comprehensive courseware.
Software Requirements
- Any Windows, Linux, or macOS operating system
- A recent version of MATLAB
