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This article mainly introduces "what is the role of Python in real-time embedded system development". In daily operation, I believe many people have doubts about the role of Python in real-time embedded system development. I have consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the doubts about "what is the role of Python in real-time embedded system development?" Next, please follow the editor to study!

Function # 1 equipment debugging and control

In the process of embedded software development, developers often need to analyze bus traffic, such as USB, SPI or I2C. Some analyses are only for debugging purposes, but sometimes it is necessary to control the bus analyzer and send information to the embedded system. Many bus analyzers and communication tools have friendly user interfaces that can be used to control tools. They also usually provide a way to develop scripts and can also be used to control tools. Python is a generally supported scripting language, sometimes it is an interface to some tools, or is used to control tools.

Function # 2-automated testing

The ability to send and receive messages in embedded systems through Python control tools makes it possible to build automated tests (including regression tests) using Python. Python scripts can set the embedded system into different states, set configuration files, and test all possible interference and interaction between the system and the external environment. The advantage of developing automated testing with Python is that regression testing can develop continuous testing and train the system. Any bug or nonconformance results caused by any code changes will be detected in real time.

Role # 3-data analysis

Simply search the Python library through Web, and you will find that there are many free and powerful Python libraries that can be used to develop applications. Python can be used to receive very important embedded system data and then store it in a database or locally for analysis. Developers can also use Python to develop real-time visualization to display critical parameters, or store these parameters for subsequent analysis. One of the advantages of using Python for data analysis is that when the basic work is completed, the insertion of new functions will be relatively simple.

Role # 4-real-time software

Python has proved its strength and ease of use, and even found that it is used as a programming language into real-time embedded systems. Yes, the embedded software itself is written in Python instead of Cmax Category +. The most widely used version of Python for real-time software is MicroPython, which is mostly designed to run on ARM Cortex-M3/ 4 microcontrollers. MicroPython is not isolated. Synapse and OpenMV use both MicroPython and their own Python port in embedded systems. Readers interested in MicroPython may also be interested in continuing education courses offered by DesignNews, a sister organization of EDN.

Role # 5-Learning object-oriented programming

Python is a free programming language that can be used across multiple platforms and is relatively simple for students and non-programmers. Unlike the C language, it is also modern and can be structured in free-form script types or as a complex object-oriented architecture. Python itself is flexible. There is even a scenario in which an electrical engineer with no programming experience can use Python to write useful test scripts or perform board checks in a minimum of time.

At this point, the study on "what is the role of Python in the development of real-time embedded systems" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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