Python's five main roles in real-time embedded system development-Yue Tak Wealth

Python has become quite popular as a programming language. Named after the famous Monty Python, it belongs to the object-oriented and interpretive language (non-compiled). This attribute makes Python a good cross-platform, such as Linux and Windows, or a single board computer such as Raspberry Pi. With the growing popularity of Python, one might ask whether there is a place for Python in real-time embedded systems.

The answer is yes. The following are the five main roles that developers find Python likely to play in real-time embedded system development.

Role # 1 Device Commissioning and control

In the process of embedded software development, developers often need to analyze bus traffic, such as USB, SPI, or i²c. Some analysis is 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 user-friendly interfaces that can be used to control tools. They often also provide a way to develop scripts, or to control tools. Python is a universally supported scripting language, sometimes an interface for some tools, or a tool to control.

Role #-Automated testing

The ability of the Python control tool to send and receive messages in an embedded system makes it possible to build automated tests (including regression testing) using Python. The Python script can set the embedded system into different states, set up the configuration file, and test all possible disturbances as well as the interaction between the system and the external environment. The benefit of developing automated tests using Python is that regression testing can develop continuous testing and train systems. Any bugs or unqualified results caused by any code changes will be detected in real time.

function # 3– Data analysis

By simply searching the Python library via the web, you will find that there are many free and powerful Python libraries that you can use to develop your application. Python can be used to receive very important embedded system data, then stored in a database or locally for analysis. Developers can also use Python to develop real-time visualizations to show critical parameters, or to store these parameters for subsequent analysis. One of the advantages of using Python for data analysis is that when basic work is done, the placement of new features is straightforward.

function # 4– Real-time software

Python has proven its strength and ease of use, and even found it as a programming language into real-time embedded systems. Yes, the embedded software itself is written in Python instead of C/s. The most extensive version of Python for real-time software is Micropython, mostly designed to run on arm CORTEX-M3/4 microcontrollers. Micropython is not isolated. Synapse and OPENMV companies use both Micropython and their own Python ports in embedded systems. Readers interested in Micropython may also be interested in continuing education courses at Designnews (the sister institution 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. The language differs from the C language in that it is also modern and can be structured in a freeform script type or as a complex object-oriented architecture. Python itself is also very flexible. There is even this scenario: Electrical engineers without programming experience can use Python to write useful test scripts or to implement board checks with minimal time.

Python's learning curve is not steep, and developers familiar with the Python learning curve find that learning Python is easier than learning any other programming language when you have the basics of other languages. For these reasons, it should not be surprising when developers see Python playing the role of a programming incubator and absorbing other inexperienced engineers to contribute to an early and overdue design cycle.

Conclusion

Students and engineers will gradually become more familiar with the Python language. Some people may think that the manufacturer's behavior and raspberry Pi are one of the reasons why Python moves forward on the list of popular lists. Moreover, the language itself is flexible, easy to learn, and can work properly in a microcontroller-based environment. Therefore, developers should not be surprised when they see Python appearing in embedded system development and gradually playing a role.

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Python's five main roles in real-time embedded system development-Yue Tak Wealth