Why is python not used in embedded systems?

Python-based tools for developing embedded applications

Sometimes the embedded environment is just too restrictive to support a Python virtual machine. In such cases, various Python tools can be employed for prototyping, with the eventual application or system code being generated and deployed on the device.

Though 95% of embedded systems run on C/C++ this blog will help you understand why you should choose Python for embedded systems. For any software developer, Python is the wisest choice to build embedded systems. Python has dominated the IEEE Spectrum ranking for all programming languages.

Initially, Python became popular amongst embedded developers as a scripting language to test electronic devices. Slowly it has been moving further down the development stack. There are actually multiple implementations of Python, with CPython being the reference implementation widely used for desktop applications.

The Case for C/C++

The case for C/C++ is pretty obvious: It creates more compact and faster runtime code, and it’s already the language of choice for 95% of embedded system code, so it has a whole legacy that Python will have to overcome.

MicroPython is a subset of the Python 3 language that has been pared down to run efficiently on several microcontrollers. If you are familiar with Python or looking for a quick way to write code for a microcontroller (that isn’t C/C++, Arduino, or assembly), MicroPython is a good option.

Having evolved into a go-to programming language, Rust Has seen an increase in its adoption. Although Python holds a firm place in the machine learning and data science community, Rust is likely to be used in the future as a more efficient backend for Python libraries. Rust has huge potential to replace Python.

Comparing Python to Other Languages

• Java. Python programs are generally expected to run slower than Java programs, but they also take much less time to develop. …
• Javascript. Python’s “object-based” subset is roughly equivalent to JavaScript. …
• Perl. …
• Tcl. …
• Smalltalk. …
• C++ …
• Common Lisp and Scheme.

Java has ideal characteristics for the embedded systems environment that include Portability, code reuse, reliability, security, WEB, and connection with other embedded systems. To provide what the embedded world will demand (and is already demanding) it’s important to use a high level language like Java.

It is possible to run embed Python within a HTML document That can be executed at run time.

Python. Python is fast becoming the most popular programming language in the world and if you are a new developer experience in Python, then It might be the best Blockchain language for you.

Python is a programming language that lets you write code quickly and effectively. With a design philosophy that focuses on code readability, Python is easy to learn and use. Thanks to the advances in single board computers and powerful microcontrollers, Python can now be used to control hardware.

Ease of development – Python has fewer keywords and more free English language syntax whereas C is more difficult to write. Hence, if you want an easy development process go for Python. Performance – Python is slower than C as it takes significant CPU time for interpretation. So, Speed-wise C is a better option.

C provides optimized machine instructions for the given input, which increases the performance of the embedded system. Most of the high-level languages rely on libraries, hence they require more memory which is a major challenge in embedded systems.

Arduino uses its own programming language, which is similar to C++. However, it’s possible to use Arduino with Python or another high-level programming language. In fact, platforms like Arduino work well with Python, especially for applications that require integration with sensors and other physical devices.

Python is slow

And indeed, Python was not designed to be the fasted language in the world. An there’s also the Python GIL, which really is not such a big problem as people make it sound. In fact, Python as a language tends to choose well-readable, clean code above raw speed.

Disadvantages of using Java for embedded systems

But, there are three main disadvantages of using Java on embedded systems: Java is quite verbose; It is complex and vast (217 packages with 4240 classes); Low performance.

Disadvantages Of Python Programming

• Poor Memory Efficiency. To make it simple for the developer, Python needs a lot of memory space; this can be a tad problematic if you want to develop apps where you need to optimize memory.
• Slow Speed. …
• Database Access. …
• Weak in Mobile Computing. …
• Runtime Errors.