Overview of Internet of Things
As the Internet of Things (IoT) continues to evolve, it may become more difficult to know which tools are best suited for performing different tasks. Likewise, estimating the relative popularity of programming languages without having a clear idea of the prerequisites can be complicated.
Finally, trying to identify the most popular IoT programming languages among 6.2 million IoT developers makes the exercise even more perilous.
Information on the subject is sparse, however, if you are ready to search sources on Quora or Medium sites, to scour corporate sites and IoT blogs, and if you are ready to go back a few years, you will be able to see some dominant characters emerge.
The number of IoT developers continues to grow and the market is expected to grow by 10% per year until 2030. Within the IoT industry, several programming languages are popular.
Here are the Top IoT Programming Languages in 2023 and Beyond
Java is a language that has multiple benefits for IoT development. This is mainly used for the development of set-top boxes, which is one of the first areas of non-desktop computing.
The advantages of Java are well known. Developers can debug their code from their desktop and then move it to any chip with a Java Virtual Machine. The code can, therefore, work not only on servers and smartphones but also on smaller machines.
Java SE Embedded allows this code to be sent to very small machines and offers more possibilities than did Java ME. Developers can use the latest features of the Java 8 platform to send their code to very small embedded cards.
Several open-source projects like Pi4J and BlueJ show that the embedded version of Java works very well, including on chips that seem limited.
Despite a sometimes-indigestible syntax and a million possibilities for making mistakes, the C language is still the first choice of many low-level developers, especially for those who already have some hardware experience.
The language makes it possible to carry out very many tests by modifying each or such part of the code to obtain the best possible performance from a weak device.
Each bit can be reversed, and each value in the stack is available. It is, however, preferable not to make too many errors, because the C language does not offer many safety nets.
For many CTOs, C remains a preferred language for resource-constrained devices, such as a basic task scheduler also coded in C.
More advanced or larger devices also use the C language, but Java is increasingly preferred in this type of case.
On the smartphone side, part of the programming is still delivered in Objective C, but Swift is on the way to exceeding its popularity.
Python has been taking gallons for two years and is leading the general classification of IoT programming languages since 2018.
For small devices with enough memory and computing power, developers are free to choose the language that will make their lives easier, and it turns out that Python is becoming more and more of a frequent choice.
Both easy to learn and supported by a large community, Python is particularly practical for IoT development.
Its syntax is clear and simple, and attracts more and more python developers. Python is the ideal language for the most popular microcontrollers on the market, Raspberry Pi.
Much of the documentation is written in Python, and many schools use the platform to teach computer programming.
If the project is relatively simple and does not require large power, it is quite possible to develop effective tools from the same libraries as those used in school.
Some versions are also designed for smaller devices, such as the MicroPython, a small microcontroller optimized to run Python in bare metal and offers a low-level operating system to control all kinds of electronic projects.
But even if most of the Node JS code works on larger machines; several efforts are made to allow it to work on smaller devices.
Swift is becoming more and more popular and is gradually overtaking Objective C in the development of iOS and macOS applications.
Given the preponderance of these devices on the market, it makes sense that this language is often part of the IoT stack. To interconnect an object with an iPhone or iPad, the application will probably be coded in Swift. Hire Swift Developer for your next project.
Apple intends to make its iOS devices the center of the connected home of the future so that the company has created numerous booksellers and an infrastructure considerably facilitating the handling of development.
Apple’s HomeKit platform provides support for integrating data flows from a network of compatible objects. It is, therefore, possible to focus on the details and delegate the supervision of the integration to HomeKit.
If we understand that the popularity of PHP resists the weight of years on the web, we can wonder about the reasons for its popularity for IoT development. PHP is, however, an ideal server language for managing microservices.
But the language also shows an important interest at a low level. Several Raspberry Pi developers are considering setting up a complete LAMP stack with Apache, MySQL and PHP running on Linux, and are paradigm-shifting by transforming the lowest level of the Internet into a full-fledged web server.
When a Raspberry Pi has enough cycles, setting up a LAMP stack on the chip facilitates development. All the code developed on the server side over the past 20 years can then be sent to a small sensor.
Not very orthodox, but visibly effective, so why deprive yourself of it?
Obviously, there is a consensus on leading IoT programming languages, but rivals have their advantages and use cases. Java, the most popular IoT programming language, can run in many environments – from back-end to mobile applications – and dominates in gateways and the cloud.
The C language is generally considered to be the essential programming language for embedded IoT devices, while the C ++ language is the most common choice for more complex Linux implementations. As for Python, it is well suited to voracious data applications.
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