Stop a minute and check the IoT programming languages if you plan for a career switch. Why? Because internet is every where. And you can make use of this pervading power.
But let us make clear what IoT is. Have you had the feel of the old mobile phones? Ones with which you can only make calls and send messages. I had one of that kind way back in 2004.
Now you have phones that are really smart. Internet-enabled. All that you see and touch is connected to the internet on your smartphone. Internet of things IoT is connecting everything in the world to the internet.
That’s pretty amazing! You manage the tangible things invisibly.
Will Learning IoT Programming Languages Fetch you a Guaranteed Job?
Certain provable facts are,
- Many IoT applications
- IoT projects
- IoT system research
- Mobile apps connected to IoT
- Smart homes connected to IoT are springing up every day.
Moreover, several software development companies, involved in app development are taking advantage of developing IoT devices for advanced digitization.
Furthermore, a research conducted, titled, “Top Strategic IoT Trends and Technologies through 2023” highlights 10 upcoming trends in IoT. They are,
- Artificial Intelligence
- Infonomics and Data Broking
- Furthermore, Shift from Intelligent Edge to Intelligent Mesh
- Significantly, IoT Governance
- Additionally, Sensor Innovative
- Social, Legal, and Ethical IoT
- Trusted Hardware and OS
- Latest IoT User Experience
- Innovative on the Chip and
- New IoT Wireless Networking Technologies
Significantly, the possible areas of career opportunity in IoT after learning IoT programming languages are in,
- Data analytics
- Network and structure
- Device and hardware
- Cell and UI development
Learning IoT Programming Languages will fetch you the Following Most Sought After Jobs
Learn IoT programming languages to get any of the following jobs,
- IoT Product Manager – Rs. 1,675K to Rs.1,835K
- IoT Architect – You get an annual average of Rs. 1,619,775 per year.
- IoT Developer – The median salary is Rs. 15.2 lakhs per annum
- Data Scientists – Your average yearly salary is Rs. 620,244 per year.
- Robot Coordinator
- IoT Cloud Engineer – Your yearly average salary is Rs. 6 lakhs per annum.
- Industrial Engineer – The average pay of an industrial engineer is Rs. 391,252 per year.
- Industrial UI/UX Designer – Average salary of an industrial UI/UX Designer is Rs. 416K – Rs. 474K.
Furthermore, other job roles that you can get in the field of IoT are,
- Material Specialist
- Embedded Engineer
- Network Engineer
- Data Visualization Expert
- Test Engineers
- Instrumentation Engineers
What IoT Programming Languages should you Learn to Jump into an IoT Career?
First of all it is necessary to understand that the IoT architectural environment is divided into four sections as:
- The sensors that create the data
- The gateways or hubs that organize it
- The geographical locations
- Centralized servers that collect the data
Importantly, a basic sensor generally uses C as the programming language. Because C can work directly with the ram.
Furthermore, it is important for developers and programmers to choose the language apt for them to work in IoT.
Significantly, pertinent IoT developers survey conducted by Eclipse Foundation singles out five basic open source languages. These are needed for building IoT solutions,
Now, let’s look at the IoT programming languages needed for you to switch career to IoT.
Assembler is needed to make your IoT project compact, minimal and optimal. Moreover, as an assembler expert you can work out many optimization tricks.
Importantly, assembler packages and assembles pure machine code efficiently to be executed by the processor.
Specifically, B# was developed for small applications. Therefore it can be used on multiple platforms using an Embedded Virtual Machine (EVM) that supports B#.
Furthermore, B# keeps it minimal, mirroring C. Additionally, it retains only embedded project-required features.
Significantly, B# adds support to critical real-time control functions. In particular, if your project is small enough and not complex as Raspberry Pi, then B# is your language.
You can use C with IoT boards like Adruino. Furthermore, C is the language for embedded systems programming. Significantly, its proximity to machine language makes it really fast.
C doesn’t have the processing power of an object oriented pre-processor like C++. Therefore it is used as a pre-processor for C to enable it to run higher level languages.
“Go” is used for data gathering and data distribution to various sensors. Moreover, with Go Lang, you can sort an entire network of sensors and make use of related IoT programming related devices.
Additionally, Go is for concurrent input, output, and processing on several different channels.
If you want a good return on investment then Java is best for you. As an IoT app maker, you should see to that your platform supports Java.
Additionally, you should check if hardware support libraries in use contain required control functions.
A good scripting language needed for front-end web application which works wonders for IoT. This is even truer when you go with Apache server on Raspberry Pi.
Moreover, it involves collecting data from a network of sensors.
Do you need parallel processing for your IoT application? Then Parasil is the best.
Furthermore, Parasil is an evolved language, compiled and object-oriented. Importantly, it can be programmed with C, Syntax, Java or Python.
Moreover, its flexibility allows distribution of compact executable code. Similarly, it can be run through any time compiler for this purpose.
Rust is developed by Mozilla. Importantly, it is now popular among IoT programming languages, especially for concurrent programming.
Learn IoT programming languages right way and step-up your skills and career.
The Internet of Things is slowly impacting our daily life. We are under the influence of a lot of IoT devices.
For example, you have automated transport systems, smart homes, smart cities, wearables and several computational power apps that use IoT.
Learn IoT programming languages right now to make a good choice in a career change.