Why Python is the top choice for IoT Development?

The creation of new algorithms, mastering new information and developing effective and unique solutions have taken centerstage in the lives of programmers in the recent past. A survey conducted by Stack Overflow records that Python is the fastest growing programming language. Developers regularly use the language for creating a variety of applications, both simple and complex. IoT or Internet of Things apps are no exception. In fact, many developers prefer Python over other languages while developing IoT apps due to a variety of reasons. The advantages of python for IoT application development includes:

Python makes IoT simpler

We could have added a section explaining what IoT is, but as developers on top of their profession we are sure you know that all too well. So, let’s get down to explaining what makes Python standout as an IoT programming language.

The very first thing to know about Python is that it is extensively used in a wide variety of use cases where a simple approach helps a lot like:


AI (Artificial Intelligence)


Off course IoT

Though Python works gracefully for such cutting-edge technologies it is not a language created with specific goals in mind. It is a universal language that adopts the multi-paradigm approach. Further, Python works with all programming styles and works like a charm for web development, server, and desktop apps alike.

Python is relatively easy to learn and programming work with the language is similarly trouble-free. It opens new opportunities for developers while providing clear ways to overcome difficulties. Python was originally meant to follow the object-oriented paradigm. This allowed creation of all kinds of extensions. Further, one could also embed it in other apps which let developers add specific functionalities.

In today’s world Python is by far the first choice for business tasks that need to be solved as a priority. Python is extremely popular when large volumes of data and information need to be analyzed like in the case of ML (Machine Learning) and general scientific activity.

Implement business logic in the device level itself

IoT is all set to innovate the tech world like nothing before. Experts foresee numerous IoT “disruptions” both in the business world and in the life of the ordinary consumer. There has been significant investment in the industry, and it is all poised to break out in everyday lives. The development of the IoT industry has been facilitated to a great extent by the breakthroughs made in sensor and wireless technologies. However, as more things become possible, more new tasks that need to be accomplished emerge. To be very brief the IoT world needs the following:

  • Development of communication standards in the IoT network
  • Manage power issues and other problems more efficiently
  • To cut down on the costs associated with integrating sensors successfully

Due to the present-day hindrances, developers must continually develop new technologies which makes design and testing of IoT devices complicated, time-consuming and expensive. Naturally, businesses developing IoT devices often make thorough evaluations of different tech stacks and compare them to each other on several different benchmarks.

In this scenario, Python with its design objective of implementing business logic right at the device level comes as a lifesaver. This is in contrast of high-level programming logic alternatives like Java or C++. With Python developers can do their IoT device tasks with far less amount of involved data and data stored in the cloud.

Quick to code and debug

Python has been quick to identify and address issues faced by IoT developers.

The advantages of python for IoT application development includes:

  • It makes the examination, debugging and code development of IoT devices simple and easy irrespective of whether you are interacting with sensors, creating a project from ground up or working with actuators and accessories. You can also transfer your existing project from one device to another with relative ease.
  • Further, Python being an interpreted language, makes it possible for developers to start apps righting after modifying the code. And that makes development phases like processing, finalization and debugging relatively swift.

Low entry threshold

Python’s structure and auxiliary components are such that one can understand them easily. A developer who knows programming basics would be able to create useful Python scripts in a matter of hours. This means that developers who don’t know Python but are well acquainted with another programming language can master IoT python programming with relative ease.

The language is designed particularly well

Modern programming trends dictated the development of the Python language from the very start and the language has founds its dynamic flow. It is easy to debug new constructs that developers might want to integrate. Throughout its development, Python has been continuously absorbing special functional programming techniques and aspect-oriented programming. It achieves this without losing backward compatibility and internal consistency.

Easily readable syntax

When a programming language’s syntax is simple, it becomes easier for other developers to read and understand the code better. Unlike the contemporary programming languages like Perl, C++ and PHP, Python has an easy-to-understand syntax.

Extensive library set including IoT libraries

Along with making it easier to understand long pieces of native programming code, Python makes it simple to create libraries and make consistent interfaces.

Coming to libraries, Python is particularly suited for IoT development due to how it supports universal external libraries including a significant number of IoT libraries. With the Python development environment PyCharm, you can easily supplement a library with its external file.

It is portable

Python is implemented on all the common OS platforms based on various architectures. It is possible to use Python on Linux, Windows, MacOS and Arduino minicomputers. The developers of the language devoted much thought to the system of dependencies of the language.

Easy testing

IoT developers can with Python test particular code chunks upon being complied. Other languages require developers to write a full program before they can run and test it.

Provision for “lazy” actions

With Python developers can arrange certain “lazy” calculations and algorithms to be performed only if specific criteria are met. This improves loading and response times.

Python frees software developers from programming paradigms without losing any of the power of the programming language. The clarity and consistency of the syntax, well-thought and executed modularity, extensive libraries, easy debugging and implementing business logic on the device are some of the main reasons IoT developers prefer the language.

IoT promises to usher in, yet another industrial revolution and our lives are increasingly becoming intertwined with smart and connected devices. Python gives developers to come up with their own IoT tools and products to enrich their lives and stretch the boundaries of possibilities further.

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