16 Reasons to Choose Python Software for Your Next IoT Project

  • Kevin Oskow
  • July 13, 2022
  • 11 Minute Read
16 Reasons to Choose Python Software for Your Next IoT Project

The Internet of Things vision has evolved over the past few years from a theoretical idea to a top priority for many enterprises. In 2030, there will be more than 25.4 billion active IoT devices. By 2025, 152,200 IoT devices will be connecting to the internet every minute, according to a study. For the development of IoT devices, many developers prefer the use of Python software. We can use a functional and useful version of MicroPython to work on systems with limited computing power and so at a very low cost.

Python is the basis of most of the interfaces of intelligent and efficient Internet of Things (IoT) systems. Python is essential for machine learning, big data, automation, and remote sensor networks. The Python programming platform is a fantastic choice for both the backend and device software development in the IoT. Linux-based devices can run Python, and we can use MicroPython with microcontrollers.

But first, let’s find out what exactly IoT is.

What Is IoT?

The network of physical items, or “things,” that are implanted with sensors, software, and other technologies to communicate and exchange data with other devices and systems through the internet is referred to as the Internet of Things (IoT).

These gadgets include anything from common domestic items to high-tech industrial gear. Today, there are more than 7 billion connected IoT devices, and according to analysts, there will be 10 billion by 2020 and 22 billion by 2025.

Python Software for IoT (Internet of Things)

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IoT has emerged in recent years as one of the most significant 21st-century technologies. Continuous communication between people, processes, and things is now possible thanks to the ability to connect commonplace items – such as household appliances, automobiles, thermostats, and baby monitors – to the internet via embedded devices.

Low-cost computers, the cloud, big data, analytics, and mobile technologies enable the sharing and collection of data by physical objects with a minimum of human intervention. Digital systems can record, monitor, and modify every interaction between connected entities in today’s hyper-connected environment. The physical and digital worlds collide, but they work together.

What Is Python?

Python is an interpreted, object-oriented, high-level, dynamically semantic programming language. It is particularly desirable for Rapid Application Development as well as for usage as a scripting or glue language to tie existing components together due to its high-level built-in data structures, dynamic typing, and dynamic binding.

Most software for Python development offers straightforward syntax, prioritizes readability, and makes it simple to learn, which in the long run lowers the cost of program maintenance. Python software’s support for modules and packages also promotes the modularity and reuse of code in programs.

What Is Python as a Programming Language?

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The edit-test-debug cycle is extraordinarily quick because there is no compilation step. Python programming platforms are simple to debug since a segmentation failure is never caused by a bug or incorrect input. Instead, the interpreter raises an exception when it finds a mistake. The interpreter prints a stack trace if the application doesn’t catch the exception.

Regardless of their level of experience, programmers from various backgrounds make major contributions to the language. Python has a developed ecosystem of both free and paid tools, such as frameworks, integrated development environments (IDEs), and linters. The richness and breadth of the modules supplied by PyPI and Conda will cover almost every subject.

16 Reasons to Choose Python Software for Your IoT Project

Python is the programming language that is regularly utilized by software development organizations to create both simple and complicated applications, according to the Stack Overflow Survey.

Python Software - The Most Popular Programming Language as per Google!

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Let’s talk about the advantages it offers and why it’s a smart decision for IoT development.

1. Quick Development

The object-oriented language model is the basis of the Python programming language. It can effectively manage the IoT process in this way. Through its unit testing structure, the language has the ability to handle text. A secure, reliable, quick, and IoT interface when all these properties are integrated with web development.

Because they can provide a better solution, IoT developers prefer Python software frameworks. Python is an interpreted language, and therefore, after making modifications to a program’s file, you can run the program right away. This results in programs being finalized, processed, and debugged far more quickly than in many other languages.

2. Free and Open-Source

Python software is an open-source programming language that is supported and managed by the Python Software Foundation. As a result, the language can be used freely, and programmers are allowed to modify it and share it with other programmers in the community. Everyone in the industry is welcome to join the community of Python developers. For this reason, the Python community supports, expands, and provides open-source Python databases.

There are very few problems and defects to deal with while developing Python-based mobile, software, IoT, or online applications. In addition, compared to other widely used programming languages, the language also offers security. Plenty of developers choose to employ the Python Software framework to considerably reduce costs.

3. Low Entry Threshold

Because of its low entry threshold, Python is also without a doubt a very beginner-friendly programming language that is suggested for anyone who wishes to start programming with some basic skills. It’s interesting to note that English text can be read as a development Python code. As it offers a straightforward way to deal with challenges and presents excellent chances, it is simple to learn and operate with. Since Python was initially developed as an object-oriented programming language, you can construct any kind of extension for it or incorporate it into other programs to provide certain functionality.

The rules aren’t rigidly established in Python because it is a flexible, dynamically typed language, which makes it easier to understand. It is a more tolerant language that can function with some fault. However, the Python programming platform is not just for simple tasks. It supports some of the world’s most intricate websites and applications.

Python software supports both a procedural-oriented programming language and all the characteristics of an object-oriented programming language. Python’s popularity among developers, data scientists, and software engineers is therefore no accident.

4. Enhanced Productivity

Python’s class mechanism adds classes with less new syntax and semantics than other programming languages. It combines the class mechanisms of Modula-3 and C++.

A derived class may override any methods of its base class or classes, and a method may call a method of a base class with the same name. Python classes offer all the standard features of object-oriented programming, including the ability for multiple base classes under the class inheritance mechanism.

5. Flexibility

From websites to web applications to systems management, voice over IP, Internet of Things devices, and desktop software, Python is utilized in a wide range of industries and for a long list of various purposes. 

Python software is well suited to the quick development of all types of applications because it was not initially designed to address a particular requirement and is therefore not driven by templates or particular APIs. As a business specializing in innovative web development, programmers value this flexibility a lot. It is ideal for IoT devices as there is a wide range of devices and applications. Even when hiring a python developer, it is ideal to hire developers who have experience and flexibility with different versions and frameworks that are suited to your project. 

6. Compatibility

Python is compatible with all major operating systems. Much like Linux, Python is available in a variety of distributions. But unlike Linux, Python provides a single, “official,” gold-standard edition that you can always rely on – CPython, the version made available by the Python Software Foundation at python.org.

7. Easy-To-Read Syntax

Python is reasonably simple to learn since its readability and other structural components are made to be simple to understand, especially for English speaking. For novices, this is a fantastic first or second language. A programmer may concentrate on what to do rather than how to achieve it with Python because it is a high-level language. This is a key factor in why Python is quicker to write programs than other programming languages.

Coding with Python Software for IoT

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Software for Python development allows for scripting, and therefore, it can be used to create extensive commercial applications. Python’s appeal in the IT industry is primarily due to its dependability. Python is a high-level programming language that allows the user to concentrate on the essential operations of the application. While this is happening, the language itself does the typical programming duties.

8. Portability

The Python programming language is also portable. For instance, if we already have Python code written for Windows and wish to execute it on Linux, Unix, or Mac, we can do so by making no changes to the code.

Python software makes use of readable structures that are eventually converted into low-level languages, the original code that is executed by a computer’s central processor unit (CPU). A programmer uses a high-level language, and the written code is then translated into a low-level language. Python must be processed before execution, same as C++ or Java. This makes Python portable, allowing it to function almost entirely unchanged on various types of machines.

9. Testing

Given that Python has a low entry barrier as a programming language, getting started with automation testing with it is simple. Python is the greatest scripting language for test automation because it can be used for both simple and complex applications.

The greatest scripting language for test automation is, without a doubt, Python. Python test automation is simple to use and offers a variety of test frameworks that may be used for unit testing, cross-browser testing, and other purposes.

10. Well-Designed

Python incorporates cutting-edge programming concepts from the ground up. It is evolving dynamically; the process of adding new constructions is being debugged, and it keeps absorbing techniques from aspect-oriented programming, functional programming, and other areas while being internally consistent and backward compatible.

11. Algorithms and Calculations

There are many pre-defined constants available in the Python math module. Access to these constants has a number of benefits. One benefit is that you can save a lot of time by not having to manually hard-code them into your program. Additionally, they ensure consistency across your entire code.

Python uses two of the most fundamental ideas in computer science: data structures and algorithms. They are crucial resources for any programmer. In Python, data structures are used to organize and store data in memory while a program is processing it. Python algorithms, on the other hand, relate to a thorough collection of guidelines that aid in the processing of data for a particular objective.

12. Support for Universal External Libraries

An external library is a specially created collection of objects, functions, and other things that were created to avoid having to build code from scratch. There are hundreds of thousands of external libraries, and they offer a huge range of capabilities.

The standard library includes several of these libraries. This indicates that they don’t require installation because Python has already installed them. This has the advantage of giving all Python users access to the same libraries.

Python’s external libraries provide substantial data science potential. Numerous data science libraries provide considerable advantages for machine learning, data analysis, and visualization. You can rely on the existing functions rather than developing each one from scratch.

13. Enables Easy Integration

Python has incredibly solid solutions for integrating with languages like C++, Java, Rust, and Go. It also has native support for C. That “glue language” quality of Python is possibly its strongest asset when it comes to interfacing with already-existing technology. Python app development can simply leverage Python’s REST API or FFI (Foreign Language Interface) to connect current technologies and systems together rather than completely rewrite them.

An organization can have two teams working simultaneously on the same project because of this flexibility to combine existing technologies. Both teams are able to work independently using the technology and language that they feel most at ease with, and they can subsequently use Python to integrate the results of their work.

14. Cost of Development

Any desktop or laptop can use Python because it doesn’t require a specific subscription or a specially developed platform. The supporting means, modules, and libraries that are required for Python writing are all totally free. It is simple and cost-free to get the IDEs, often known as integrated development environments, which comprise PTVS, Pydev with Eclipse Spyder, and Python software

15. Community Support

Millions of software engineers worldwide use the Python programming language, and they communicate both online and offline in tens of thousands of virtual and real places. Tens of thousands of Python developers organize local, regional, and international events to guide the community. Most of them, if not all of them, belong to the Python Software Foundation (PSF). Anyone who utilizes Python and is actively involved in the Python community is welcome to become a member of the PSF. PSF members fall into one of five categories:

  • Standard Members
  • Participating Members
  • Sponsor Participants
  • Controlling Members
  • Contributory Fellows and Members

The Python online community has excellent learning resources, but speaking with other developers in person at conferences, meetings, and hackathons is an essential method of learning new things.

16. Easy to Debug

One of the most widely used programming languages is Python. Therefore, it provides a variety of tools that you can use to debug your code, which is far more effective and practical than adding a print statement after every few lines of code.

You can add breakpoints to your code and execute it in debug mode using the command-line debugger known as PDB. It is very similar to using the print statement to use these breakpoints to investigate your code and the stack frames. By importing the PDB at the beginning of your code, you may begin using it.

What Are the Best Solutions for IoT in Python?

Prototypes or actual Internet of Things (IoT) systems frequently need to be created fast and effectively. When this occurs, two processes are launched right away: setting up an IoT backend and programming the connected devices.

Best Solutions for IoT for Python

Let’s look at how you can use Python to program Internet of Things (IoT) devices and build a backend to make them function.

Python on Raspberry Pi

When considering running software for python development on an IoT device, the first thing that comes to mind is removing your beloved Raspberry Pi off the coffee table. The operating system already has Python installed, so all that is left to do is create your own script.

In this instance, you have control over the Raspberry Pi expansion bar’s I/O ports. Thankfully, the board has Ethernet, Bluetooth, and WiFi capability. You can also use the HDMI outputs to connect a monitor, a Raspberry Pi-specific 3.2″ 320×240 TFT LCD, or a low-power E-Ink 2.13″ 250×122 display.

Prototypes or actual Internet of Things (IoT) systems frequently need to be created fast and effectively. When this occurs, two processes are launched right away: setting up an IoT backend and programming the connected devices.

Python on PyBoard

The PyBoard with an STM32F405RG microcontroller is the next fantastic Python IoT device option.

A portable and potent electronics development board that uses MicroPython is called the PyBoard. It has a USB flash drive for storing development  Python scripts and a serial Python prompt (a REPL) for immediate programming. It connects to your PC via USB. Linux, macOS, and Windows all support this.

The Python (version 3.4) programming language has been completely rewritten as MicroPython to work on microcontrollers. It consumes a small amount of RAM and has various efficiency enhancements.

On the PyBoard, MicroPython runs bare-metal, effectively offering you a Python operating system. The built-in PYB module includes classes and functions for managing the board’s UART, I2C, SPI, ADC, and DAC peripherals.

The board is an astounding two quarters in size, measuring 33 mm by 43 mm, yet it weighs only 6 grams.

ESP8266, ESP32 with Micropython

Python may be run on ESP8266 and ESP32 if you need to build an IoT device with excellent capabilities, low battery consumption, and integration with wireless WiFi networks. Specifically, MicroPython.

You can use the pip install esptool command after installing Python software on your PC. Installing MicroPython is really easy. Simply download the firmware from the website, use esptool to install it, and remember to format the board beforehand.

There are already a lot of IDEs available for Micropython development. An ESP8266 or ESP32 microcontroller is used to carry out the full development process after which it is compiled and saved in memory.

Conclusion 

The world will alter thanks to the Internet of Things. The next industrial revolution will start once everything is connected via sensors and cloud computing. Our lives are being progressively populated by smart gadgets, making it seem like the ideal time to introduce a new IoT product. So make sure you choose the best coding language and perform everything to the highest standard. And if you’re looking to hire Python developers, it is a good idea to vet them on the different functionalities of Python.

Python programmers are given a powerful tool, but they are not required to follow a particular paradigm. Python’s deliberate modularity and scalability, along with its clear and uniform syntax, make it easy to read the source code of applications created in this language. 

Python and IoT FAQs

How is Python used in IoT?

When it comes to IoT, Python becomes a fantastic option. It can be applied to both the backend and device software development sides of development. In addition, MicroPython is available to use with microcontrollers on Linux-based devices.

Is IoT hardware or software?

Hardware and software components are both used in the implementation of IoT devices. To implement the interface with the physical environment and to carry out more computationally intensive operations, specialized hardware components are employed. Software that interprets inputs and operates the system is run on microcontrollers.

What are the Python packages for IoT?

Python libraries and packages, such as the following, enable IoT applications to operate effectively:

  • Numpy
  • Sockets and MySQLdb
  • Matplotlib
  • Requests, Tkinter and Tensorflow

What is IoT?

The network of things (physical devices) that can be connected to the Internet to gather and distribute data without human-to-human or human-to-computer interaction is referred to as the “Internet of Things.”

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Kevin Oskow

Kevin Oskow

VP, Client Success
A proud father, husband & aspiring pianist, he enjoys all the hiking San Diego offers.

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