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Is it really possible to develop IoT solutions in under 30 minutes with Python?

From modest roots, the Python programming language has become widely accepted and is increasingly favoured by IoT developers. As an interpreted, object-oriented, high-level programming language with dynamic semantics, Python’s high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for rapid IoT application development, as well as for use as a scripting or glue language to connect existing components together.

In addition to its adoption for IoT, Python has become the most popular programming language for data science and machine learning and is one of the most popular programming languages of all. Although much of the initial use has been focused on data science, Python is highly versatile and can be used for a wide range of tasks such as artificial intelligence (AI), natural language processing (NLP) and robotics automation. In addition, the language is also used for data analysis and visualization.

In IoT, the readability and simplicity of Python in addition to its versatility and familiarity makes it attractive to a wide range of developers. The language is used by programmers, network engineers and workers from outside traditional computing disciplines who find its user-friendly attributes appealing. The appeal doesn’t stop there because a growing ecosystem of tools and solutions to help developers that use Python has emerged.

Using QuecPython to develop IoT solutions in under 30 minutes

Among recent innovations, is QuecPython, a programming environment to help developers create solutions in less than 30 minutes, utilizing Python to power a new type of open CPU development method. By using Python as the development language for an IoT project, users can access NLP, a rich application framework and object-oriented design. This enables them to develop in Quectel’s IoT modules directly and simply.

QuecPython has several substantial advantages in comparison to tradition programming methods. QuecPython is a cross-platform system that requires no application code changes and can seamlessly switch between multiple Quectel IoT modules. With scripting language development, there is no need to compile because what you write is what you get, and QuecPython also enables integrated writing and debugging and dynamic loading of scripts, ensuring simpler and more flexible application upgrades. Finally, and in common with Python itself, QuecPython is easy to learn and use.

Quectel also offers a series of QuecPython developer tools to help users master the technology. These include the Helios software developer kit (SDK) and toolchain. This is for advanced developers and more drivers and algorithms can be added to the bottom layer of the system. The features of a QuecPython virtual machine can be configured on demand.

QuecPython Masterclasses

A recent Quectel Masterclass explains how QuecPython can benefit developers and accelerate their IoT deployments. Titled, ‘Accelerating IoT deployments with QuecPython’, the Masterclass shared how Quectel’s low-code approach greatly simplifies the steps required to help realize new functionality, whilst maintaining high security standards that are underpinned by network identity authentication and data encryption. Presented by Edward Huang, an LTE Product Manager at Quectel and Ethan Bi, a QuecPython Software Project Manager, the Masterclass explains why more IoT developers are turning to Python and showcases the advantages of the QuecPython environment.

To view our Masterclasses on QuecPython, please visit:  https://www.quectel.com/masterclass-library/quecpython and

https://www.quectel.com/masterclass-library/quecpython-iot-programming

To view the QuecPython white paper, please visit: https://www.quectel.com/library/quecpython-white-paper