The Python-based environment that speeds up IoT development time
New Python-based environment enables developers to programme IoT products in as little as 30 minutes
The Python programming language is being increasingly widely-adopted to empower IoT organizations to accelerate their product development. Old approaches are too slow and cumbersome but by allying the simplicity of Python with a simple-to-use python-based environment such as Quectel’s QuecPython for executing Python code, IoT products can be developed in under 30 minutes.
To meet the needs of the market and enable the flexibility required to address project failure, the development cycle must accelerate. The obvious way to achieve this is to remove needless complexity and adopt development practices that are accessible, clear to understand and utilize, and streamline the overall process. Python is in pole position to achieve these goals is increasingly being adopted because of the ease of use it offers and its smoother integration with other systems.
In October 2021, Python moved into the number one slot in the TIOBE Index, marking the first time in 20 years that a language named C or Java wasn’t at the top of the list. 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.
QuecPython: the Python-based environment for developing in the IoT
Development emphasis has been on Python’s simple syntax which makes it both easy to learn and easier to read, thereby reducing the cost of development and maintenance. Python also offers object-oriented programming with extensions written in C or C++. For these reasons, developers utilize Python to create applications in Python for mobile, desktop and web deployments.
Quectel has developed QuecPython they python-based environment to make it even easier to use this programming language. The QuecPython environment enables developers to power a new type of openCPU 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 chages 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. QuecPython also enables 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.
In IoT, as companies put pressure on their technologists to get to market quickly and iterate and develop from proofs of concept through to pilot projects and beyond, the development race has never been tighter. Python goes some of the way to simplifying, streamlining and democratizing IoT development but the adoption of QuecPython makes the process of developing on Quectel modules even more straightforward – and faster. 30 minutes is quite literally enough to complete product development with QuecPython. To learn more about how Python is being applied to IoT development and how QuecPython can turbocharge your product development, visit: quectel.com/library/quecpython-white-paper