Over the past few years, Python’s simple syntax and steady learning curve has seen it become the fastest growing language throughout the coding communities. This has been largely attributed to increased adoption of machine learning technology across the world and Python’s vast library that can solve many of the problems engineers face.
Digitalisation is the increase of automation and data exchange that requires both engineers and IT professionals to work in tandem to help create a smart factory that runs more efficiently, effectively and autonomously. The Python language excels in areas such as artificial intelligence, data science and testing, three developments that are helping to revolutionise factories across the world.
As Industry 4.0 continues to develop, the role of the Engineer will move even closer to that of an IT professional and coding will continue to reinforce its position as an essential tool.
Industry 4.0 is also placing a huge emphasis on machine learning, which is allowing vast amounts of data to be collected in a short amount of time. Python is the best-equipped language to process these large quantities thanks to its solid frameworks, and is typically preferred by data scientists.
The coding language also offers a wide variety of libraries that can easily process complex sets of data and they cover a wide variety of specialisms. For example, Shogun, PyLearn2 and PyMC are all built for machine learning, while csvkit, PyTables and SQLite3 can be used to visualise and store data.
Alongside this, a steady learning curve makes Python an easy programming language to learn. This means that any engineers who need to adapt their role and learn the coding language should be able to do so with the right training and enough practice.
The role of the engineer is evolving and with automation and other aspects of Industry 4.0 being embraced across the world, the role of the engineer is quickly requiring an increased proficiency in IT skills—if not at least an understanding.
Many engineers throughout the industry currently use Matlab and the benefits it offers through simulation make it a valuable tool. However, the freedom offered by the object-oriented Python has swiftly made it a favourite throughout every relevant industry, including IT and engineering.
As Industry 4.0 continues to be implemented across the world, the role of the engineer is slowly evolving and new IT skillsets are becoming increasingly important. Digitalisation is a key factor in the application of the next industrial revolution and Python’s wide range of libraries, ability to automate tasks and the handling of big data will make it invaluable to engineers.
To embrace new technologies and continue to build their careers in the industry, engineers are going to have to ensure that they are ready for the new challenges in digitalisation. Considering Python is going to be widely used across automation and how easily it can be taught throughout a business, engineers are going to soon be working closely with the coding language as it continues to grow as the world’s most popular coding language.