As data analysis, AI and Machine learning become more critical to the engineering industry, so too does the use of Python. With the growth of digital technologies, traditional engineers see a considerable change. But why is Python for engineering the perfect match?
Python – the engineer’s language
There can be no doubting that the popularity of Python has grown substantially over the last few years. It’s widely recognised as one of the world’s most popular languages and is growing in popularity among engineers.
No matter what line of engineering that a person is in, it should be noted that data plays a crucial part. We’re not just talking about a small bit of data here. It’s an engineers role to “apply the principles of science and mathematics to develop economical solutions to technical problems”.
Python is renowned for its use in automation, AI, machine learning and much more. As a language, its applications have proven themselves in reducing the workload for engineers. For example, let’s say that you are working on a numerical analysis involving linear and differential equations. As any engineer could tell you it would take a significant amount of time to solve these problems analytically. And then, if you add in boundary conditions, things can become even more complicated. However, this is where Python comes in. By using available libraries, you can solve problems like these in a matter of seconds.
Easier to learn
Another reason for engineers (and everyone else) opting for Python is that it is a relatively easy language to learn. Its syntax is simple, and it is a far less complicated language to use and learn than Java, for example.
But what about MATLAB?
MATLAB is very useful and popular among engineers, but is it as accessible as Python? However, MATLAB is closed-source software, which can be expensive to use – especially when you decide to add extra toolboxes for specific projects. Meanwhile, Python is open-source. This means that it is free, and anyone can use it. Another huge bonus is that there is a myriad of libraries available to use with it. It is a hugely diverse and inexpensive language.
For engineers who fear that the libraries available for Python aren’t enough, here’s an equivalent free resource of tools for Python – Matplotlib. Other engineering libraries would include, NumPy, SciPy, and pandas.
Learn Python for engineering
There are many more reasons why you should learn Python for engineering. However, it’s versatility and usefulness in automation, and artificial intelligence should be among the top reasons for engineers learning it. Another massive benefit is the fact that it offers a wealth of free tools and libraries that can quickly assist any major or minor project. This is why outlets like Interesting Engineering rated it as one of the most important languages to learn in 2019. Likewise, it’s why Towards Data Science and DEV rank it as an essential language to learn for Artificial Intelligence.
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