The Impact of Python: How It Could Rule the AI World?

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Hold your head up high! The rise of artificial intelligence (AI) and machine learning (ML) are poised to bring a new era of civilization and not destroy them.

Yet, there’s fear that technology will displace the current workers or tasks, and that’s partly true. As predicted by researches, the speed at which AI is replacing jobs is bound to skyrocket, impacting the jobs of several workers such as factory workers, accountants, radiologists, paralegal, and truckers.

Shuffling and transformation of jobs around the workforce are being witnessed, thanks to the technological epoch.

But hey, we’re still far from Terminator.

What can be the odds?

The fear is good, perhaps it is only a matter of time before AI and automation will replace the jobs of millions of tech professionals. A 2018 report by the ‘World Economic Forum’ suggested that around 75 million jobs will be displaced due to automation and AI in the next five years. The good news is, despite these many jobs will be replaced, at the same time, there will also be a creation of 133 million newer job roles for AI engineers and AI experts.

Simply said, within the next five years, there will be near about 58 million newer job roles in the field of AI.

Instead of worrying about AI and automation stealing your job, you should be considering how you need to reshape your career.

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AI and machine learning projects are now leading every industry and sector into the future of technological advancements. The question is, what are the best ways for you to bring these experiences into reality? What are the programming languages that can be used for machine learning and AI?

Think ahead, you can start by considering Python for machine learning and AI.

Python is the foundational language for AI. However, the projects do differ from a traditional software project, thus, it is necessary to dive deeper into the subject. The crux of building an AI career is by learning Python – a programming language that is loved by all because it is both stable and flexible. It is now widely used for machine learning applications and why not, it has become one of the best choices across industries.

Over here, we will list down why Python is the most preferred programming language by AI experts today:

It is often a tricky task to choose what best fits while running an ML or an AI algorithm. It is crucial to have the right set of libraries, a well-structured environment for developers to come up with the best coding solution.

To ease their development timings, most developers rely on Python libraries and frameworks. In a software library, there are already pre-written codes that the developers look up to solve programming challenges. This is where Python’s pre-existing extensive set of libraries play a major role in providing them with the set of libraries and frameworks to choose from. To name a few are: –

With these solutions, it gets easier for the developer to develop your product faster. Even so, the development team needs to waste time finding the libraries that will best suit their project.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.