There is no right programing language in computer science: every company and every developer have their own preferences. Besides, not all languages can support certain types of projects.
But Python has been gaining more adaptors over the years, especially in projects involving data science, machine learning, and web development. The language focuses on code readability, which makes it easier for programmers to learn and projects easy to maintain.
It’s no surprise that IT companies, fintechs, startups and other businesses are hiring software engineers with this sort of knowledge.
Companies are looking for professionals that can work with Python because of its versatile features. It can be used in many operating systems, such as UNIX, Windows, Mac OS and Linux.”One of the major benefits of Python is that it is free and open source. Because of this, it is easy to learn and has ton of resources, many of which are geared towards statistics and data science”, says MIT student Alexandra Rodriguez.
Here are some features you should be aware of:
Even though it’s been over 25 years since its release, the programming language has undergone numerous updates and many new features have been introduced. As of now, companies are using Python 3.5 mostly for data science and machine learning projects.
Python is currently one of the best programming languages for scientific programming because of its many available resources, such as libraries geared towards the sciences, statistics, and math. “It has many machine learning and statistics libraries and frameworks available. Add this to a massive and helpful community and you have everything you need for working with data science and ML”, says Matheus Gonzaga, Data Scientist at Poatek.
No wonder it’s used by big players, such as Google, Facebook, NASA, and IBM. Python isn’t just a momentary trend, but the future of Big Data and Machine Learning.
There are many courses that can teach you new techniques to enhance your skills – and most of them are online!
The best way to gain experience, though, is directly working on projects that require Python skills. Many IT companies are looking for professionals interested in new challenges, so looking for new opportunities might be the best way to learn.
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