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Wondering why Python is taking over the world? Here’s the tea.

For years, the world was used to single-purpose programming languages, and developers had to spend years learning different complex coding structures to be able to gain new opportunities in different fields.

However, today Python has flipped the scene and created a very versatile, futureproof, and easy-to-use coding language that most developers can pick up and start using in less than 12 months.

Python is way older than anyone remembers.

Contrary to popular belief, Python has been around for over 30 years now, which means that the community for it online is now more mature than ever, and more supportive than ever, creating more ambitious open-source projects and sharing them on a daily basis for the entire community to thrive.

It’s the closest thing we know to a Fool-Proof Coding language.

This is one of the most inviting aspects of Python, as well as its simplicity, efficiency, and reliability. It’s not the fastest language in the world, but it takes the compiling process out of the equation, which means that it minimizes computer run time and provides a much smoother experience for the end-user.

When in data, use Python.

Python shines the most when data is involved. In AI, data science, and data analytics, Python can bring a lot of flexibility and support to the table, as it comes with a lot of built-in functions that are suited specifically for data science and data frameworks.

It’s perfect for IoT applications.

And with the rise of IoT technologies, a lot of microcontrollers and wirelessly connected devices used in businesses and smart homes use Python to optimize their function, control their commands, and create a cohesive system that works together flawlessly.

The market is thriving with Python opportunities.

On the professional side of things, there are 13,000 Python career opportunities advertised every month online, with the average salary being $150,000 worldwide, making it a very sought-after career by junior and senior developers alike.

If you’re looking to learn more about Python and recruiting Python experts with ease, browse more of our blog!


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