People think Python is a new popular language. Guess what? Python first appeared in the late 1980s. With that said, let’s see why it has become so popular and one of the elites? And why is it the preferred language for Data Scientists?
Several factors have made language an essential player in many fields, notably that of Data science. Here I list some key factors:
An open source language
When we think of open source we think of freedom, of unlimited potential without an owner imposing his restrictions. Python belongs only to its users and contributors who form a huge global community that continues to grow and contribute to the improvement of the language and its development environments.
If you are a beginner, Python has become the benchmark in national education as the first programming language.
Python is widely known to be an ideal choice for those who want to learn the basics of programming.
Why is it simple language?
- Archi-simple syntax
No need to worry about parentheses, braces, brackets, semicolons, etc.
The syntax of the code uses indentation.
- The types are dynamic:
Python does not force you to specify the type of variable: numbers, strings, arrays. Python will do the work for you. So, don’t worry about it.
- It looks like spoken language
It works on all OS, which is an advantage compared to other languages which are themselves specific to a single environment. It can also be used for various projects ranging from web development to the creation of a neural network. Applications in Python are unlimited. Many companies use Python to build algorithms or apps like YouTube, Instagram, and many more.
Python developers are one of the highest paid developers, especially in data science, machine learning and web development. On average, they are also very well paid.
Finally, the strength of Python comes from the stability, modernity and variety of its development environments.