Is python so powerful?

Because Python is a language that represents simplicity. In addition, the standard library owned by Python is the reason why financial and marketing people choose it.

Python is easy to learn, reliable and efficient (Recommended learning: Python video tutorial)

Okay, It's "easier" than many other programming languages ​​you can use. Python's language doesn't have many rituals, so you don't have to be a Python expert to understand its code. My experience is that it's easier to learn and teach Python by example than the same way with, say, Ruby or Perl, because Python's syntax has far fewer rules and special cases. It focuses not on the richness of the language's representation, but on what you want to accomplish with your code.

It can build a lot of functions with a small amount of code

Python can bring a fast learning experience to all developers. With practice, you can easily implement a game with basic functions in up to two days (and this is without knowing anything about programming).

Some other factors that make Python a compelling programming language are its readability and efficiency.

Python has one of the most mature package repositories

Once you understand the language, you can take advantage of the platform. Python is powered by PyPI (pronounced Pie-Pie, you can learn about it online here), a repository of over 85,000 Python modules and scripts that you can pick up and use right away. These modules deliver prepackaged functionality to your local Python environment that can be used to solve various problems such as database processing, computer vision implementation, performing advanced data analysis like dimensional analysis, or building RESTful web services. question.

Python is widely used in the field of data science

No matter what job you are engaged in, data will be part of it. IT, software development, marketing, etc. – they are all deeply about data and hungry for wisdom. Data analysis skills will soon be as important as coding skills, and Python will play an important role in both fields. Python, next to R, is the most commonly used language in modern data science. In fact, Python has more job openings than R in the field of data science. The skills you develop while learning Python will transfer directly and be used to build these analytical skills of your own.

Python is cross-platform and open source

Python can run across platforms and has been open source for more than 20 years. If you need the code to be available on both When running on Linux, Windows and macOS, Python can meet the requirements. Plus, it's backed by decades of tinkering and continuous improvements, ensuring you can run your code however you want.

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