Why Python over other languages?

python
Python is a general-purpose language, so you
can do everything with the right tools and libraries. A
dynamic, object-oriented and versatile programming
language is easy to learn, use and apply a clear and
consistent syntax. When Guido van Rossum was creating
python in the 1980s, he made sure to design it to be a
general-purpose language. One of the main reasons for
the popularity of python would be its simplicity in syntax so
that it is easy to read and understand even by amateur
developers.

The python language is one of the most accessible programming languages
available because it has simplified syntax and is not complicated, which gives more emphasis on natural language. Due to its ease of learning and usage, python codes are easy to write and executes much faster than other programming languages. Python Programming language is heavily backed by Facebook, Amazon Web Services, and especially Google. Due to its corporate sponsorship and big supportive community of python, python has excellent libraries that you can use to select and save your time and effort on the initial cycle of development. All their stuff is included in the standard library, however, except it, there are many other libraries available. The Python community has created a huge pile of various libraries for python. With their help, you can manage documentation; perform unit testing, databases, web browsers, email, cryptography, graphical user interface and many more things. Ask any python developer, and they will whole heartedly agree that the python language is efficient, reliable, and much faster than most modern languages. Python is used in nearly any kind of environment, and one will not face any kind of performance loss issue irrespective of the platform one is working.

Python is used for web, desktop applications development, automation scripts, complex calculation systems, scientific computing, and life support management systems, Internet of Things, games, robotics, natural language processing and many more. Professionally, Python is ideal for web back-end development, data analysis, artificial intelligence, and scientific computing. Many developers have also used Python to create productivity tools, games and desktop applications. Python programming culture has responded resonantly towards the emerging demands of application development and web paradigms including database management tasks. Python’s framework is designed as robust & flexible. The developers, however, need to gain insights into the functional interfaces that underpin its structures, interpreter and library. In all python is an all-round language that is used for small programs to high-level machine learning algorithms.