4 Reasons for Learning Python

Developed by Guido van Rossum and first released in 1991, Python is one of the key languages employed by Google. 

In other words, one of the most robust and powerful programming languages being used today is Python. It emphasizes a lot on code readability and because of its syntax and implementation, coders have to write lesser codes in contrast to C++ and Java. Management of the memory in Python is done automatically and numerous libraries are accessible for the programmer here. 

Python programming carries numerous techniques such as functional programming, dominant and object-oriented styles. Here are the four reasons why every coder must master the Python language:

  1. Preferred language for web-development: Python comprises a collection of structures that are useful in creating a website. Among these frameworks, Django is the most successful one for python development. Due to these structures, web design with Python has immense versatility. 
  2. It is comparatively easy: Python has been developed keeping the rookie in mind. Achievement of basic tasks needs a more concise code in Python, as opposed to other languages. The systems are nearly 5 times smaller than C++. Python codes are readily understandable and with a little bit of learning, new coders can learn a lot by just looking at the program.
  3. It is ideal for entrepreneurs: Entrepreneurship is all about saving time and working under a strict budget. One can build a product that distinguishes itself from the rest in any language. However, for quick development, less cost and simple code, Python is the perfect language. Python can quickly scale up any complicated application and can also be controlled by a small team. You can not only save resources but you can also produce applications in the correct direction with Python.
  4. Universal availability of support and testing framework: Numerous Python resources are accessible today, and these are continually updated. As a result, it is very unusual that a Python developer gets stuck. The broad standard library provides in-built functionalities. Its built-in testing framework allows quick workflows and short debugging time.

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