Why Python Programming is the Future?

What is Python Programming?

Python is a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. The syntax in Python helps the programmers to do coding in fewer steps as compared to Java or C++. Python is widely used in bigger organizations because of its multiple programming paradigms. It has a comprehensive and large standard library that has automatic memory management and dynamic features. Python can be used for many purposes, web development, mobile app development, data science, game development, system administration, etc. The language’s flexible approach lets developers easily switch between object-oriented, structured, and functional programming paradigms and handle large amounts of unstructured data. 

Why is Python the future programming language?

  • Free 

Python is an open-source programming language, it is free and available to all for use. Its codes can be employed by anyone across the globe, over the internet. 

  • Mature and Supportive Python Community 

Python was created more than 30 years ago which is a long time for a community of programming languages to grow and mature to support developers ranging from beginner to expert. Tutorials for Python are available that learners and developers of any skill level can use to receive the support required to enhance their knowledge in python programming. If anyone has an issue with the python language, they can get instant support from developers of all levels. 

  • Support from Renowned Corporate Sponsors

Python is used by some of the major names in technology: Uber, Paypal, Google, Facebook, Instagram, Netflix, Dropbox, and Reddit. Programming languages grows faster when a corporate sponsor backs it. Google adopted the python language in 2006 and have used it for many applications and platforms since then. Lots of Institutional effort and money have been devoted to the training and success of the python language by Google. They have created a dedicated portal only for python.

  • Hundred of Python Libraries and Frameworks 

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. 

There are many frameworks and libraries are available for python language, such as the following:

    • Matplotlib for plotting charts and graphs
    • SciPy for engineering applications, science and mathematics
    • BeautifulSoup for HTML parsing and XML
    • NumPy for scientific computing 
    • Django for server-side web development
  • Versatility, Efficiency, Reliability, and Speed 

Python has a really simplistic syntax. A logic that may require 7 lines in a C++ language, can be done in merely 3 lines in Python. As compared to Java, Python allows you to express code easily without the need to write any additional piece of code. Python allows programmers to use English keywords which offers more readability to the written code. 

Undoubtedly, the python language has managed to exceed other computer languages. Python language can be used in many varieties of environments such as mobile applications, desktop applications, web development, hardware programming, and many more.

  • Python is portable and extensible 

Many cross-language operations can be performed easily on Python because of its portable and extensible nature. A code written in Python programming language can run on any operating system. Python supports different Oss, Ubuntu, Linus, Windows, etc. Python can even be used in the Kivy platform to create games for desktop and web applications.

How Machine Learning will create the next batch of jobs in the future?

Machine Learning sits at the core of the Fourth Industrial Revolution for its potential to drastically change the nature of tasks, job roles, and necessary skills. Machine learning platforms automate the task of finding meaningful patterns in data, making it easier to get insights from extremely large data sets. It allows computers to learn automatically without human intervention. It supports the application of artificial intelligence (AI), automation, and vast innovation across industries. Based on a report, it is seen that there’s a 119% AI job increase in sectors such as finance, transportation, manufacturing, healthcare, customer service, and retail.

The Future of Jobs Report found that 73% of all companies are planning to adopt machine learning in some form within the next three years. By some estimates, the potential for new roles in this field is predicted to 133 million jobs. 

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