Here are seven reasons that make the Python programming language so accessible:
Easy to Learn and Use:
Unlike Java and other languages, Python syntax is human readable. Python can handle a lot of complexities by itself, so it is very straightforward for the beginner to learn programming concepts without any problem. The minimum setup is required to use Python.
Active and Supportive Community:
Python was created by Guido van Rossum 30 years ago. Thirty years is a big time to create a big supportive community. There is plenty of documentation, guides, and Video Tutorials for Python language that learners and developers of any skill level or ages can use and receive the support required to enhance their knowledge in the python programming language.
Support from Renowned Corporate Sponsors:
Programming languages grow faster when a corporate sponsor backs it. Python Programming language is backed by Facebook, Amazon Web Services, and especially by Google. The python language was adopted by Google in 2006. Google has used it for many applications and platforms since then. Google has devoted Lots of Institutional effort and money to the training and success of the python language. They have also created a dedicated portal that is only for python.
Python Libraries and Frameworks:
python has excellent libraries that you can use to select and save your time and effort on the initial cycle of development. There are also some extremely beneficial cloud media services available that offer cross-platform support through library-like tools. Libraries with specific focus are also available like NLTK is a leading platform for building Python programs to work with human language data.
Use in big data, machine learning, and Cloud Computing:
Cloud Computing, Machine Learning, and Big Data are some of the hottest trends in the computer science world right now, which helps lots of organizations to transform and improve their processes and workflows. For data science and analytics, Python language is the second most popular used tool after the R language. There are lots of data processing workloads in the organization which is powered by python language only. Most of the research and development takes place in the python language because of its several advantages which include ease of analyzing and organizing the usable data.
Automation of tasks:
Python language can greatly help in the automation of tasks as there are lots of tools and modules available in Python, which really makes things much more comfortable. Anyone can reach an advanced level of automation easily by using the required python codes. In the automation of software testing also, Python is the best performance booster. One will be amazed at how much less time and few numbers of lines are required to write codes for automation tools.
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