Why Python is So Popular with Developers

Python is being considered a popular programming language created by Guido van Rossum and released in the year 1991. It is used to offer great tools for data crunching and preparation, as well as for complex scientific data analysis and modeling. 

Python at present scenario has multiple implementations including Jython, scripted in Java language for Java Virtual Machine. 

In the present time, most of us want to know, “Why is Python so popular than other programming languages”? The few important aspects related to the popularity of the Python language; I am going to discuss here make it unique from another language.

Easy to Learn and Use:

In most of the cases when one is willing to continue to Python then most often, they need to know How to get start it? But In the case of Python, it is very simple and lucid. 

Due to its simplicity and mode of effectiveness, Python has become a very popular language. Despite this, it is also used to have the following facts which make it more popular such as  

1. It is incredibly easy to use and learn for new beginners and newcomers as it has simplified syntax and is not complicated, which gives more emphasis on natural language. 
2. It is one of the most accessible programming languages available because python codes can be easily written and executed much faster than other programming languages. 
3. The most effective version is called IronPython which is written in C# for the Common Language Infrastructure, and the PyPy version is written in RPython and translated into C. 
4. As most of the Python modules work on community development models and are open-source and free so they are widely get accepted worldwide.

Python Community is Efficient and Flexible:

When we are going to consider the Python Community then it is very Efficient and Flexible in terms of its scope and functioning.  Python is basically get operated by a community-based approach and that makes it unique from another language. 

1. As we know, the concept of Python is very old almost more than 30 years. But still, it is having a more Mature and Supportive community of programming language.
2. It is used to support the concept of Peer- to -Peer learning strategy which is having plenty of documentation, guides line rules, and relevant Video Tutorials.
3. By using the above the learner and developer of any skill level or age can be able to start learning Python.
4. Many learners are introduced to computer science only through Python language in most of the education fields, which is the same language used for in-depth research projects.
5. The python developer community is one of the most incredibly active programming language communities.

Python Basics you need to Know before you proceed

Corporate Sponsors for Python Community:

As we know that every language has its own sponsors like, PHP is backed by Facebook, Java by Oracle and Sun, Visual Basic & C# by Microsoft similarly Python has many renowned Corporate Sponsor, so it has a wide range of renowned sponsors who are helping them so that the Programming languages grow faster.

1. Python Programming language is heavily backed by Facebook, Amazon Web Services, and especially Google.
2. It sounds more interesting that Google adopted the python language way back in 2006 and has used it for many applications and platforms since then. 
3. Google had created a dedicated portal only for python to make it more sophisticated and better for the developer as well as for the new learners. 

1. It has an excellent collection of libraries that you can use to select and save your time and effort on the initial cycle of the development of applications.
2. It has lots of cloud media services that offer cross-platform support through library-like tools, which can be extremely beneficial.
3. It is used to provide the libraries like nltk for natural language processing or scikit-learn for machine learning applications.
4. For Data Visualization we need to use the 2D and 3D plotting charts and graphs in the matplotlib library.
5. The SciPy is the most robust library which is being used for science and mathematics-based application development.
6. It has a Beautiful Soup for HTML parsing and XML-based applications.
7. For scientific-based computing application development, we can use NumPy. 
8. It also has a good complete collection of frameworks for both Front end and backend development process, such as for server-side web application development we can used the most enhanced Django, flash framework. 
9. It also used to offer better platform for more application development in Bigdata computing, Cognitive Computing and NLP based application development.