Top Reasons for Python to be get Popular in coming years
Introduction:
Python is being considered as a most versatile and popular programming language which was created by Guido van Rossum, in the year 1991. It is more powerful language which usually offer great tools for data crunching and preparation. It also supports the complex scientific data analysis and modelling. In the present scenario of time most of us wants to know, “Why is Python so Popular than other programming languages”?
In comparison to earlier
days now the Python has multiple implementations including
Jython, scripted in Java language for Java Virtual Machine.
Here I am going to discuss
the various factor which makes the Python unique then other language. I would
also like to discuss the most top reasons for a Python to be get popular among
the developer’s choice prospects.
Easy to Learn and Use:
1.
Python language is incredibly very easy to use and
learn for new beginners and newcomers.
2.
The python language is one of the most accessible
programming languages available because it has simplified syntax and not
complicated, which gives more emphasis on natural language.
3.
Due to its ease of learning and usage, python codes
can be easily written and executed much faster than other programming
languages.
4.
Python modules basically works on community
development model and are open-source and free to use.
5.
It has a vast collection of enriched libraries
which helps the developer during the application development.
Efficient and
Flexible Python Community:
1.
Python is very old, more Mature and Supportive community
of programming language.
2.
It has a plenty of documentation, guides and Video
Tutorials which makes it easier to get understand to use, implement for both learner
and developer of any skill level or ages.
3.
These supportive documentations can be used by
anyone to enhance their knowledge in python programming language.
4.
Many students get 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.
Renowned
Sponsors:
1.
The python community is having renowned sponsors
who are help them so that the Programming languages grows faster.
2.
Every language has its own sponsors like, PHP is
backed by Facebook, Java by Oracle and Sun, Visual Basic & C# by Microsoft.
3. Python Programming language is heavily backed by Facebook, Amazon Web Services, and especially Google.
Enriched
Plenty of Libraries and Frameworks:
1. Python has
excellent libraries that you can use to select and save your time and
effort on the initial cycle of development of applications.
2.
It has good collection of cloud media services that
offer cross-platform support through library-like tools, which can be extremely
beneficial.
3.
The python Libraries with specific focus are also
available like nltk for natural language processing or scikit-learn for machine
learning applications.
4.
It also has a good collection of frameworks which
makes it unique in terms of programming environment. Some of the best library
frameworks are listed as below.
5. For plotting
charts and graphs in the applications it provides matplotlib is basically used.
- For engineering-based applications development
we can take the help of SciPy. This library is also used for science, and
mathematics-based application development.
7. It has a
Beautiful Soup for HTML parsing and XML based applications.
Better
Performance like Versatility, Efficiency, Reliability, and Speed
1. The python
language is efficient, reliable, and much faster than most modern languages.
2.
It is more versatility means the python language
can be used in many varieties of environments such as mobile applications,
desktop applications, web development, hardware programming, and many more.
3. The
versatility of python makes it more attractive to use due to its high number of
applications.
- It works on different platforms (Windows, Mac, Linux, Raspberry Pi,
etc).
- It has syntax that allows developers to write programs with fewer
lines than some other programming languages.
- It runs on an interpreter system, meaning that code can be executed
as soon as it is written. This means that prototyping can be very quick.
- It can be treated in a procedural way, an object-oriented way, or a
functional way depending on the requirement of the developer.
Compatibility
with Areas like Big data, Machine Learning and Cloud Computing:
1. 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.
2.
Here the Presence of Third-Party Modules makes it
more useful for developing the high end application development.
3. A Third-party
module is defined as any code that has been written by a third
party (neither you nor the python writers (PSF)). You can use
them to add functionality to your code without having to write it yourself.
4. You all have
experience using modules such as tkinter and csv. These modules are part of a
library of standard modules that came packaged with your install which the
developers have deemed useful or necessary for your daily python usage.
5. It has the another
second most popular used tool after R language for data science and
analytics.
6. Most of the
research and development takes place in python language due to its many
applications, including ease of analysing and organizing the usable data.
7. It is also
used in AI application interfacing like Cognitive Computing and NLP.
8. It also being
used for the GUI based desktop applications, Image processing and graphic
design applications.
Application in
Educations and Research Areas:
1. Now a day the python
language is being considered and treated as the core programming language in
schools and colleges due to its countless uses in Artificial Intelligence, Deep
Learning, Data Science, etc.
2.
It has now become a fundamental part of the
development and research work-based application development across the world.
3. Due to its
extensive facility, it increasing more python Developers and Programmers and
thus further expanding its growth and popularity.
In Automation
industry:
1. Python
language can help a lot in automation of tasks as there are lots of tools and
modules available, which makes things much more comfortable.
2. It is
incredible to know that one can reach an advanced level of automation easily by
just using necessary python codes.
Python is the best performance booster in the
automation of software testing also.