Python is an incredibly versatile programming language that can be used for data science projects, data analysis, machine learning, and data visualization.

1. Do You Know About Python Why Most Popular Today
Python is an incredibly versatile programming language that can be used for data science
projects, data analysis, machine learning, and data visualization.
What is Python?
Python is said to be a high-level and general-purpose programming language. It supports
several programming paradigms, as well as structured, object-oriented, and functional
programming. It is used for Data Science, Data Analysis, Machine Learning, Software
Development, etc.
Guido van Rossum created Python in 1991 as Python 0.9.0 which was the first released.
Python 2 is a very popular version and its latest version is Python 3.
Why do we use Python?
Python has a huge number of capabilities for programming. It offers a number of features that
makes it one of the top-ranked programming language in the world. Here are the following
features that make Python a popular and widely used programming language -
1. Platforms independent -
You can install and run Python on different types of platforms like Windows, Mac, Linux,
AIX, IBM i, RISC OS, Solaris, etc. That means it is platform independent programming
language. Due to this Python applications are portable on different platforms.

2. 2. Supports multiple programming styles -
It supports multiple programming paradigms or styles because you can use Python in a
procedural way, an object-oriented way, or even a functional way.
3. Stable and secure -
Python is a mature, stable, and traditional programming language because, since the
late 1980s, there has been continuous active development in its functionality, testing,
usability, and security updates in the form of new version releases which makes it bug-
free and stable.
4. Simple and easily understandable coding syntax -
Python is written in a very simple language and syntaxes like English and math
language, you can read and learn Python code very easily, thus saving your time and
energy to a great extent. New lines are used to complete a command in Python which is
not used in other programming languages. There is no special symbol like the curly
brackets used to write loops, functions, and classes. Python uses indentation and
whitespace for this type of scope.
5. Need to write lesser code -
Python is called a programming language with less writing because you have to write
much less code in it as compared to other programming languages.
6. Support fast coding interpreter -
The code in Python continues to execute as it is written because it works on the
interpreter system. Because of this, the prototyping of coding becomes very fast.
7. Support Object-oriented programming (OOP) architecture -
Most programmers are already familiar with object-oriented programming
methodologies. Python supports object-oriented programming methodologies, which
makes them very supportive and easy to learn for new programmers. That's why Python
becomes a popular language among new programmers.
8. Supports quick development and budget-friendly -
Python is considered to be fast development and budget-friendly programming
language because you can create new simple or complex projects or applications by
writing less coding at a low cost.
9. Supports Web Development -
Python is a better choice for web development because Python supports many features
for web development. You can successfully do web designing and development in
Python because there are many types of frameworks available in Python which are
helpful in creating website applications like – Django, Pyramid, TurboGears, Web2py,
etc. Django is quite a popular Python framework. Django Python framework-based
popular websites are - Pinterest, The Guardian, The New York Times, etc.
10. Support industry standard Database interaction –
Python supports most of the popular databases in the programming industry such as
MySQL, Oracle, PostgreSQL, Sybase, etc. You should know that PostgreSQL and
MySQL are two common open-source database names that Python uses to store data
for its web applications.

3. 11. Supportive global Python community -
There is a huge Python global community around the world that helps programmers or
developers to learn, update, and debug Python code for free. This is the reason that no
Python developer gets trapped in his project or code and he can successfully produce
his project or application on time.
Where do we use Python?
You can use Python in a variety of applications. Here are the names and short descriptions of
many of them that show the common and practical uses of Python –
 Web Development -
Python is known as a server-side application or backend language so Python is often
used to develop the backend of websites or web applications. For this, Python plays an
important role in performing many tasks such as sending data to the server, data
processing, communication from the database, etc.
Python provides a variety of options for web development which are as follows -
frameworks like Django and Pyramid, micro-frameworks such as Flask and Bottle, and
advanced content management systems such as Plone and Django CMS.
 Software Development -
You can develop software using Python. It is a very supporting language for software
developers for building control and management, testing, etc. There are multiple tools
are available for this such as - SCons, Buildbot, Apache Gump, Roundup, and Trac.
 System Administration for IT administrator -
Python is used to perform a variety of system-administration tasks such as bulk and
huge file handling operations and execution for servers.
 Scientific and Numeric purposes -
Python is a versatile programming language and is widely used for scientific and
numeric computing purposes. There are multiple tools, packages, and libraries available
for this purpose such as - ciPy, Pandas, IPython.
 Artificial Intelligence(AI) and Machine learning -
Python is the best option for Artificial Intelligence. Machine learning is a type of artificial
intelligence that uses Python to learn from large sets of input data and generate results
based on that input. By using Python for machine learning, you can create models that
are able to learn from experience and predict future events without needing any human
input.
 Business Applications -
ERP and e-commerce applications can be created using Python. "Odoo" is known for
ERP, and Tryton is known for financial, sales, etc. business-related software
Which IDE is used for writing Python code?
There are a variety of Python editors or IDE available. PyScripter is a very popular and
lightweight Python IDE for small-level development. You can use other powerful IDE for
managing high-level development with larger collections of Python files like –
 Thonny

4.  Pycharm
 Netbeans
 Eclipse
Python code sample-
a = 564
b = 3430
if b > a:
print("b is greater than a")
What are the names of Python-based frameworks?
As you must be aware that the framework of any programming language is very helpful in
managing development time and cost and we can produce new applications faster. Because
many basic and advanced programming functionalities and features are already written in the
coded framework. We just have to call and execute them in our application.
Similar frameworks are also available in Python whose popular names are as follows –
 Django,
 Pyramid,
 TurboGears,
 Web2py,
 CherryPy
Who is using Python?
Many companies with a global presence in the world are using Python for their backend
applications. The names of those companies are - Youtube, Instagram, Pinterest, Netflix, Uber,
Dropbox, Spotify, etc.