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                     PYTHON TUTORIAL 
Learn Python
WHAT IS PYTHON
    Python is a classical programming 
language which was introduced around 
the beginning of the 1990s. The motive 
behind developing a programming 
language like python was to enhance 
code readability. Over the several 
advancements have been made to 
polish the functionality of this 
programming language and Python 3 is 
the recent version available to the 
users.
7 IMPORTANT REASONS WHY 
YOU SHOULD USE PYTHON
I. Readable and Maintainable Code
II.  Multiple Programming Paradigms
III.  Compatible with Major Platforms and 
Systems
IV.  Robust Standard Library
V.  Many Open Source Frameworks and 
Tools
VI.  Simplify Complex Software 
Development
VII.  Adopt Test Driven Development
READABLE AND MAINTAINABLE 
CODE
        While writing a software application, 
you must focus on the quality of its 
source code to simplify maintenance 
and updates. The syntax rules of 
Python allow you to express concepts 
without writing additional code. At the 
same time, Python, unlike other 
programming languages, emphasizes 
on code readability, and allows you to 
use English keywords instead of 
punctuations. Hence, you can use 
Python to build custom applications 
without writing additional code. The 
readable and clean code base will help 
you to maintain and update the 
software without putting extra time 
and effort.
MULTIPLE PROGRAMMING 
PARADIGMS
        Like other modern programming 
languages, Python also supports 
several programming paradigm. It 
supports object oriented and 
structured programming fully. Also, its 
language features support various 
concepts in functional and aspect-
oriented programming. At the same 
time, Python also features a dynamic 
type system and automatic memory 
management. The programming 
paradigms and language features help 
you to use Python for developing large 
and complex software applications.
 COMPATIBLE WITH MAJOR 
PLATFORMS AND SYSTEMS
         At present, Python is supports many 
operating systems. You can even use 
Python interpreters to run the code on 
specific platforms and tools. Also, 
Python is an interpreted programming 
language. It allows you to you to run 
the same code on multiple platforms 
without recompilation. Hence, you are 
not required to recompile the code 
after making any alteration. You can 
run the modified application code 
without recompiling and check the 
impact of changes made to the code 
immediately. The feature makes it 
easier for you to make changes to the 
code without increasing development 
time.
ROBUST STANDARD LIBRARY
        Its large and robust standard library 
makes Python score over other 
programming languages. The standard 
library allows you to choose from a 
wide range of modules according to 
your precise needs. Each module 
further enables you to add 
functionality to the Python application 
without writing additional code. For 
instance, while writing a web 
application in Python, you can use 
specific modules to implement web 
services, perform string operations, 
manage operating system interface or 
work with internet protocols. 
MANY OPEN SOURCE 
FRAMEWORKS AND TOOLS
        As an open source programming 
language, Python helps you to curtail 
software development cost 
significantly. You can even use several 
open source Python frameworks, 
libraries and development tools to 
curtail development time without 
increasing development cost. You even 
have option to choose from a wide 
range of open source Python 
frameworks and development tools 
according to your precise needs. For 
instance, you can simplify and 
speedup web application development 
by using robust Python web 
frameworks like Django, Flask, 
Pyramid, Bottle and Cherrypy. 
SIMPLIFY COMPLEX SOFTWARE 
DEVELOPMENT
        Python is a general purpose 
programming language. Hence, you 
can use the programming language 
for developing both desktop and web 
applications. Also, you can use Python 
for developing complex scientific and 
numeric applications. Python is 
designed with features to facilitate 
data analysis and visualization. You 
can take advantage of the data 
analysis features of Python to create 
custom big data solutions without 
putting extra time and effort.
ADOPT TEST DRIVEN 
DEVELOPMENT
      You can use Python to create 
prototype of the software application 
rapidly. Also, you can build the 
software application directly from the 
prototype simply by refactoring the 
Python code. Python even makes it 
easier for you to perform coding and 
testing simultaneously by adopting 
test driven development (TDD) 
approach. You can easily write the 
required tests before writing code and 
use the tests to assess the application 
code continuously. 
CREATED BY: 
MATTHEWSDAVE
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