INTRODUCTION
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How to Understand the Devops?
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Devops is a process of automating continuous Integration, deployment, management and monitoring the feedback loops to maintain a reliable software application.
==> Reliable software application?
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	Software application with zero failures for a specified period in a specified environment.
	According to the customer view the application with good quality ==> reliable software application.
	Reliability of application is related to operations not on design patterns.

==> Devops ==> Development + Operations
	Which is transformative approach that enhances the collaboration and automation between the teams of developers, operations and IT.
==> The main objective of Devops is to simplify and fasten the CI/CD process while maintaining the stability and reliability of software application.
==> By implementing the culture of collaboration and automation, Devops breaks the work of application into small tasks and reduces the manual work.
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Why we use python for Devops?
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Guido Van Rossum

Python was developed from different languages:
	C	==> 	functional approach
	C++ 	==> 	Object Oriented approach
	Modula 	==> 	Modular Approach
	Perl/Shell Script ==> Scripting

OOPs (Object Oriented Programming System) Principles:
	Inheritance
	Polymorphism
	Encapsulation
	Abstraction

Ex:
	Banking Application
		Money Transfer ==> Module-1
		Loans	==> MOdule-2
			Home
			Car
			Personal
			Gold etc.
		Credit cards ==> Module-3
		Debit cards etc.
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How to use Python for Devops Process:
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1) Planning & Configuration Management
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Python has very extensive library
because of this, python allows IaC (Infrastructure as Code)
and automating configuration tasks which specifies the planning and configuration management in Devops.

2) Development:
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==> Python is used in all kinds of applications development with the help of extensive python's library and frameworks (Django, Flask).
==> Python can help developers to interact with database and to perform the CRUD operation.
==> Python application can connect/interact with any Version Control System (VCS) like: Subversion, Git etc using a default module: GitAPI.
==> Python application can interact with OS to get resource related to application because of one module "OS".

3) Build & Test:
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Build Automation Process ==> Selenium
testing the system with different libraries like:
		PyTest,

4) Cloud Automation
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==> Developers have to interact with Cloud Service Providers like: AWS, Azure, GCP to create and modify cloud resources like:
	Launching Virtual Machines (VMs)
	Configuring the Networks
	and managing the cloud storage etc. in programmatically using Python.

5) Deployment:
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Python integrates easily into CI/CD pipelines and perform:
	1) Copying files
	2) configuring the software etc.

==> Python Can utilize Cloud SDKs with BOTO3. 
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How much python we need for Devops process:
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Environment Setup.
Python Basic Syntax
Variables
Datatypes
Conditionals
Loops
Functions
OOP Concepts
Modules
File Handling
Exception Handling
Regular Expressions
BOTO3