DazzlingMayur

About this guide

This Python 3.9.x for CentOS 7.x Installation and Configuration Guide provides information about installing Python from Source Code on CentOS Linux operating system.

Intended Audience

This guide is intended for anyone who wants to install Python and IDLE on CentOS 7.x.

Overview This post will guide you to install your own Python compiler along with IDLE, python IDE (integrated development environment) on CentOS 7.x. We will download source code of latest python version, compile it and check for Python interactive console, denoted by `>>>`

Prerequisites

wget package.
Python 3.9.6 is latest version at the time of writing this tutorial.

Installation

[root@abc] # wget https://www.python.org/ftp/python/3.9.6/Python-3.9.6.tar.xz

[root@abc] # tar xfvJ Python-3.9.6.tar.xz

[root@abc] # cd Python-3.9.6

[root@abc] # ./configure --prefix=/opt/python3.9.6

[root@abc] # make

###  To make idle3.9, you need tk-development to produce tkinter

[root@abc] # sudo apt-get install tk8.6-dev

[root@abc] # sudo make install

### Your Python 3.9 interpreter will be located in /opt/python3.9/bin/python3.9.

### Your Integrated Development Environment is also found in /opt/python3.9/bin/idle3.9.

### To facilitate use you can symlink these files to a location on your $PATH like so:

[root@abc] # sudo ln -s /opt/python3.9/bin/python3.9

[root@abc] # /usr/local/bin/py3.9

[root@abc] # sudo ln -s /opt/python3.9/bin/idle3.9

[root@abc] # /usr/local/bin/idle3.9

[user1@abc] $ python3.9 -V

Python 3.9.6

Salut! As the article indicates, the cloud computing is booming field for Computer Engineers and Scientists. Cloud Computing is witness of its rapid development of journey from buzzword to ground breaker. What is actually Cloud Computing? In simple words, it is the combination of Distributed computing with backbone support of Virtualization. Speaking in terms of technology, it is mainly composed of three components:

Compute: Ability to give resources i.e. Memory, Disk Space, CPU Cores; for performing operations similar to that of physical machines.

Storage: To give storage capability for storing the large data in form of Object storage and Block storage.

Network: To link users among the network to create manual network and assignment of IP related to user defined networks.

These three things mainly work with each other through API communication. Generally, most of us stuck at how to get started with Cloud computing as there are lots of Cloud floating around the Market. Before classification, we have to remember two things; Service and Source Code. So here are the types of cloud which can be classified mainly as:

• Private Cloud - Totally accessible only by user i.e. Service and Source Code

• Public Cloud - Only able to use Services

• Hybrid Cloud - Having combination of features of Private and Public Cloud

• Community Cloud - Cloud infrastructure that shares among many organizations.

Examples of Private Cloud:

▪ Eucalyptus, Openstack, Cloudstack, OpenNebula.

Examples of Public Cloud:

▪ Amazon Web Services, Rackspace.

Examples of Hybrid Cloud:

▪ Eucalyptus.

Examples of Community Cloud:

▪ Meghdoot; especially a community cloud by C-DAC.

After this classification, I will prefer to use the Private cloud as it is having total user control from development to deployment. If anyone just wants to use services, the better choice will be the AWS (Amazon Web Service). If you want to make changes according to your taste into the cloud, you have to use Private Cloud like Eucalyptus, Openstack etc. The reasons I am supporting to Private Cloud are:

1. User controlled behaviour i.e. setup number of machine according to infrastructural capacity.

2. Greatly economic.

3. If open source in nature, gives flexibility to develop according to devloper choice.

4. If used in an organization, user gets protection behind the firewall of that organization to their data.

5. Deploy your code in your own infrastructures.

For examples of private cloud, we are going to see IaaS based Cloud examples. As it is not possible to explain in depth about each cloud, I will take overview of them on the basis of:

* Foundation

* Components

* Developed in Programming Language It will help you get the things easily to move ahead.

A) Openstack:

In today’s world, leading private cloud service provider is the Openstack. Keeping pace of consistent and regular interval releases strategy, Openstack has now become rapidly developed cloud in short span of time. This cloud has been founded by joint venture of NASA and Rackspace to give a solid foundation of Private Cloud. After release of this, Openstack has attracted developers around the world due to which it has established significance of modular and collaborative development among IT companies. Among list of contributors for Openstack, following are topmost companies:

- Ubuntu

- HP

- Intel

- AT&T

- Redhat etc.

Following is the list of not full but the main components of the Openstack:

Component	Codename	Programming Language
Compute	Nova	Python
Object Storage	Swift
Block Storage	Cinder
Networking	Neutron
Orchestration	Heat
Image Management	Glance
Identity Access Management	Keystone
Dashboard	Horizon

Openstack is fully developed using Python. So if one knows python, he/she can contribute to Openstack by learning basic cloud philosophies. More info can be found at: http://www.openstack.org/software/

B) Eucalyptus:

I am putting Eucalyptus at number 2^nd considering total number of people involved around the world. It stands for Elastic Utility Computing Architecture Linking Your Platforms To Useful Systems. It has been founded by University of California, Santa Barbara. The primary goal behind building of Eucalyptus was Amazon Web Services API compatibility. At the time of writing this article, Eucalyptus has reached to the version 4.1.0 with its features. Eucalyptus Inc. has recently acquired by HP Pvt Ltd. Now it belongs to HP.

Compared to Openstack, Eucalyptus is not heavily targeted by industry people. Rather, it has good rate of growth in Academic area.

So the list of components for Eucalyptus is:

Component	Codename	Programming Language
Compute	Node Controller (NC)	C
Networking	Cluster Controller (CC)	C
Orchestration	Cloud Controller (CLC)	Java
Image Management
Identity Access Management
Object Storage	Walrus (W)
Block Storage	Storage Controller (SC)
User & Admin Dashboard	Admin & User Consoles	Python

For Eucalyptus, you have to get familiar with C, Java, Python. More info on Eucalyptus can be found at: https://www.eucalyptus.com/eucalyptus -cloud/iaas

C) Cloudstack:

I am putting Cloudstack at number 3^rd as it is very less used by academician as well as industry. It has originally founded by Citrix Pvt Ltd. After creation, Citrix has tied up with Apache and launched its open source version known as Apache Cloudstack. If you just want service, you can go to Citrix website and buy their service.

The list of components for Cloudstack is:

Component	Codename	Programming Language
Compute	CloudStack agent	Java
Networking	CloudStack management server
Orchestration
Image Management
Identity Access Management
Object Storage
Block Storage
User & Admin Dashboard

As we know most of the Apache Software foundation projects are heavily dependent on Java, same story for the Cloudstack. More info can be found at: https://cloudstack.apache.org/index.html.

After the review of Private Clouds, we will now move towards important part of the article. Career opportunities related to the Private Cloud. Currently, these are the job profiles active in Cloud area of industry:

- Cloud Administrator: Needs to configure Cloud and admin relate stuff. Provide answers to user queries in the organization.

- Cloud Architect: To design architecture of Cloud according to Customer, organizations including scalability, reliability and flexibility.

- Cloud Solutions Engineer: To provide solutions to user queries; to provide documentation, solutions to that of designs of Cloud architecture either existing or under development.

- Cloud Software Engineer: To develop products using analytical tools like Hadoop, HBase; to design and implement cloud related algorithms; design UI for these services

- User Solution: To support user by solving problems through remote help.

The sooner you will start contributing to Cloud Development area; greater will be the job opportunities for you. Now days, open source contribution prefers more to that of any certifications.

So, I believe you are now thrilled to get started with Private Cloud and build your own cloud!!

Remember, these keys to remember to get started with IaaS based Cloud Private Cloud:

1. Every communication is worked through API in Cloud.

2. Each IaaS cloud basic requirement is Compute, Network and Storage.

3. To learn any cloud, you must be clear with basics of following things:

- Distributed Computing

- Virtualization

- Programming Language (if wanted to get started as Developer)

You can start here to understand basic fundamentals: