Learn How To Code

Cloud Computing

2019-12-28T09:22:00.001+05:30

Cloud Computing services

Cloud computing is basically the availability of System Monitor especially data storage and cloud computing, without direct active management by the user. The term is generally used to describe data centers available to many users over the internet.

What is Cloud Storage?

We usually use a traditional method for saving data such as hard drives, pen drives, ssd or any other storage device that has a lot of advantages. But once the storage device gets full or corrupt all the data is needed to transfer into another storage device or stored data gets lost respectively. Hence the term cloud storage comes into existence it acts as a replica of the traditional storage devices where the users can store their data and keep their backup files on hardware and USB flash drives.

for Largest It Company Like google, facebook, amazon and many company works on cloud storage.

1. Google Drive

As we know all cloud storage works the same way Like we store data overdrive in the format of photos, videos, text and many more. But there are many more features of Google Drive that make it special among all the other cloud storage because it lets the users store their personal stuff in a personal way and moreover the Google free cloud storage provides with excellent free storage of 15GB and is one of the best cloud storage.

The Google Drive offline services help its users to view all the files and photos that are saved online even when they have bad network service. Scanning documents have now become much easier by just taking a snap of the document and the rest is done by the drive like storing them in PDF form. Google free cloud storage is considered the best which is integrated with all other Google services.

2. Sync.com

sync is also one of the other best free cloud storage available. Sync.com provides free storage of about 5GB. It has become quite easy to back up files with Sync.com only when the users have used something better than the sync folder because exploring the sync.com web panel which offers incredible features is productive. The best feature of the Sync.com is the restoring of deleted files and thereby stops users from regretting mysteriously lost important documents.

Get free space feature is the most excellent feature that sync.com offers. If a user wants to get a bit more space for files and photos what is to be done is tell a friend about Sync and the number of friends signs up for sync gets a free gigabyte along with the user who recommends it to others. The Sync Vault is a feature which helps the users to save files and documents in a special storage space known as Vault which is different from the Sync folder and all that is required to be done just select a file and choose the option of Copy to Vault and your important data gets a backup.

3. Mega

The mega cloud storage is a great storage space that is much similar to the dropbox storage but the difference between the two is the amount of the space that both the cloud storage provides. 50GB of free space is available for the Mega cloud storage users. Mega cloud storage helps users to download multiple files in the zip file and uploading files through the mobile app is also possible.

The unbeatable storage of 50GB has made it among one of the popular free cloud storage available and has attracted a large number of users towards Mega cloud storage. The users who are searching for an excellent backup file option should definitely sign up Mega cloud storage as it only provides the best storage but also with the many security features.

4. pCloud

pCloud is one of the best free cloud storage options that provide 2TB storage and its unlimited remote upload traffic feature makes it unique. It offers 10GB of free storage space to its basic accounts. Resizing pictures on the go without the help of software has now become much easier with my.pCloud, which provides a wide range of resizing options for its users.

The archive features the pCloud offers is amazing as files can be archived with the create archive option that it provides. The pCloud drive has an option that helps the users automatically lock the crypto folders each and every time they log off from the device.

5. OneDrive

Keeping documents and files within reach has become possible with the top free cloud storage solutions such as Microsoft OneDrive. Signing up with Microsoft can help users in keeping everything in one place. It earlier provided 15GB of free space to the users but has now reduced to 5GB. It can be accessed from any device at any point in time but is pre-installed in windows. This cloud storage is considered to be the second most wanted storage among businessmen after the Dropbox storage cloud.

The main disadvantage of outlook was the user frustration of saving attachments from emails because of the number of steps that involved but it has now become easier for the businesses to choose email attachments and save it directly in folders. Now it has also become easier to create excel surveys and save it in OneDrive.

6. iCloud

The Apple iCloud is the best free cloud storage for Apple users. Initially, it provides users with 5GB of free storage. All documents and files can be stored safely and it is easy to use. The users of Apple iCloud can share photos and videos with ease with their family members. Organizing files and folders has become easy with Apple iCloud. Apple iCloud helps in sending messages and automatically and saves them. Even the users can start conversations from the exact point that they have stopped earlier.

7. Amazon Drive

This is another best free cloud storage available that helps the users in saving photos and files securely. This cloud storage has many features that have made the handling of files easier. Maintaining a perfect workflow i.e. sharing of photos, videos, and documents, has now become easier with the powerful features of Amazon Drive. It provides 24*7 support and 5GB of free storage after signing up.

Python Tutorial

2019-12-27T18:06:00.001+05:30

Python Keywords, Python Identifiers

Python Keywords:

Keywords are the reserved words in Python.

We cannot use a keyword as a variable name, function name or any other identifier. They are used to define the syntax and structure of the Python language.

In Python, keywords are case sensitive.

There are 33 keywords in Python 3.7. This number can vary slightly in the course of time.

All the keywords except True, False and None are in lowercase and they must be written as it is. The list of all the keywords is given below.

Keywords in Python
`False`	`class`	`finally`	`is`	`return`
`None`	`continue`	`for`	`lambda`	`try`
`True`	`def`	`from`	`nonlocal`	`while`
`and`	`del`	`global`	`not`	`with`
`as`	`elif`	`if`	`or`	`yield`
`assert`	`else`	`import`	`pass`
`break`	`except`	`in`	`raise`

Python Identifiers:

An identifier is a name given to entities like class, functions, variables, etc. It helps to differentiate one entity from another.

Rules for writing identifiers

Identifiers can be a combination of letters in lowercase (a to z) or uppercase (A to Z) or digits (0 to 9) or an underscore _. Names like myClass, var_1 and print_this_to_screen, all are valid example.
An identifier cannot start with a digit. 1variable is invalid, but variable1 is perfectly fine.

Keywords cannot be used as identifiers.



>>> global = 1
  File "<interactive input>", line 1
    global = 1
           ^
SyntaxError: invalid syntax

We cannot use special symbols like !, @, #, $, % etc. in our identifier.



>>> a@ = 0
  File "<interactive input>", line 1
    a@ = 0
     ^
SyntaxError: invalid syntax

An identifier can be of any length.

Things to Remember

Python is a case-sensitive language. This means, Variable and variable are not the same. Always name identifiers that make sense.

While, c = 10 is valid. Writing count = 10 would make more sense and it would be easier to figure out what it does even when you look at your code after a long gap.

Multiple words can be separated using an underscore, this_is_a_long_variable.

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Learn Python Programming

2019-12-27T17:57:00.001+05:30

Python Programming

Python is a powerful multi-purpose programming language created by Guido van Rossum.

It has simple easy-to-use syntax, making it the perfect language for someone trying to learn computer programming for the first time.

This is a comprehensive guide on how to get started in Python, why you should learn it and how you can learn it. Here we will discuss

How to Get Started With Python?

The Easiest Way to Run Python

The easiest way to run Python is by using Thonny IDE.

The Thonny IDE comes with the latest version of Python bundled in it. So you don't have to install Python separately.

Follow the following steps to run Python on your computer.

Download Thonny IDE.
Run the installer to install Thonny on your computer.
Go to File > New. Then save the file with the extension. For example, hello.py, example.py etc.
You can give any name to the file. However, the file name should end with .py
Write Python code in the file and save it.
Then Go running> Run current script or simply click F5 to run it

Install Python Separately

If you don't want to use Thonny, here's how you can install and run Python on your computer.

Download the latest version of Python.
Run the installer file and follow the steps to install Python
During the install process, check Add Python to environment variables. This will add Python to environment variables and you can run Python from any part of the computer.
Also, you can choose the path where Python is installed.

Once you finish the installation process, you can run Python.

Your first Python Program

Now that we have Python up and running, we can write our first Python program.

Let's create a very simple program called "Hello World!". A "Hello, World!" is a simple program that outputs on the screen. Since it's a very simple program, it's often used to introduce a new programming language to a newbie.

Type the following code in any text editor or an IDE and save it as helloWorld.py


print("Hello world!")

Then, run the file. You will get the following output.

Hello world!

Congratulations! You just wrote your first program in Python.

As we can see, it was pretty easy. This is the beauty of Python programming language.

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Online coding course

2019-12-27T15:09:00.000+05:30

Online coding Platform ???

There was a time when knowing how to program was for the geekiest of geeks. That’s not exactly the case today. As most entrepreneurs, freelancers and marketers will tell you, learning how to program can help you succeed. Over the past year, I've been learning to code. It's helped me to become a much better entrepreneur: I can dive in, for instance, when my team needs to fix a few bugs on the site.

You don’t even need to shell out a ton of money or put yourself in debt to learn how to code, either. These 12 places offer coding courses for free

1. Codeacademy

One of the most popular free places to learn to code is Codeacademy. In fact, more than 45 million people have already learned how to code through this educational company’s engaging experience. At CodeAcademy, you can dive right in and take courses that teach you everything from HTML & CSS, JavaScript, and SQL to Bash/Shell, Python, Ruby and C++.

2. Coursera

Founded in 2012, Coursera has grown into a major for-profit educational-technology company that has offered more than 1,000 courses from 119 institutions. While you can pay for certain programs to receive a certificate, there are a number of free introductory programming courses in various specializations from universities such as the University of Washington, Stanford, the University of Toronto and Vanderbilt.

3. edX

edx is another leading online-learning platform that is open source instead of for-profit. It was founded by Harvard University and MIT in 2012, so you know that you’ll learn about cutting-edge technologies and theories. Today, edX includes 53 schools

4. Udemy

Udemy is an online learning platform that can be used as a way to improve or learn job skills. While there are courses you have to pay for, there are plenty of free programming courses, which are taught via video lessons, such as Programming for Entrepreneurs -- teaching Django- the #1 Python Frameworks, APIs, HTML, CSS, + Payments.

5. AGupieWare

AGupieWare is an independent app developer that surveyed computer-science programs from some of the leading institutions in the U.S. It then created a similar curriculum based on the free courses offered by Stanford, MIT, Carnegie Mellon, Berkeley, and Columbia. The program was then broken into 15 courses: three introductory classes, seven core classes and five electives.

While you won’t actually receive academic credit, this is a perfect introductory program for prospective computer programmers.

6. GitHub

Sometimes, you need to recall a reference book when you’re stuck on a problem. That's GitHub, where the site says, over 31 million developers collaborate to host and review code, manage projects, and build software together. Many programming languages are used here and a Coding Camp teaches the basics.

7. MIT Open Courseware

If you’ve already learned the basics, and want to get into something a bit heavier -- such as exploring the theory behind coding -- you can take advantage of MIT’s free courseware site, which includes classes such as Introduction to Computer Science and Programming in Python , and language-specific courses like Java, MatLab and C and C++.

8. Hack.pledge()

This is a community of developers, which include some high-profile developers such as Bram Cohen, the inventor of BitTorrent. Here, you can perfect your programming skills by learning from some of the leading developers in the world.

9. Code Avengers

Based out of New Zealand, Code Avengers provides a fun and interactive programming lessons for kids 5 to 14; for schoolteachers wanting to teach coding; for people going into coding professionally; and for creators ages 15 and up. Also offered are one- to three-day "code camps" for students up to 17. These day camps are located in multiple states -- and foreign countries.

Courses focus on game design, C++, HTML, Python and more and they're available in multiple languages.

10. Khan Academy

Created in 2006 by educator Salman Khan, Khan Academy is one of the original free online-learning institutions. With step-by-step video tutorials, you can learn how to program drawings, animations, and games using JavaScript and processing, or learn how to create webpages with HTML and CSS. See, especially, Khan's "Hour of Code," designed to introduce students to one hour of computer science and computer programming.

11. Web Fundamentals

This Google project for web developers launched in 2010 to counter Apple’s HTML5. The site is full of tutorials, resources, and the latest HTML5 updates. It’s open-source, so developers can play around with HTML5 code. Because this site's offerings are more advanced than most introductory courses, you'll need some knowledge and experience before jumping in.

Integrated Development Enviroment

2019-12-26T13:33:00.000+05:30

IDE Integrated Development Environment:-

Whether you’re a seasoned developer or you’re just learning how to code, staying on top of the latest integrated development environments is a constant challenge. Truthfully, there is no best IDE for everyone. The best IDE is the IDE that works best for you, so below is a selection of 10 of the most popular

How is an IDE Different From a Text Editor?#

An IDE is more than a simple text editor. While code-centric text editors such as Sublime or Atom offer many convenient features such as syntax highlighting, customizable interfaces, and extensive navigation tools, they only allow you to write code. To make functioning applications, you at least need a compiler and a debugger.

An IDE includes all of these components and then more. Some IDEs come with additional tools for automating, testing and visualizing the development process. The term “integrated development environment” means that you have everything you need to turn code into functioning apps and programs.

1. Microsoft Visual Studio

Microsoft Visual Studio is a premium IDE ranging in price from $699 - $2,900 depending on the edition and licensing. The many editions of this IDE are capable of creating all types of programs ranging from web applications to mobile apps to video games. This series of software includes tons of tools for compatibility testing so that you can see how your apps run on more than 300 devices and browsers. Thanks to its flexibility, Visual Studio is a great tool for both students and professionals.

Languages Supported: ASP.NET, DHTML, JavaScript, JScript, Visual Basic, Visual C#, Visual C++, Visual F#, XAML and more

Notable Features:

A massive library of extensions that is always growing
IntelliSense
Customizable dashboard and dockable windows
Straightforward workflow and file hierarchy
Insights for monitoring performance in real-time
Automation tools
Easy refactoring and code snippet insertion
Split-screen support
Error list that allows debugging while building
Approval checks when deploying apps via ClickOnce, Windows Installer or Publish Wizard

Drawbacks: Because the Visual Studio is a heavyweight IDE, it takes considerable resources to open and run, so making simple edits may be time-consuming on some devices. For a simpler task, it may be easier to use a lightweight editor

2. NetBeans

Netbeans is a free and open-source IDE. Ideal for editing existing projects or starting from scratch, NetBeans boasts a simple drag-and-drop interface that comes with a myriad of convenient project templates. It is primarily used to develop Java applications, but you can download bundles that support other languages.

Languages Supported: C, C++, C++11, Fortran, HTML 5, Java, PHP and more

Notable Features:

Intuitive drag-and-drop interface
Dynamic and static libraries
Multi-session GNU debugger integration with code assistance
Allows for remote development
Compatible with Windows, Linux, OS X, and Solaris platforms
Supports Qt Toolkit
Supports Fortran and Assembler files
Supports several compilers including CLang/LLVM, Cygwin, GNU, MinGW, and Oracle Solaris Studio

Drawbacks: This free IDE consumes a lot of memory, so it may perform sluggishly on some machines

3. PyCharm

PyCharm is developed by the folks over at Jet Brains and provides users a free Community Edition, 30 days free trial for the Professional Edition, $213 - $690 for an annual subscription. Comprehensive code assistance and analysis make PyCharm the best IDE for Python programmers of all ability levels. PyCharm also supports other languages and works on multiple platforms, so practically anyone can use it.

Languages Supported: AngularJS, Coffee Script, CSS, Cython, HTML, JavaScript, Node.js, Python, TypeScript and template languages

Notable Features:

Compatible with Windows, Linux, and Mac OS
Comes with Django IDE
Easy to integrate with Git, Mercurial, and SVN
Customizable interface with VIM emulation
JavaScript, Python and Django debuggers
Supports Google App Engine

Drawbacks: Users complain that PyCharm has some bugs, such as the autocomplete feature occasionally not working, which can be a minor inconvenience

4. IntelliJ IDEA

IntelliJ IDEA is another IDE developed by Jet Brains. This IDE offers users a free Community Edition, 30 days free trial for the Ultimate Edition, and costs $533 - $693 annually depending on features. IntelliJ IDEA, which supports Java 8 and Java EE 7, comes with extensive tools to develop mobile apps and enterprise technologies for different platforms. When it comes to cost, IntelliJ is a real deal due to the massive the list of features you get.

Languages Supported: AngularJS, CoffeeScript, CS, HTML, JavaScript, Less, Node JS, PHP, Python, Ruby, Sass, TypeScript and more.

Notable Features:

Extensive database editor and UML designer
Supports multiple build systems
Test runner UI
Code coverage
Git integration
Supports Google App Engine, Grails, GWT, Hibernate, Java EE, OSGi, Play, Spring, Struts and more
Deployment and debugging tools for most application servers
Intelligent text editors for HTML, CSS, and Java
Integrated version control
AIR Mobile supports Android and iOS devices

Drawbacks: This IDE comes with a learning curve, so it may not the best for beginners. There are many shortcuts to remember, and some users complain about the clunky UI

5. Eclipse

Eclipse is a free and flexible open-source editor useful for beginners and pros alike. Originally a Java environment, Eclipse now has a wide range of capabilities thanks to a large number of plug-ins and extensions. In addition to debugging tools and Git/CVS support, the standard edition of Eclipse comes with Java and Plugin Development Tooling. If that’s not enough for you, there’s plenty of other packages to choose from that include tools for charting, modeling, reporting, testing, and building GUIs. The Eclipse Marketplace Client gives users access to a treasure trove of plugins and information supplied by an expanding community of developers.

Languages Supported: C, C++, Java, Perl, PHP, Python, Ruby and more

Notable Features:

A plethora of package solutions allowing for multi-language support
Java IDE enhancements such as hierarchical views of nested projects with customizable perspectives
Task-focused interface including system-tray notifications
Automated error reporting
Tooling options for JEE projects
JUnit integration

Drawbacks: While Eclipse is a very versatile software, the many options may be intimidating to newcomers. Eclipse doesn’t have all of the same features as IntelliJ IDEA, but it is open source

6. Code: Blocks

Code:: Blocks is another popular free and open-source option. It is a highly customizable IDE that performs consistently across all platforms, so it is great for developers who frequently switch between workspaces. The plug-in framework lets users tweak this IDE to meet their needs.

Languages Supported: C, C++, Fortran

Notable Features:

Easy-to-navigate tabbed interface including a list of open files
Compatible with Linux, Mac, and Windows
Written in C++
Requires no interpreted or proprietary languages
Supports many pre-built and custom-built plug-ins
Supports multiple compilers including GCC, MSVC++, clang and more
A debugger that includes breakpoint support
Text editor with syntax highlighting and autocomplete
Customizable external tools
Simple task management tools ideal for multiple users

Drawbacks: Though Code:: Blocks comes with many features, it is a relatively lightweight IDE, so it’s not suited for larger projects. It is a great tool for beginners, but advanced coders may be frustrated with the limitations

7. Xcode

Xcode IDE is free, open-source, and part of Xcode, which is a collection of tools for making apps for Apple devices such as the iPad, iPhone, and Mac. Integration with Cocoa Touch makes development in the Apple environment a breeze, and you can enable services such as Game Center or Passbook with a single mouse click. Built-in communication with the developer’s website helps users produce fully functioning apps on the fly.

Languages Supported: AppleScript, C, C++, Java, Objective-C

Notable Features:

UI controls can be easily connected with implementation code
Apple LLVM compiler scans code offers advice for addressing performance issues
The assistant function allows for split-code workspace
Jump bar permits quick navigation
Interface Builder lets the user build prototypes without writing any code
UI and source code can be graphically connected to sketch complex interface prototypes in just minutes
Version Editor includes log files and commits timeline
Branch and merge for distributed teams
Test Navigator lets you quickly test applications at any point during development
Automatically builds, analyzes, tests, and archives projects thanks to Integration with OX X server
Workflow is highly customizable with Tabs, Behaviors, and Snippets
Instrument library and asset catalog

Drawbacks: You obviously need an Apple machine to run Xcode, and keep in mind that you need a developers license to upload apps to the Apple Store.

Finding the Best IDE for Your Needs#

As you can see, the best IDE for you depends on your operating system, your programming language of choice and which platforms you wish to develop for. Finding the right fit is really an ongoing process. Your options are practically limitless, so it may be helpful to make a list of your preferences and then searching for the IDE that most closely matches your needs. While every developer has their favorite software, don’t be afraid to branch out as the world of IDEs is always expanding.

Green IT

2019-12-25T22:45:00.000+05:30

Green IT, the emerging new trend in the Global IT sector that can help an organization get started in an environmentally responsible manner, both to fulfill their legal and moral obligations, but also to enhance the brand and to improve corporate image.

What is Green IT?

There are many definitions for Green IT. Some of them listed below.

Green computing or green IT is “the study and practice of designing, manufacturing, using, and disposing of computers, servers, and associated subsystems—such as monitors, printers, storage devices, and networking and communications systems—efficiently and effectively with minimal or no impact on the environment. It includes the dimensions of environmental sustainability, the economics of energy efficiency, and the total cost of ownership, which includes the cost of disposal and recycling.”

Another definition for Green IT says it is the “optimal use of information and communication technology (ICT) for managing the environmental sustainability of enterprise operations and the supply chain, as well as that of its products, services, and resources, throughout their life cycles.”(The Gartner report, “Green IT: The New Industry Shock Wave,” by analyst Simon Mingay).

“Green Computing”

is defined as the study and practice of using computing resources efficiently through a methodology that combines reducing hazardous materials, maximizing energy efficiency during the product’s lifetime, and recycling older technologies and defunct products. (San Murugesan, August 2007) In short Green, Computing enables companies to meet business demands for cost-effective, energy-efficient, flexible, secure & stable solutions while being environmentally responsible.

Why Green IT Matters

IT systems are not only a large source of emissions that need to be carefully managed, but they are also the most important part of an organization’s compliance. IT is the measuring tool and the data repository. ICT typically accounts for more than 20% of the energy used in an office building, with some offices registering up to 70% attributed to ICT. Although energy costs typically comprise less than 10% of an overall IT budget. A recent report states that this could rise to more than 50% over the next few years (Gartner Research). Green IT is about IT’s contribution to reducing the whole organization’s carbon footprint, and to facilitating mandatory reporting on carbon emissions and the subsequent emissions trading system.

Green IT is part of a fundamental change in the economy and society (see Figure 1). It is a subset of the larger green (or sustainable) business trend, which reconciles sustainable business practices with profitable business operations. In the IT industry, both suppliers and buyers are coming to realize that they should incorporate green principles into the design, manufacturing, operation, and disposal of IT assets. The momentum for this change comes from a variety of sources which is listed below:

Government mandates

Energy efficiency

Product and Company differentiation and

CSR

Companies’ efforts to improve their IT efficiency and governance have direct green benefits as well. This is just the beginning of a long-term shift in the behavior of corporate IT organizations and businesses generally. The companies are expected to adopt a combination of “quick win” activities and longer-term planning that will result in a significantly greener IT industry.

What Companies are doing with Green Computing

Green Computing is making significant progress in businesses and organizations, according to the More Green Progress in Enterprise IT study from Forrester Research. The report shows that companies are increasingly taking the environmental impact of technology needs into consideration as part of their regular operations.

For this report, Forrester surveyed 738 companies, almost three-quarters of which employ more than 1,000 people. Over 40% responded that environmental concerns were “very important” to their companies; 45% of those companies are either implementing or creating a green-IT strategy to guide future purchasing or end-of-life technology product considerations. The survey also found that half of the companies already incorporate environmental criteria into purchasing decisions and almost 80% recycle hardware at end-of-life, either through OEMs or third parties.

Globally, the top three reasons listed for making greener IT choices include reducing energy-related expenses; doing “the right thing” for the environment; and bringing IT in-line with larger corporate initiatives.

IBM has been singled out by leading technology media for its emphasis on energy-efficient technology and services internally and for clients. IDG’s Computerworld, the leading source of technology information worldwide, has named IBM the top Green IT Company for 2008. A Computerworld executive noted that “IBM…has taken a serious look at how they impact the environment and how they can address those challenges with good business sense, through their Project Big Green initiative and a company-wide focus on energy-efficient technology services.” (Segan, Sascha (2007))

Benefits of Green IT

Green IT solutions benefit the environment, as well as the bottom-line. By focusing on Green Computing, an IT organization can:

Lower overall energy expenses including general energy consumption, as well as power and cooling costs.
Optimize server capacities and performance.
Reduce data center footprint, reclaiming valuable floor space through consolidation and/or virtualization.
Provide required, rapid and secure access to data.
Increase the ease of systems and solutions management.
Recycle end-of-life equipment.
Recapture resiliency.
Free-up budget components

In short, Green Computing enables companies to meet business demands for cost-effective, energy-efficient, flexible, secure and stable solutions while being environmentally responsible (Jon Brodkin, 2009)

Five Steps to a Successful Green Computing Solution

Green Computing involves a range of services and technologies based on best practices for reducing energy usage. As noted above, IBM recommends a comprehensive five-step plan in developing energy-efficient, cost-effective, environmentally responsible information technology operations. Analyses of the five steps follow.

Diagnose – It is difficult to manage what cannot be measured, particularly when it comes to energy efficiency. It is important for a company to collect accurate, detailed information on its energy efficiency as a first step in pinpointing areas for potential improvement and to identify existing systems ready for retirement. Mainline and IBM provide Energy Efficiency Assessments, which are proven tools for diagnosing the energy demands of physical infrastructure and IT equipment.
Build – After identifying needs and solution requirements, and reviewing Energy Efficiency Assessments, the second step includes planning and designing the new solution including building or preparing facilities for replacements, migrations or upgrades. Implementing best practices, innovative technologies and solution expertise will result in improved operations while reducing costs.
Virtualize – Virtualization can produce the fastest and greatest impact on energy efficiency in an information technology center. Consolidating an IT infrastructure can increase utilization and lower annual power costs. Reducing the number of servers and storage devices through virtualization strategies can create a leaner data center without sacrificing performance. Less complexity, reduced cost, better utilization and improved management are all benefits of server, storage and desktop virtualization, and helps achieve Green Computing.
Manage – Data center energy consumption is managed through provisioning and virtualization management software, providing important power alerts, as well as trending, capping and heat measurements. Such software can reduce power consumption by 80% annually.
Cool – Excessive heat threatens equipment performance and operating stability. Innovative IBM cooling solutions for inside and outside the data center minimize hotspots and reduce energy consumption. IBM’s patented Rear Door Heat exchanger “cooling doors” are now available across most IBM Systems offerings. While requiring no additional fans or electricity, they reduce server heat output in data centres up to 60% by utilizing chilled water to dissipate heat generated by computer systems.

Conclusion:

Most IT Corporate, with little knowledge of how IT can help them measure and maintain their Carbon Reporting requirements are underprepared in the competition to go green. There are over 50 carbon reporting tools available – but fewer than 10% of organisations are using one. One half of all CIOs and IT managers take the environmental credentials of the vendor into account when buying products. One third of all user organisations have appointed someone in charge of Green IT, and another one third will do so this year (Excom 2008). These are main reasons why Green IT has to be on top of the list in the company’s annual budget.

Corporations, governments, and individuals alike can slash greenhouse emissions 50% from projected levels in 2030 by using technologies that already exist—as well as those in the pipeline.(Mckinsey Report, Green IT: Corporate Strategies). The report also says 40% of the recommended practices would save companies and organizations money too.

In other words, going green can mean dollars saved—clearly a motivating factor for the tech companies already pushing for more earth-saving IT policies, not to mention for those corporations outside the realm of tech that look at such reports to gauge how policies are evolving—and how to emulate them.

Artificial Intelligence Future ?

2019-12-24T10:45:00.001+05:30

Why do we need Artificial intelligence??

We people in today’s world have been hearing the word artificial Intelligence. But most people don’t know exactly what does this Artificial Intelligence means? and moreover why it is necessary in today’s world. But today the people do not know that this Artificial Intelligence has been everywhere in today's world. For every decade, the population is being increased quickly. And the hidden fact that we need to know is that we were already using Artificial Intelligence. But the people still think that term is new and we need to apply. And the major reason for why do we need artificial Intelligence is that because of the population.

So do you think that population is the reason for the involvement of Artificial Intelligence? Yes, because, the population is being increased day today. And the requirements of the client are also day-to-day. So today the organization cannot afford the on-demand client requirement in a stipulated amount of time. So in this scenario, they need an alternative to over the problem. The alternative, that we have today is the application of Artificial Intelligence. Click the Artificial Intelligence Github Code to know how does it solve the problem.

Handling Data

A hallmark of machine learning is the massive amounts of data curated when it is exercised. Managing this data requires significant responsibility to safeguard the consumer’s privacy and other rights, whether their data is simply stored or used to make decisions, automated or not. Any initiative to harness data for machine learning must include methods for identifying and protecting sensitive data within large datasets, both structured and unstructured. Our industry is already aware and conforming with the requirements of HIPAA and PCI, but it’s important to remember that when business decisions are made that affect consumers, meaningful information about those decisions must be provided, care must be taken to treat protected classes equally (ECOA), and EU citizens must be provided with a way to opt-out and information into the decision process. The power and scale of AI’s capabilities should not be taken lightly as these factors are brought under consideration.

Compute Power:

Machine learning, especially deep learning, runs well on hardware using GPU chips for massive parallel instruction processing and extremely fast memory. As a result, GPU chip demand has skyrocketed and the major cloud services suppliers have purchased a large percentage of available GPUs. And while AI platforms can be installed onsite, businesses who build this within their own data centers are generally creating AI technology in house. There’s good news though: Companies provide solutions that deliver intelligence or intelligent functions commercially. These companies draw the data they use to train and execute machine learning models into their data centers or to their virtual private cloud (VPC) in a commercial or FEDRAMP cloud platform. There are a few vendors who reluctantly allow the customers’ data to stay on-premise for an additional charge if the customer purchases their own hardware. Because latency matters with today’s expectations of the technology, AI at the Edge is the next frontier, focusing on processing AI functions on edge devices: smartphones, wearables, cars, traffic lights, factory machines. In other words, AI will be embedded in the Internet of Things (IoT).

Selecting Tools for the Purpose:

Artificial intelligence replaces or augments human presence in business processes, allowing us to pull redundant and tedious tasks out of human hands. Machine learning and deep learning applications make those tasks done by the system intelligent, learning with more experience and data, without rules written by humans. Here’s where we depart from earlier automation of business processes in receivables. For our industry’s entire history, we have relied on those long-tenured or deeply-experienced managers to translate their smarts into dialer and correspondence strategies, what to say on the phone, how to respond to denials and other processes. Machine learning promises to create good outcomes by reviewing all of what has gone before and charting the path to successful actions. Replacing a human with a computer requires the computer to be fast enough to make the process work. Some use case results can wait a day or can be allowed to take minutes or seconds, while others must feel instantaneous.

Takeaways

Artificial intelligence is an exciting opportunity for our industry to improve results while keeping a sharp eye on margins. With all the hype, it’s important we keep our heads, understand the context and uses for artificial intelligence in its various forms, and continue to monitor the regulations that will govern behavior influenced by automation. As with several of our delivered solutions, Ontario Systems will seek good technology and partners to provide what they do best, embedded in our best-in-class workflow and integrated contact management. Each time, we will examine the business case to ensure the solution delivers value and enables you to take advantage of opportunities or solve problems in your real world.

Reactive machines :

A good example of this Reactive machine is Deep blue. And this is usually applied in Chess Board. This can identify the pieces of the chessboard and make predictions. But the drawback is that it does not have memory. It means, it cannot use past experiences to predict the future. So it just uses the current situation and just moves the pawn. It is intended for the application of a small situation. The situation could be handled within a moment itself.

Limited Memory :

This type of AI is applied where there is a need for memory. Some machines work based on past experience. It means information about the same thing that happened in the past and does the current work accordingly. This type of AI majority used in the areas of self-driving cars. It uses its memory to act in situations like traffic collisions.

Theory of mind :

This type of AI refers to the understanding of other behaviors and do the work according to It includes the feeling. the intention, moves of the other person. In general, this kind of AI still does not exist. And today most of the scientists ware working hard to get it practically.

Largest IT company in The World

2019-12-24T10:13:00.000+05:30

Biggest Company in the World

Largest Tech Companies globally are driving innovation around the world. With the growing focus on automation and technology, there has been a consistent boom as far as the IT sector is concerned. As per industry reports, worldwide Large IT companies are spending or Investing There Money around $4.5 trillion worldwide. Things like IoT, cloud computing, privacy, online security, etc are the IT services being served to clients by the best software companies in the world.

The list of IT companies includes Microsoft, IBM, Oracle followed by Accenture, HPE, SAP & other big IT brands. The majority of IT services happen in the US and Asia, which contribute to one-third of the overall global business worldwide. The growth of the information technology industry in the world is pegged at 4.5-5% as per industry experts. The top companies are leading innovation in consulting, outsourcing, technology, and services in the world. Here is the list of the top 10 IT companies in the world 2019.

1st Place: Microsoft

2nd Place: IBM

3rd Place: Oracle

4th Place: Accenture

5th Place: HPE

6th Place: SAP

7th Place: TCS

8th Place: Capgemini

9th Place: Cognizant

10th Place: Infosys

10. Infosys

Infosys is an Indian MNC that provides IT solutions to its clients through business process consulting, software development and business process outsourcing services.

Infosys had around 200000 employees by the end of March 2017 & its headquarter is located in Bengaluru, Karnataka, India. The company is also known for its high gender diversity as it has around 36% of women workforce all across the world.

Infosys is the second-largest Indian IT company by 2017 revenues and is ranked under the top 10 IT companies of the world in terms of revenue. In June 2017, its market capitalization was around $34 billion. During the financial year 2017, Infosys had a 4% hiring rate and received around 1,290,000 applications from prospective employees who were interested in building their career with Infosys. Its workforce consists of employees from more than 100 different nations.

Out of its total workforce, more than 75% are software professionals, 15-20% are working in its Business process mapping arm and remaining are engaged for technical support and sales projects. It was India’s first IT company which was able to cross annual revenue of US$100 million in the year 2000, US$1 billion in 2004 and US$10.21 billion in 2017. Quarter 3 of the 2017 financial year, Infosys was able to achieve a high growth rate with net profit increased to 38.3%. Hence Infosys is on 10th Rank in Top 10 IT companies in the world.

Revenue: US $10.21 Billion

Profit: 21.9% of its revenue

9. Cognizant

Cognizant is one of the leading IT services companies which is helping clients' to transform their existing business, operating and technology models with the rapidly changing digital technology.

Image: flickr.com/photos/cognizant-worldwide/

Cognizant is consistently able to maintain its ranking among the most admired and fastest-growing companies in the world. The cognizant unique industry-based consulting approach actually helping a client to build more innovative and efficient businesses. It has its headquarter located in U.S. Cognizant is also a member of the Nasdaq and it is ranked 205 on the Fortune 500 ranking. The revenue of Cognizant is consistently growing and it has increased from $7.7 Billion to $13.5 billion currently. It has an employee strength of around 260,000 workforces by 2016. Cognizant is investing aggressively in digital services to enhance value for stakeholders or shareholders through the high return of capital. Cognizant is helping banks revolutionize lending by assessing risk using predictive analytics by analyzing a customer’s financial history. Using advanced analytics tools, they

analyze rich borrower data which helps banks to better predict a customer’s creditworthiness and take various informed decisions to lend money to those who have lower credit risk. It also helps qualified individuals and businesses to get the desired financing. Cognizant is on 9th Rank in Top IT companies in the world 2018.

Revenue: $ 14.81 Billion

Profit: 10.2% of its Revenue

8. Cap Gemini

Cap gemini is one of the leading IT companies in the world having a strong global presence.

Image: flickr.com/photos/claudiolobos/

The French company Cap gemini, based out of Paris, has its global operations spread across more than 40 countries. The brand is a leader in IT services providing consulting, professional services, outsourcing, etc, which is driven by more than 190000+ employees globally. Over the last few years, Capgemini is consolidated its position as a leading IT company by acquiring several other players in the industry. To name a few, the company has acquired iGate, Fahrenheit 212, LiquidHub-US, etc in the last couple to years. All these acquisitions have helped the company have more business in IT, technology and strategy domains. Green IT is another business initiative of Capgemini which has put the company in the elite company of the top IT companies in the world. The company was formed in 1967 by Serge Kampf and has since then become one of the pioneers in the industry. In India, the company has over 100000 employees. With a consistent performance year after year, the company has also been recognized by several awards from the likes of Gartner, Forrester, Backbase, etc. Capgemini is on 8th Rank in Top IT companies in the world of 2018.

Revenue: $ 15.73 Billion

Profit: 6.4% of its Revenue

7. Tata Consultancy Services :

Tata Consultancy Services has been ranked as no. 1 Indian Multinational IT firm which generates its revenue from various domains.

Tata Consultancy Services has many functional domains like consulting, software development, infrastructure support, and business process outsourcing and its headquarter is located in Mumbai, India. It comes under the world's top 10 largest IT services provider by revenue. As of 2017, it has also been ranked 10th in the Fortune India 500 list. It has various clients of different sectors like Banking and Financials, Consumer Goods and Distribution, Communication, Media & Technology, Energy- Resources and Utilities, Insurance, manufacturing, Life Sciences & Healthcare, Retail, Public services, etc. It has surpassed the Reliance industries by achieving Rs. 6.19 trillion market capitalization and has become the most valued firm in India. TCS is expanding its technology portfolio and is working on the latest technologies like Artificial Intelligence, Machine learning, Internet of things, Cloud Computing and Cyber Security. TCS is on 7th Rank in Top IT companies in the world of 2018.

Revenue: $17.57 Billion

Profit: 22.3 % of its revenue

6. Amazon

Amazon Company is an American multinational technology company based in Seattle that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is considered one of the largest companies in the world. The company initially started as an online marketplace for books but later expanded to sell electronics, software, video games, apparel, furniture, food, toys, and jewelry. In 2015, Amazon surpassed Walmart as the most valuable retailer in the United States by market capitalization
Amazon distributes downloads and streaming of video, music, and audiobooks through its Amazon Prime Video, Amazon Music, and Audible subsidiaries. Amazon also has a publishing arm, Amazon Publishing, a film and television studio, Amazon Studios, and a cloud computing subsidiary, Amazon Web Services. It produces consumer electronics including Kindle e-readers, Fire tablets, Fire TV, and Echo devices. In addition, Amazon subsidiaries include Ring, Twitch, Whole Foods Market, and IMDb. Among various controversies, the company has been criticized for technological surveillance overreach

5. Google:

Google is Founded in 1998 This statistic displays Google's annual revenue from 2002 to 2018. In the most recently reported fiscal year, Google's revenue amounted to 136.22 billion US dollars. Google's revenue is largely made up of advertising revenue, which amounted to 116 billion US dollars in 2018. As of May 2018, Google ranks first among worldwide internet companies, with a market capitalization of 510 billion U.S. dollars.
source

google have its own Search engine known as google search

4. Accenture

Accenture has been listed in fortune global 500 companies and is one of the largest IT companies.

accenture is a global management consulting firm that provides professional services like strategy, consulting, technology and operations services. Accenture started as the business and tech consulting firm of an accounting firm which was named Arthur Andersen. In the year 1989, it separated and Andersen consulting adopted its current name Accenture which means the accent of the future. The company has a headcount of more than 400,000 employees worldwide. Accenture has various business units and all business units have a unique contribution to Accenture’s overall revenue generation. Accenture consulting provides mobility services and digital marketing analytics. Accenture technology focusses on research and development, technology solution implementation, technology labs for emerging technologies. Accenture strategy provides technology strategy services, business strategy, and operation strategy services.

Investments by Accenture in the future-

Digital: Accenture has been recognized as the largest provider of digital marketing services.

Cloud: Accenture is helping various companies to migrate to the cloud to realize the benefit of increased agility at lower speeds.

Security: For various clients, they are providing enhanced capabilities for advanced security and increased productivity. In 2017 their investment has almost been double in acquisition to become more relevant and grow continuously through inorganic and strategic acquisition. Accenture is on 4th Rank in Top IT companies in the world 2018.

Revenue: $34.90 Billion

Profit: 13.3% of its revenue

3. Oracle

Oracle corporation headquarter is located in Redwood Shores California and it is one of the renowned American MNC.

Oracle has the second-highest revenue in the software industry after Microsoft with an employee base of around 1,35,000. The company is widely known for its ERP solutions, database development and management, supply chain management software and Customer relationship management software. Oracle has a wide customer base having more than 400,000 customers across the globe and has its presence across a wide variety of industries in more than 150 countries. Oracle is known for its user-friendly applications and always tries to eliminate the complexities from the applications they build like applications ranging from data center operations to cloud applications which can be a roadblock for business innovation, speed, flexibility, manageability, reliability, security, and engineering.

It enables its customers by providing smart solutions that add value to their business as well as their users and customers. Oracle has more than 16,000 patents worldwide. The company is focussing majorly on building intelligent cloud applications, integrated cloud platform, open-source platform for developers, ERP solutions and analytical tools which use machine learning algorithms to generate results. Oracle is also developing its capabilities in AI, machine learning, IoT, blockchain, human interface technologies all of which aimed to enhance customer capabilities so that they can develop their own innovative products and services. Oracle investment is huge in Research and development activities and it was $6.5 billion in the year 2017. Oracle is on 3rd Rank in Top IT companies in the world 2018.

Revenue: $37.73 Billion

Profit: 24.8% of its revenue

2. IBM

International Business Machine (IBM) is an American MNC and is operational in more than 150 countries.

The company was established originally as a computing recording company but was later renamed as IBM (International Business Machines) in 1924. IBM headquarter is present in Armonk, New York, and it has a diverse portfolio of software products and services which they are further expanding to cater to the current growing needs of existing and new users. Major areas from where it earns its revenue are cloud computing, cognitive computing, data analytics and Internet of things, IT infrastructure and security. IBM’s revenue is growing at a double-digit rate. During 2017 they successfully strengthened their position as a leading enterprise for providing cloud services and blockchain leaders for the business.

IBM believes in high R&D investment due to which the company holds the record for most patents generated by a business. IBM has the highest workforce and the company is known for its employee-friendly schemes like the company was among the first corporations to provide group life insurance. IBM is one of the world’s largest employers with nearly around 380,000 employees. Looking ahead, IBM is positioning uniquely to help clients and users to use AI and data analytics to build smarter businesses. Over the past years, IBM invested aggressively in technology and its people but senior leadership also considering IBM to a position in key high-value segments of the IT industry like AI, blockchain, cloud computing, and information security. IBM is on 2nd Rank in Top IT companies in the world of 2018.

Revenue: $ 79.14 billion

Profit: 45.8% of its Revenue

1. Microsoft Corporation

Microsoft Corporation is headquartered in Redmond, Washington, and is one of the largest companies in the world.

Image: pixabay

The products like Microsoft Windows, Microsoft Office, and Internet Explorer, etc is being used by almost every professional in the world. Microsoft was founded by Bill Gates and Paul Allen on 4, April 1975, and it has expanded its market share by diversifying its services from the operating system market to other various software products. It also took advantage of inorganic growth i.e. improve its revenue by acquiring no. of companies. Lastly, Microsoft has acquired Linkedin which is considered to be the largest acquisition for 26.2 billion dollars in 2016 and also it has acquired skype technologies for 8.5 billion dollars in the year 2011. There is a new paradigm shift in technology with the rapidly evolving environment and Microsoft is trying to lead this new era as a front runner. Looking forward Microsoft is focussing on new innovative technologies like Machine Learning, AI and cloud computing to drive new growth that can help them build their own digital capability and provide robust solutions for various users.

There is a huge surge in the growth rate of the gaming industry and Microsoft is investing huge amounts in the $100 billion gaming industry. They have around half a million live member networks of XBOX users. They want Microsoft to be the company of gamers to play the games they want, on the device they want and with the people they want. Microsoft Corporation strategically prioritizing its investments to capture the expanding market opportunities. They are expanding their existing datacentres and they are bringing Azure to various regions globally more than any other cloud services provider and with the best compliance coverage in the IT industry. Microsoft is on 1st Rank in Top IT companies in the world 2018.

Revenue: $53 billion

Profit: 31% of its revenue

Ranking Methodology for Top IT Companies Based On:

1. The top 15 IT companies in the world are considered

2. Parameters like revenues and profit margins are taken

3. Based on the revenues, the final ranking is created.

Here friends good news for you I have my GitHub account where I post lots of small code block which you can customize and run on your machine if you have any doubt regarding that do comment I will always try to help you out

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Top Programing Language

2019-12-23T13:12:00.001+05:30

Most Popular Programming Language 2020

Programming Languages are the set of commands which make the user-defined operation has to be done In the world which is going to be full of automation, it is necessary to learn Programming Language. For beginners programming languages like Python and Ruby

Programing Language is basically used to solve a real-world problem.

On average today there are about 500 to 700 Programming Languages.
In which every language has its own specification and use in industry where some of them are outdated and to handle different operation we use some of the Most popular and powerful languages which are mentioned below.

as well I have suggested some of the books which will be helpful for beginners as well as a learner so you can go through the image links which are mentioned below the article

Programming Languages:

Julia
SQL
Scala
R
Python
Java
Matlab
TensorFlow

1. Julia

Julia is a high-level dynamic Programming Language designed to address the needs of high-performance numerical analysis, and Scientific Computing is rapidly gaining popularity amongst the data scientists. It is a newer language, also capable of general-purpose programming as well and hasn’t been around as long as R or Python.

Due to its faster execution, Julia has become a perfect choice for dealing with complex projects containing high volume data sets. For many basic benchmarks
Julia Programming Language Is Faster runs 30 times quicker than Python and regularly runs somewhat quicker than C code. If you like Python’s Programming Language syntax while you have a massive amount of data, then Julia is the next programming language to learn.

A joint effort between Jupyter and Julia communities, it gives a fantastic program based graphical notebook interface to Julia. People, who are searching for the best performance parallel computing language focused on numerical computing, Julia is a perfect language for them.

2. SQL

SQL (Structured Query Language) is one of the most popular amongst the Data Science field. It is used well for querying and editing the information stored in rdbms(Relational DataBase). And also, mainly used for storing and retrieving data for decades. It is used in managing particularly large databases, reducing the turnaround time for online requests by its fast processing time. Having SQL skills can be the biggest asset for Machine Learning and Data Science professionals, as SQL is the most preferred skill set for all the organizations.

3. Scala

Scala (scalable language) is one of the best-known languages with one of the largest user bases. It is a general-purpose, open-source programming language that runs on the JVM(Java Virtual Machine). Scala is an ideal choice of language for those working with high-volume data sets and has full support for Functional Programming and a strong static type system.

Since it was developed to run on the JVM, it allows interoperability with the Java itself, making Scala a very great general Programming language, while also being a perfect option for data science.
Cluster computing framework Apache Spark is written in Scala. If you want to juggle your data in a thousand processor cluster and have a pile of legacy Java code, then Scala is an incredible open-source solution.

4. R

It is one of the most often used tools. R Programming Language is an open-source language and software environment for statistical computing and graphics, supported by the R Foundation for Statistical Computing. These skill sets have high demand across recruiters in Machine Learning and Data Science.

R provides many statistical models, and numerous analysts have composed their applications in R. It is the topper of open statistical analysis, and there is a clear focus on statistical models which have been composed utilizing R. The public R package archive, contains more than 8,000 networks contributed packages. Microsoft, RStudio, and various organizations give business support to R-based computing.

5. Python:-

Python Programming Language is an extremely popular general-purpose, dynamic, and is a widely used language within the data science community. It is commonly referred to as the easiest programming language to read and to learn. Since it combines quick improvement with the capacity to interface with high-performance algorithms written in Fortran or C, it has become the leading programming language for open data science.

With the advancement of technologies such as Artificial Intelligence, machine learning, and predictive analytics, the demand for experts with Python skills is rising significantly. It is widely used in web development, scientific computing, data mining, and others.

6. Java

Java is an extremely popular, general-purpose language that runs on the Java Virtual Machine (JVM). Many numbers of organizations, particularly MNC organizations use this language to create backend systems and desktop/mobile/web applications. It is an Oracle-supported unique computing system that empowers portability between platforms.

7. MATLAB

Matlab is developed and licensed by MathWorks. It is a quick, stable and ensures solid algorithms for numerical computing language used entire academia and industry. Considered to be a well-suited language for mathematicians and scientists dealing with sophisticated mathematical needs such as Fourier transforms, signal processing, image processing, and matrix algebra.

MATLAB widely used in statistical analysis such as applications or day-to-day roles requires intensive, advanced functionality in mathematical makes it a serious option for data science.

8. TensorFlow

TensorFlow is an excellent open-source software library for numerical computation. It is a machine learning framework suitable for large-scale data. It works on the basic concept. For instance, if you want to perform a graph of computations in Python, once you defined, then TensorFlow will run it by utilizing a set of tuned C++ code.

One of the most significant advantages of TensorFlow is that the graph can be broken into many chunks that can keep running in parallel over various GPUs or CPUs. And also supports distributed computing; thus, you will be able to train huge neural networks on immense training sets in a short time.

TensorFlow is the second generation system from Google Brain. It powers a large number of Google’s large-scale services, like Google Search, Google Photos and Google Cloud Speech.

So these are a list of Programming Languages which you can learn in 2020.

here is link Github account

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