Beloved Programming Languages

Computers understand instructions that are written in a specific language written in a pre-planned syntactical form. This form is called a “Programming Language”. These tasks are often based on abstract mathematics, and some are extremely complex. The fact that computers are Binary in form further complicates the situation, as a computer can only be operated on in binary digital form. The original programs were in fact in binary format, to speak directly to the computer. But this proved to be slow and cumbersome. One of the revolutionary assets of the computer was its extraordinary speed, that left humans far behind. But direct binary communication between man and machine reduced the speed of conversion of instruction to performance of tasks. This is one of the major reasons to create Programming Languages. Since those early days, Programming Languages have proliferated, from the basic Linux/Unix based Open Source and Proprietary Languages. It is time to judge the Most Popular Programming Languages.

Programming Languages

Programming languages use a limited number of keywords, and by combination of these keywords, a vast number of programs of different types are created. There is a close relationship between a Programming Language and Code. A Language can be analyzed into Syntax and Semantics. Some are defined by an SO standard, like C Language.

Types of Programming Languages

Programming Languages can be of varied types. Starting with the earliest, we now list a number of these Languages, some of which are now rarely used, or have been developed further. The Five Main Types are as follows:

  • Procedural Programming Language: this executes a sequence of statements which lead to a result. Multiple variables are used, along with heavy loops, and this is the main difference between this and Functional Programming Languages.
  • Functional Programming Language: Recursive functions are mainly used instead of heavy loops, by the use of stored data. The main focus here is on the return value of functions.
  • Object Oriented Programming Language: the main concept of this language is the viewpoint that the environment is viewed as a group of objects. These objects internally encapsulate the complete data that comprises the object, which can be accessed externally. It stresses reusability through inheritance. Code changes are required by using polymorphism.
  • Scripting Programming Language: started by tiny syntax, these have elements of Object Oriented Programming Language, but are a special category of their own.
  • Logic Programming Language: the computer is invited to choose the logic of its own, by first making declarative statements.

Most Popular

Some of the Most Popular Programming Languages listed below:

Front End:

  • JavaScript: JavaScript is the most popular Front-End Programming Language in the World, and is used for developing web applications like SPA or NPA. Its frameworks are Angular, React and Vuew. It has the capacity to create a high level of animation, buttons, multimedia management etc. Some of its benefits in 2020 are: High Speed browsing on the Client Side, Ability to create crowded interfaces, Regular Yearly updating and Ease of learning.
  • TypeScript: Microsoft specially developed TypeScript in order to counter the increasing complexity of JavaScript. TypeScript 2020 includes complete description of each code component, to prevent disturbance of one element when changing another, and has an extended tool box.
  • HTML 5: Simple to learn, it is easy to create sites with this language. It is supported by any browser; it has light-weight files and is completely free.

Back End:

  • Python: This is the most popular Server Side programming language, and is most often demanded by employers. In 2020 it is free, with a very simple code, with support for most libraries, and the possibility of asynchronous coding.
  • Java: The Java environment displays extraordinary stability. This is why all Android applications are written in Java. It has object-oriented programming, a good level of security, high stability, automatic memory management, and does not require specific hardware infrastructure.
  • PHP: PHP is the highest ranked Back End programming language, used by about 70% of the sites, and about 90% of the code in WordPress. In 2020, it is easy to learn, a huge community and superb de-bugging.

Future Trends point to the overwhelming influence of AI and Speech Recognition on Programming Languages.…

What is Open Source Software? A Brief Intro

Open source software refers to a program that one can modify and share since its design is made public. Open source designates any computer software that is distributed with its source code made available for modification. This implies that programmers can change the software in any way they find it suitable. They can improve functions, fix bugs and adapt to the needs of the software.

Difference with Other Software

There are certain types of software whose source code is only available to the developer who created. The developer has complete control over this software and its modifications and is most often referred to as proprietary or closed software. Only the original author of the software has the right to copy, inspect and modify the software in any way. In order to use this kind of software one has to agree with the user license agreement that is displayed whenever the software is displayed for the first time. Adobe photoshop and Microsoft office are good examples of proprietary software.

Open source software is different in that the developers make the source code available to public so that anyone can be able to view, copy or learn from it or even share it. GNU Image Manipulation Program or LibreOffice are good examples of open source software. Just like proprietary software users need to sign the legal terms for open source software licenses. Open source licenses affect the way people use, modify, study and distribute software.

Why is it important?

Open source technology is very beneficial to both programmers and non-programmers. This is because the inventors of the internet built it on pen source technologies such as Linux operating systems and Apache Web server applications. Anyone who is using the internet today can benefit from open source software.

Whenever computer users view web pages, chat, check mail, stream music online or even play multiplayer games through their mobile devices or game consoles, they connect to a network of computers using open source software and then transmit the data to other devices. The computers that typically do all this work are often located in very far places that users don’t even can access physically which is why they are referred to as remote computers.

More and more people are relying on open source remote computers to perform tasks they might perform on their local devices. For instance, they may use online word processing, image editing software as well as email management which they do not need to install in their personal computers. Instead all they need is access the programs on a remote computer using web browser or remote application.

Why open source software?

Most people prefer using open source software for many reasons. Open source software gives the user control over the software. This is probably the reason why most people prefer open source software. Users are able to examine the code and remove parts that are not doing what they require. Open source software enables people become better programmers as it enhances learning. Other people prefer open source software simply because it is more secure and stable than proprietary software.…

Open Source & GitHub

If you are a tech-savvy or you are a web developer, you must know what GitHub is. However, there are many people who might be reading or hearing about GitHub for the first time. It is a website, which is being used by developers and coders for different purposes. If we talk in the technical language, it is a service based on the cloud where the developers can store their codes, can work on their codes, and can also look after the changes that are made to their codes. There are millions of developers and coders who have registered on the GitHub website. It is a platform for the developers, where they can work along with the other coders and developers. Be it about reviewing any code or about hosting any code, or building any application or software, one can work on different types of projects on GitHub. It has been said that around 87 percent of the developers and coders use the GitHub.

To understand the GitHub in a better way, one needs to understand the basic principles of GitHub, that are Git and Version Control. Let’s know what these two are so that you can have a better understanding of the GitHub.

  • Git – It is created in the year 2005, by Linus Torvalds. It is a version control system and is open-source. This means that all the developers who have registered with GitHub, have the complete code base on their computer system. And it helps the developers in working easily on different projects by merging and branching.
  • Version Control – The version control system is very helpful for the developers. Because whenever they work on any project or create any new project, they make some changes to the codes or update the codes. At that time, the version control system helps the developers to keep a track and record of all the changes that have been brought to the codes. One can easily make use of the codes and can manage them as well with the help of the version control system. The good part about the version control system is that overwriting of the codes is there. As Git helps in making multiple copies of the codes in the repository. By making use of the version control, one can easily work by branching and merging.
  • With the help of the branching, it becomes easy to duplicate the source code by the developer. Once the source code’s duplicate part is being made, the developer can easily work on the duplicate part and can make changes to it. This will not affect the source code and the project related to it. Later on, the developer can do the merging of the source code with the code which he has created and can make it official. But this can be done only when the code works properly. Because of the version control, all the changes that are made to the code can be tracked easily. And if required, it can be reverted as well. Version Control also helps in recording the data about who has modified the code or who has restored the code or who has erased the code. One can always get the history about it.

How GitHub is helpful

GitHub’s website is helpful in a number of ways. We know it is a platform for developers but many people who are learning to code or are interested in the coding also make use of GitHub. Let’s know how it can be helpful for one in different ways.

  • Helps in finding the right tools – When you use GitHub, you come across different projects or different apps which are there in the GitHub marketplace. As there are millions of apps available on the GitHub, one can look for the right app or tool for their use. They can discover new tools easily and can start making use of them.
  • Manage Projects – It is not easy to manage all the projects and coding alone. GitHub provides you the opportunity to work with other people as well, which can help you out in your project. This is one of the reasons why GitHub is being called as developer’s social hub.

GitHub has become a strong tool for many different developers collaborating on different types of projects across different industries. The open source nature of GitHub allows for more than direct collaboration as well. The community can also be a source to view and improve previous projects similar to a current venture. Many dating apps in development take advantage of this feature. It is possible to view past projects of an adult dating site for example in order to create a meet n fuck site and monetize traffic when competing in the adult space this can be a great resource. GitHub is one of the strongest examples of the impact that open source work can have on industries and the collective progress that can be achieved.

Have You Heard of Google Brain?

A brain child of research team at Google, the Google brain is essentially a deep learning artificial intelligence. As part of a unique project in the year 2011, three people started to collaborate on a common platform to build an enormous and powerful deep learning software system. These three men were Jeff Dean who was a Google Fellow, Greg Corrado who was a Google Researcher and Andrew Ng who was the professor at Stanford University. Andrew Ng had already had some good experience and was set to crack the problems of artificial intelligence. They devised the technique to crack the problem by placing it on top of Google’s cloud computing infrastructure.

Andrew Ng-Google Brain co-founder

It later on became very successful that it covered up all the costs of the research expenses that were earlier known as Google X project. The whole concept was based on the idea of mimicking some parts of human brain so that further development on the technology and use of software could be made to bring in further progress in all levels of human intelligence. As more progress was necessary the project later on hired several top researchers and experts to take the evolving technology to newer heights.

Entry of Formidable Artificial Intelligence

What started as a basic research soon blossomed to what is today known as artificial intelligence. In the year 2016 Google Brain did a unique experiment to prove whether it was quite possible for machines to replicate humans in the future. For this they aimed their objective of their research to that of encrypting communications.

In this test, two sets of cryptographic algorithms were generated by AI’s to protect their communication from another AI. Here, it was later found that two original AI or Artificial Intelligence were able to learn and create and develop their own communication right from start without human help. This test was so successful that it began a sort of race to make the artificial intelligence imitate many other parts of human intelligence.

The three AI’s that were created were known as Alice, Bob and Eve. Here one AI called Alice sends a message to Bob another AI and who would decrypt it. Not that simple as the experiment was set out to do. But meanwhile during this process yet another AI by the name of Eve would intercept this message and try to learn it. These three AI’s would be operating without any specific inputs from human beings and that meant that they would be on their own to do these tasks. What later on followed was one of the most remarkable achievements in this area. All three AI’s could on their own devise their own encryption system without the use of any pre-designed cryptographic algorithms.
The test was at once successful and set the stage for further evolution of Artificial Intelligence and gave further boost to Google Brain teamwork.

Architecting and Training of Network

The Google Brain team went on to work in earnest with several promising researches that gave them ample scope with more areas to be explored where real world application of artificial intelligence held enormous potentials. In order to accomplish this formidable position of world wide artificial intelligence or AI or as some call it machine learning, the team went on to create a huge neural networks for the purpose. This was stated to be the largest in the world.

With around 16000 computer processors the Google Brain team could now begin to go in-depth study by first feeding thumbnails images or cats. This was taken from YouTube videos without informing the AIs as to the nature and appearance of cats. Much as anticipated the machines clearly able to identify the cats and themselves were able to make a digital image of the cat. The AIs did this by taking into account various other random inputs and other pictures of the cat and became thus smart enough to move on their own.

The whole thing of such super machines or software programs having their own intelligence worked almost similar to that of the human brain. This indeed was a major breakthrough for the team and for the whole world. The team were now re-enforced with the belief that over a period of time computers may set off a range of task just by the random inputs fed into their software system through algorithms. This naturally set forth for the foundational work from where other robotics would soon evolve.

Future of Artificial Intelligence or Machine Learning

The future of AIs is immense and no words can actually express the substantial improvement it may bring forth for the human beings. The Google Brain team work would be carrying out further researches so that there would be machines in future that would mimic the human brain rather easily. The impacts of artificial intelligence and machine learning could span across so many different industries. A particular industry that tends to adopt new technology quicker than others that you might not expect is the adult industry. Pornography and sex sites are already taking advantage of virtual reality capabilities and AI and machine learning will not be far behind. The implication for the innovative adult products and services that a fuck site willl be able to offer will be astonishing. When it comes to mimicking human behavior this is of course an industry that keeps a close eye on some of these evolving technologies.

However, the Google Brain team would be focusing for the moment on how machines could be made to automatically write and modify code as well. This would result in great cost reduction as well time and energy of manpower. The Google Brain team would therefore focus more on creating such new advanced intelligent agents.

Recently, the team had come out with a proposal to create unique AIs so that the neural network may become the next human kind of intelligence. These future AIs would be able to identify the code used in languages and engage in creating their own paragraphs and so on.

This would also enable the AIs to write code, edit and analyze a particular paragraph and develop unique things on their own. This isn’t an easy thing and may require a great deal of further in-depth research as the Google Brain team knows that taking AIs intelligence to the next level such as the above may require greater knowledge of the ways that such machines would behave. But the team is not lacking on experienced and enthusiastic software engineers and this too may over a period of time arrive like a dream come true.

The team had so far achieved remarkable success while applying the Google Brain technology on a range of Google products. These are Google Translate, Android Speech recognition system, Google Photos search and YouTube videos and much more. …