Laravel, the framework of PHP   Laravel is a free , open source PHP web application framework that was first released in 2011, created by Taylor Otwell and is designed to make it easier to build robust web applications. Laravel has gained popularity due to elegant syntax and extensive documentation and that’s why developers like it. It is used by many developers worldwide to built variety of web applications, from simple blogs to large scale enterprise –level systems. Laravel offers a wide range of offers and tools for developers , including powerful CLI( command line interface, a modular structure, a built-in ORM ( object relational mapping) system and support for multiple database systems. It builds complex web application with minimum effort as it also includes features such as routing, middleware and authentication. Some key features of Laravel:
  1. Middleware: A middleware system that allows to add additional functionality to application’s HTTP requests.
  2. Routing: A flexible routing system which makes it easy to define routes for applications.
  3. Artisan CLI: A command line interface that provides a variety of helpful commands for managing Laravel applications.
  4. Blade templating engine: A lightweight and powerful templating engine which makes it easy to create dynamic and reusable views.
  5. Eloquent ORM: A simple and intuitive database query builder that makes it easy to interact with databases.
Laravel has also a vibrant ecosystem of third-party packages and plugins that makes make it easy to extend the functionality of frameworks. Overall, Laravel is a popular choice for web developers who want to build scalable and robust web applications efficiently and very quickly. Laravel Training, Projects and Placements by DOCC Kolkata. Call 9433526196   
Artificial Intelligence: What It Is and How It Is Used Artificial intelligence (AI) is truly a revolutionary feat of computer science, set to become a core component of all modern software over the coming years and decades. This presents a threat but also an opportunity. AI will be deployed to augment both defensive and offensive cyber operations. Additionally, new means of cyber attack will be invented to take advantage of the particular weaknesses of AI technology. Finally, the importance of data will be amplified by AI’s appetite for large amounts of training data, redefining how we must think about data protection. Prudent governance at the global level will be essential to ensure that this era-defining technology will bring about broadly shared safety and prosperity. When most people hear the term artificial intelligence, the first thing they usually think of is robots. That’s because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth. Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. Researchers and developers in the field are making surprisingly rapid strides in mimicking activities such as learning, reasoning, and perception, to the extent that these can be concretely defined. Some believe that innovators may soon be able to develop systems that exceed the capacity of humans to learn or reason out any subject. But others remain skeptical because all cognitive activity is laced with value judgments that are subject to human experience. Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. Researchers and developers in the field are making surprisingly rapid strides in mimicking activities such as learning, reasoning, and perception, to the extent that these can be concretely defined. Some believe that innovators may soon be able to develop systems that exceed the capacity of humans to learn or reason out any subject. But others remain skeptical because all cognitive activity is laced with value judgments that are subject to human experience. Artificial intelligence can be categorized into one of four types.
  • Reactive AI uses algorithms to optimize outputs based on a set of inputs. Chess-playing AIs, for example, are reactive systems that optimize the best strategy to win the game. Reactive AI tends to be fairly static, unable to learn or adapt to novel situations. Thus, it will produce the same output given identical inputs.
  • Limited memory AI can adapt to past experience or update itself based on new observations or data. Often, the amount of updating is limited (hence the name), and the length of memory is relatively short. Autonomous vehicles, for example, can “read the road” and adapt to novel situations, even “learning” from past experience.
  • Theory-of-mind AI are fully-adaptive and have an extensive ability to learn and retain past experiences. These types of AI include advanced chat-bots that could pass the Turing Test, fooling a person into believing the AI was a human being. While advanced and impressive, these AI are not self-aware.
  • Self-aware AI, as the name suggests, become sentient and aware of their own existence. Still in the realm of science fiction, some experts believe that an AI will never become conscious or “alive”.
The applications for artificial intelligence are endless. The technology can be applied to many different sectors and industries. AI is being tested and used in the healthcare industry for dosing drugs and doling out different treatments tailored to specific patients, and for aiding in surgical procedures in the operating room. Other examples of machines with artificial intelligence include computers that play chess and self-driving cars. Each of these machines must weigh the consequences of any action they take, as each action will impact the end result. In chess, the end result is winning the game. For self-driving cars, the computer system must account for all external data and compute it to act in a way that prevents a collision. Artificial intelligence also has applications in the financial industry, where it is used to detect and flag activity in banking and finance such as unusual debit card usage and large account deposits—all of which help a bank’s fraud department. Applications for AI are also being used to help streamline and make trading easier. This is done by making supply, demand, and pricing of securities easier to estimate. AI is used extensively across a range of applications today, with varying levels of sophistication. Recommendation algorithms that suggest what you might like next are popular AI implementations, as are chatbots that appear on websites or in the form of smart speakers (e.g., Alexa or Siri). AI is used to make predictions in terms of weather and financial forecasting, to streamline production processes, and to cut down on various forms of redundant cognitive labor (e.g., tax accounting or editing). AI is also used to play games, operate autonomous vehicles, process language, and much, much, more. As an AI language model, I do not endorse or promote any specific training or educational institution. However, I can provide information and resources about AI, Python, and Django programming languages for individuals who are interested in learning more about them. There are many online courses, tutorials, and resources available that can help individuals gain knowledge and skills in these areas. Additionally, there are many open-source resources and communities available for individuals who want to learn and contribute to the development of AI and related technologies. Coding ,Python-django-AI Training by DOCC Kolkata. Call 9433526196
Web Technology is something which started playing an important role in the world we are living . Technology makes our life simpler by developing various soft wares and for developing these soft wares we need a programmer and a designer.
Web/Apps programmer, or coder, is someone who writes computer software. The term computer programmer can refer to a specialist in one area of computer programming or to a generalist who writes code for many kinds of software. One who practices or professes a formal approach to programming may also be known as a programmer analyst. The term programmer can be used to refer to a software developer, software engineer, computer scientist , or software analyst.However, members of these professions typically possess other software engineering skills beyond programming.
Web/Apps/ software designers create and test software applications used for business, scientific, industrial and entertainment purposes.
In reality software designer and developer roles are always combined. Even in larger environments where architects have separate role, the designer and developer role is joined. The designer role (when being also implicitly developer) works with existing abstractions. However when new people join the project as developers, they often indeed are developers for the short while before they grasp the design style of the project. It helps to understand that there are two different roles as it helps to understand the time it takes for new people to adapt into the team’s or project’s way of doing. Software designer role is in action when the implementation-side design is done. Software developer role is in action when the actual implementation is done. Developers write the code that actually performs the tasks. Developers are supposed to follow the agreed software design rules to keep their code aligned with the rest of the code base and to be a designer and a good coder, proper guidance and practices are required .
DOCC Kolkata provides a homely environment and proper guidance for any individual IT or non IT to become a coder and a designer. Call: 9433526196
written by upasana, DOCC kolkata.
Great explanation of the roles of a computer programmer and software designer! It’s true that these roles often overlap and that developers need to follow the agreed software design rules to keep their code aligned with the rest of the code base. It’s also good to hear that DOCC Kolkata provides a homely environment and proper guidance for individuals to become coders and designers. It’s important for aspiring programmers and designers to receive proper training and guidance to become proficient in their roles.  
PHP Programming at present day: PHP is a scripting language used predominantly for web programming. It is very popular mainly because it is open-source and you don’t have to buy a license or copy to install it on your computer, and the websites created using it are very dynamic and attractive. PHP community is very active and solutions for any technical problem can be found online, either on websites, blogs or forums. According to a Netcraft survey, more than 100,000,000 hostnames have PHP coding and it is installed on more than 20 million websites and one million web servers. Popular websites such as WordPress use PHP as their publishing tools. How long will it take for me to learn PHP? Do I have to take a course? To learn PHP, it is very important to learn C and C++ since most of its run time code is made of C libraries and it is also scripted in C. PHP is very easy to learn – it is a straight-forward language and does not have many complexities. When I was doing my under graduation in Computer Applications, a basic PHP course was offered to us as part of extra credits. We all could write a simple, functional script in a matter of minutes. There are dozens of websites that provide free step-by-step guides to learn PHP so much so that you can become a master of the language just by self-study. A living example is my dad who, at age 70, is trying to learn PHP to improve the functionality of his website on temples which is his retirement hobby. He was able to succeed just by reading online tutorials. If a 70-year-old can do it, I am sure you can too!! What do recruiters look for in PHP programmers? PHP programmers who are skilled in languages like C, C++ and Java, and also keep abreast of the latest developments in mobile and wireless technologies, are in great demand. A Bachelor’s degree in Computer Science or Computer Applications is a necessary criterion to join most companies as a PHP programmer. But, a Bachelor’s degree in any stream along with a certification in PHP can also work. What can I do as a PHP programmer? With knowledge of PHP, you can become a Smartphone application developer and make a lot of money, while having fun at work! Various web development companies require PHP programmers to develop websites for their clients. You can also freelance and work independently for clients. If you know other related web programming languages, you can sit at home and build a prosperous career. What is the remuneration like? According to PayScale, web developers earn an average salary of Rs. 3-6  lakhs per annum. As a fresher, you will start at about Rs. 10,000-20,000 per month, but with experience your salary can go up to Rs 12 lakhs per annum. Where can I find jobs with my PHP skills? You can find jobs in: Web development companies E-publishing houses Large corporates which have a dynamic website E-commerce companies Freelance websites like 99designs.com, elance.com, Sortfolio etc. Digital marketing companies Product companies like Google and Amazon PHP will help strengthen your web-developing skills and make your resume more attractive to a recruiter looking to fill relevant openings. But, it is essential that you also know other web programming languages like HTML, XML, etc, along with PHP to equip yourself as an overall developer. Visit : PHP Training Institute DOCC Kolkata. www.docckolkata.com / www.docckolkata.com/softsolCall 9433526196
PHP Developer:  Job Profile. PHP developer are required to Learn about the education and preparation . Get a quick overview of requirements, details of degree programs, job duties, and required skills to determine if this career is right for you. PHP developers design, build, test, and debug database-driven web applications in the PHP scripting language. These applications are dynamic and users can interact with them. PHP programmers usually need a degree in computer science and also need to know how to code in other programming languages ​​and work with database packages. Individuals can get certified in a variety of programming languages. Overview of PHP Developers . PHP is a server-side scripting language that allows users to interact with the databases underlying web pages. Most PHP programmers complement their skills with knowledge of the software that PHP works with to create dynamic web pages. This software contains HTML code, other scripting languages ​​and some basic programming languages. Experienced PHP developers who work primarily with database and storage applications are also familiar with database packages such as My SQL and Oracle. Responsibilities : A PHP developer is responsible for designing and implementing website functionality by writing PHP script code and templates. The programmer combines PHP with other programming protocols to design, build and manage application packages such as report logs, games and e-commerce shopping carts. PHP developer uses testing and debugging skills to ensure this and other web applications are working properly. Job Outlook The BLS reported that developer job growth will be excellent between 2012 and 2022 with a projected job growth rate of 22%. The computer programming space will see slower growth at an expected rate of 8%. By expanding their knowledge base with newer technologies like cloud computing and programming languages, PHP developers can become software engineers with careers that can progress to management positions. If you want to learn web development very easily, PHP is the language you need to master. DOCC Kolkata, www.dockolkata.com Call 9433526196 As mentioned earlier, PHP developers are responsible for designing and implementing website functionality using the PHP scripting language and other programming protocols. You work primarily with database and storage applications and are familiar with database packages such as MySQL and Oracle. Becoming a PHP developer usually requires a computer science degree and knowledge of other programming languages. PHP developers need to know about testing and debugging to ensure the application is working properly. Job prospects for software developers are excellent, with job growth estimated  between 2012 and 2022, while computer programming will see a more modest growth of 8%. To be successful in this area, PHP developers must constantly expand their knowledge base with new technologies such as cloud computing and programming languages. A career in PHP programming can lead to promotions to managerial positions or to software engineering. Those interested in a career in PHP programming can get training from institutions such as DOCC Kolkata (www.dockkolkata.com) that offer courses in web development and PHP programming. Call 9433526196
CODING IN COMPUTER PROGRAMMING TODAY AND TOMORROW   Today, coding and programming are essential tools for anyone who wants to stay ahead in the technology race. The ability to create and understand computer code is becoming increasingly valuable in a wide range of industries, from web development to software engineering to artificial intelligence. With the right education and training, you can learn the skills necessary to become a successful coder. Tomorrow, coding and programming will continue to be important tools for people in many industries. With the rise of artificial intelligence and robotics, coding and programming will become even more valuable for those who want to stay ahead of the technology curve. As technology advances, it is likely that coding and programming will become even more important for a wide range of fields and applications. Coding and programming skills can help you become a successful software developer, web developer, or data scientist, and they are also becoming increasingly valuable in a wide range of other industries. Learning to code and program gives you the ability to create your own projects and be creative with technology. With the right education and training, coding and programming can open the door to a world of career opportunities. Coding and programming are essential skills for anyone looking to stay ahead of the technology curve. With the right education and training, you can learn the skills necessary to become a successful coder and programmer. Coding and programming help you create projects, be creative with technology, and open the door to a world of career opportunities. Different programming languages have their own strengths and weaknesses, so it’s important to select the language that best fits your individual needs. With the ever-changing landscape of technology, coding and programming skills are sure to be valuable for years to come. Coding and programming are the building blocks of modern technology and software development. With the right knowledge and skills, you can create powerful applications, websites, and software programs that help drive innovation. Coding and programming are also essential skills for anyone looking to stay ahead of the technology curve. What are the benefits of learning coding and programming? Learning coding and programming can give you a range of valuable skills and experiences that are applicable to many areas of work and life. By learning coding and programming, you can gain an insight into how computers think and use logic, which can be beneficial in problem solving and analytical thinking. Additionally, coding can help you develop an understanding of how to create software applications, websites and other digital products, helping you to stay ahead in the digital age. Finally, coding and programming can open up new job opportunities and career paths, as it is an in-demand skill that is becoming increasingly valuable in the workplace. Coding and programming are essential skills for anyone looking to stay ahead in the rapidly changing world of technology. Learning coding and programming can open up a world of career opportunities and help you create powerful applications, websites, and software programs. Different programming languages have their own strengths and weaknesses, so it’s important to select the language that best fits your individual needs. With the right education and training, coding and programming can give you the skills necessary to succeed in the digital age. Is coding a programming language? Coding is a computer programming language that helps to communicate with a computer. Computers do not understand human languages. Coding allows humans to communicate with the compute.   Why is coding important? Dennis Mac Alistair Ritchie ,an American computer scientist  invented “CODING”. It is using a language that a computer understands to give a computer instructions in order to perform specific functions. Coding allows us to create things such as computer software, websites, apps and video games. There are various types of different code, depending on what you want to develop.   Coding is a computer programming language that helps to communicate with a computer. Computers do not understand human languages. Coding allows humans to communicate with the computer. Coding is a process of establishing a successful communication between a software program and the computer hardware. The compilers translate the program into assembly language. The coding process converts the assembly language to Binary Coded Signals, whereas Programming is passing the instructions and information to the computer that describes how a program should be carried out. Programming helps computers to perform certain actions. Various types of programming languages available in the market, like C, C++, Java, Python etc., help develop new and creative technology.

Definition of Coding:

Coding is an act of translation. It writes the user’s instructions in the form of a computer program. It converts the computer program into low-level language codes and feeds it to the computer for execution.

Definition of Programming:

Programming is an act of designing and developing a logical software solution to the problem statement. It involves designing and developing the algorithms, flowcharts, and implementing the solution using a programming language.   Which programming language is best for applications? Python and C++ are two of the best programming languages for software development, though each language has its ideal uses. Python is versatile in its practical applications; developers often use it to power artificial intelligence, machine learning, web, and development.   Some common object-oriented programming (OOP) languages include:
  • Java. ,Python., PHP, C++ , Ruby.
Which coding is better for future? JavaScript is considered to be an ideal programming language if the objective is to create dynamic web elements such as animated graphics, interactive maps, etc. As this language is extensively used in web development, building web servers, game development, etc., you know how much of scope it beholds. Why is programming now called coding? What’s The Difference Between Coding and Programming? While coding and programming have a lot of overlap, there’s one main difference. Coding describes one particular skill: the act of writing computer code. Programming involves coding, as well as a range of other, related web development skills. Which is most powerful programming language? There are many powerful programming languages in existence, but the most powerful one is undoubtedly C++. C++ has the ability to scale up or down depending on the needs of the user, making it an incredibly versatile tool. What is the fastest programming language? “C” is called as Mother of Programming Languages. One of the most important factors to consider when ranking programming languages is speed. C++ is the fastest language according to a number of measures, including compilation time and execution speed. In this section, we will look at some ways in which C++ beats out other programming languages in terms of performance. What are the 4 types of programming? Functional Programming Language. Scripting Programming Language. Logic Programming Language. Object-Oriented Programming Language. What is coding known as? What is coding? Coding, sometimes called computer programming, is how we communicate with computers. Code tells a computer what actions to take, and writing code is like creating a set of instructions. Python, as known to many, is a server-side language that is not just easy but also widely used. Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. As good as artificial intelligence (AI) has become in answering queries and writing code, there will still be a need for developers Why Learn Coding and Programming? In recent times technology has changed the world differently. All the growth and the technology have improved much faster than you think. All these changes are because of the development of software. When you think about all that software, the coding and programming come into the picture. With the help of coding and programming, everything was improving in a better way. These coding and programming skills are having a huge impact on one’s career. They have proved that they can easily change anything. These are not only helping software, and in everyday life, these are helping in every sector and showing great results. DOCC Kolkata is providing the best coding and programming language training. With the help of the experienced trainers, you can easily learn all the coding and programming languages such as Python, Java, C, C++, JavaScript, PHP, etc. All the training sessions will be hands-on and interactive. The trainers will provide you with the best practices and guidelines so that you can easily learn the coding and programming languages. During the training, you will learn the basics of coding and programming, how to create and debug a program, how to use different coding and programming tools, and much more. With the help of this training, you can become a professional coder and programmer.. Coding and programming are essential skills for anyone looking to stay ahead of the technology curve in today’s day and age. With the right education and training, you can learn the skills necessary to become a successful coder and programmer. With the ever-changing landscape of technology, coding and programming skills are sure to be valuable for years to come. Coding and Programming Language (Online and Offline) Training by DOCC Kolkata. Call 9433526196. Visit www.docckolkata.com      
Angular and it’s vision for the future.
Angular is a framework for building single-page client applications using HTML and Type Script. It implements core and optional functionality as a set of Type Script libraries that you import into your applications.
Angular is an open-source front-end JavaScript framework used primarily for developing single-page web applications (SPAs) and dynamic web applications.
There are certain fundamental concepts on which the architecture of Angular applications. The basic building blocks of the Angular framework are Angular components that are organized into Ng Modules which collects related code into functional Angular can choose among and modify according to your program logic and data. Components define views , which are sets of screen elements use services, which provide specific functionality not directly related to views. Service providers can be injected into components as dependencies, to make code modular, reusable, and efficient. An Angular application is defined by a set of Ng Modules .
In addition to components and modules, Angular also relies heavily on dependency injection, which allows components and services to be easily injected with the dependencies they require. This promotes modularity and reusability by separating concerns and allowing components and services to be easily tested in isolation. Another key concept in Angular is data binding, which enables synchronization between the model and view. There are several types of data binding in Angular, including interpolation, property binding, event binding, and two-way binding. Angular also provides a robust set of directives, which are used to manipulate the DOM, apply styling, and add dynamic behavior to components. Directives can be either built-in or custom, and they are a powerful tool for creating reusable, declarative code. Finally, Angular provides a comprehensive set of tools for managing application state, including observables, pipes, and the RxJS library. Observables enable asynchronous programming, while pipes provide a convenient way to transform data in templates. Overall, Angular’s architecture is designed to promote modularity, reusability, and efficiency, while providing a rich set of tools for creating complex and dynamic web applications. Angular is a popular JavaScript framework used for developing single-page applications (SPAs) and web applications. The framework is based on a set of fundamental concepts that form the architecture of Angular applications. These concepts include:
  1. Components: Components are the basic building blocks of an Angular application. They define the views of the application and are responsible for rendering the user interface (UI). A component encapsulates the HTML template, the logic that controls the view, and any associated styles.
  2. Modules: Modules are collections of related components, services, and directives that form a functional unit of the application. A module can be used to organize the application into logical blocks and to provide lazy loading of code.
  3. Services: Services are used to provide functionality that is not directly related to the UI. Services can be used for data access, validation, logging, and other tasks. They are typically singleton objects that can be injected into components as dependencies.
  4. Directives: Directives are used to add behavior to the HTML elements in the application. They can be used to create custom HTML tags, modify the behavior of existing tags, or provide reusable UI components.
  5. Templates: Templates define the structure of the views in an Angular application. They are used to bind data to the UI and to define the behavior of the components.
  6. Dependency Injection: Dependency Injection (DI) is a design pattern used in Angular to manage dependencies between objects. It allows for the creation of loosely coupled components, making the code more modular, reusable, and efficient.
  7. Angular application is defined by a set of Ng Modules. These modules are used to organize the code into logical units and to provide lazy loading of code. The modules can be used to manage dependencies between the components and services in the application. Overall, these fundamental concepts form the basis of the architecture of Angular applications, making it a powerful and flexible framework for building modern web applications.
There are certain fundamental concepts on which the architecture of Angular applications depends. The basic building blocks of the Angular framework are Angular components that are organized into Ng Modules which collects related code into functional Angular can choose among and modify according to your program logic and data. Components define views , which are sets of screen elements use services, which provide specific functionality not directly related to views. Service providers can be injected into components as dependencies, to make code modular, reusable, and efficient. An Angular application is defined by a set of Ng Modules . What are the types of Angular? Angular has all the versions which came after Angular JS (Angular 1), Angular 2, Angular 4, Angular 5 and now Angular 6. It has the latest and most refined framework till date to design a web application that is dynamic and responsive. What is good about Angular? Angular offers powerful DI instrument and services to resolve various productivity issues and speed up the development process as efficient problem solving patterns: Dependency Injection (DI) is a design pattern that makes it possible to improve the efficiency and  modularity of an application. Classes, Modules, components and services are that use decorators Decorators are used by modules, components and services These decorators mark their type and provide metadata that tells Angular how to use them. View is defined as the metadata for a component class associates it with a template. A template combines ordinary HTML with Angular directives and binding markup that allow Angular to modify  HTML before rendering it for display. The metadata for a service class provides the information Angular need to make it available to components through dependency injection ( DI). Each of these subjects is introduced in more detail in the following pages. Introduction to Modules. Introduction to Components. Templates and views. Component metadata. Data binding. Directives. Pipes. Introduction to services and dependency injection. Features of Angular: Any app size. Start quickly. You can start small knowing that Angular’s tools support your apps as they grow. … A great community. Community resources. … Build productively. Powerful command-line interface. … For everyone, everywhere. Internationalization tools. Scope of Angular: The scope is the binding part between the HTML (view) and the JavaScript (controller). The scope is an object with the available properties and methods. The scope is available for both the view and the controller. Why use Angular instead of JavaScript? Angular empowers developers to build rich internet applications (RIAs) more easily. Where many JavaScript frameworks focus on expanding the capabilities of JavaScript itself, Angular  instead provides methods for enhancing HTML. Angular expands the capabilities of HTML beyond being a simple markup language Why Angular is called framework? Angular is considered a framework which offers strong opinions how application to be structured and moreover much more functionality out of the box, don’t need to decide routing libraries to use, just start coding. What is difference between React and Angular? Angular is a full-fledged framework, while React is a JavaScript library. Why Angular is a platform? Angular is a development platform, built on Type Script. As a platform, Angular includes: A component-based framework for building scalable web applications. A collection of well-integrated libraries that cover a wide variety of features, including routing, forms management, client-server communication, and more. Businesses are striving for an ultra-effective online presence these days. Hence, the need for a robust web development framework with cutting-edge features is at an all-time high. Angular is a highly popular web development framework that offers rich user experiences, fast responsiveness, and code maintainability. It is one of the most sought-after JavaScript frameworks and is aimed to make front-end development much simpler and accessible.   Angular-React JS-Java script Training by DOCC Kolkata. Call 9433526196  
Introduction : The world is now a hot bed of technology and for good reason. Previously, even may be a decade or two back, we couldn’t imagine the number of changes that we see now. It was close to impossible to think that we would have machines that would have the capability to think for themselves. During this time period, all work, starting from the simple ones to the most complicated, happened manually. Imagine analyzing hundreds of data sets to come to one conclusion! As difficult as it was, this was the way things worked. That is until the magic of Data Science was discovered. With the artificially intelligent machines, however, the dynamics of the corporate world changed drastically. Businesses that began employing smart machines thrived due to the sheer accuracy of the computers. Large volumes of data could now be processed in a matter of minutes, even seconds. Employees no longer had to grind away just to come to a simple conclusion. Instead, they could concentrate on better things that the machines could still not do. This marked an era of change and technological advancements. Today, companies find themselves using the concept of Data Science and Machine Learning to do things faster and more efficiently. Top 10 Data Science Skills To Learn : Data Science, as we have just seen, is a topic that assumes a position of vast importance in today’s world. It is changing constantly, giving rise to more things- better things. These are, in turn, is employed to make things work at a faster pace. While the stream itself is producing millions of deltas, there are a few that originate and associate directly with Data Science. While the subject will continue to give birth to many more corollaries in the future, these are some of the basic things that will always remain. All Data Science Certification Courses help you learn these as it is inevitable in case you want to become a Data Scientist. While there are plenty of courses that you can take, you should always aim for the best ones first. And the best course is provided by a company called Great Learning. They are pioneers in this field and have trained thousands of students who are now successfully placed in their fields.
  1. Python: Data Science is all about programming. And Python is one of the most well-known languages of the world. Why? The reasons are simple.
  • Ease of computing: Python is an easy language to master. It hardly has any punctuation and works solely on codes and indentation. This makes Pythona universal favorite.
  • Powerful language: Python is a powerful language as it can be used to generate many different types of software. It is one of the best languages available under object-oriented programming. Its power lies in the generation of complex software that is now used everywhere, all over the world.
  1. Machine Learning:Machine learning is a fundamental concept of Data Science. It is safe to say that Data Science is driven by the concepts of Machine Learning. For a computer to learn the science behind processing data, it has to go through the process of machine learning. Possessing the required knowledge for Machine Learning is an important step in becoming a Data Scientist. It is only natural for a person to acquire this skill in such a scenario. Predictive analysis is yet again an important part of machine learning that you will be required to master.
  2. Neural Networks:Neural networks in Artificial Intelligencerefers to the working of neurons in a human brain. The reason why this is one of the most important parts of learning about AI, is the simulation of the neuron patterns to form a cognitive learning system. Neurons in our brains are designed to retrieve memory from the slightest of hints produced. This is an important capability that all Artificial Intelligence-driven machines are required to have. The neurons are also responsible for all other activities that make humans the most intelligent on the planet. In that light, it is important to say that a neural network can be primarily of three types:
  • Feed forward Neural Network:This is the type of neural network that is used most commonly today. In Artificial Intelligence, it is used to perform some basic operations like basic pattern recognition and image recognition. Feed forward neural network is so-called as it facilitates the flow of information in one direction only. This genre of a neural network can further be divided into single-layered networks and multi-layered networks.
  • Recurrent Neural Network:Recurrent neural networks, abbreviated as RNN, make use of loops to perform some recurrent operations. Quite naturally, these are way more complicated than feed-forward neural networks and can do much more complex tasks related to image processing. In fact, recurrent neural networks are used in natural language processing and speech recognition operations.
  • Convolutional neural networks: This genre of neural networks is quite complicated and was developed with visual recognition in mind. Today, it is used for operations like object recognition and analysis of videos.
  1. Deep Learning: One of the most important components of the whole Artificial Intelligence package is Deep Learning. Now, we spoke about the usage of neural networks in the previous point and that is clear to us given its content. However, there is more to it than meets the eye. When we say ‘deep learning’, we mean the cognitive ability of a machine to imitate the way humans learn and remember things. One very important aspect of Artificial Intelligence is making some important decisions and that is facilitated by a complex structure of neurons. The study and subsequent imitation of this process are essentially what we mean by deep learning.
  2. Natural Language Processing:Natural Language Processing is a sub field of Artificial Intelligence and is essentially concerned with the processing of natural languages. It deals with the interaction between humans and computers using natural languages. This requires the computer or the software to understand the respective languages and to know what to say after what and how exactly to respond. Given that Artificial Intelligence is a lot about interacting with humans, Natural Language Processing is a crucial part of designing an interface that is to understand the natural language of humans
  3. SQL:SQL is the abbreviation of Structured Query Language and is used to manipulate information in a database management system. Although the topic does not sound like one that has something to do with artificial intelligence, it actually is more than helpful to the eye. Databases are required to store the information that will be fed to the machine, which in turn will serve as the data that the machine will use to learn various things. Hence, it is important to know the usage of databases, and hence, of SQL.
  4. NOSQL(Not only SQL):NOSQL is mostly a simpler, or a more refined version of SQL. It deals with the retrieval of information from a database that does not have relational schemas. As for SQL, relational schemas formed a crucial part of the designing system. However, in NOSQL, it is completely the opposite. It is used mainly for the databases where relational tables are not necessary. Therefore, a small amount of data works just fine on NOSQL. Needless to say, using NOSQL in such situations is way better than using SQL as the latter is more complicated than the former.
  5. Hadoop:Hadoop is a collection of open-source software that was introduced by Apache. This software was introduced to take care of a large volume of data which can otherwise be difficult to handle. Wondering why Hadoop is essential for Artificial Intelligence? Let us explain how! With Hadoop, feeding data to your artificial intelligence-driven device becomes a thousand times easier than it would have normally been. Moreover, the device will also be able to save further information using this software. However, as a designer, you must know how to operate Hadoop so that you can program your machine accordingly.
  6. Elastic Search:Developed using the language Java, Elastic search is a search engine that is based essentially on the Luce library. This, too, plays an important role when it comes to Artificial Intelligence.
  7. Visualization of Data:Data visualization is a topic that is being widely explored by computer scientists. Artificial Intelligence is not only being driven by this technology, but it is also being used to develop the same. Through data visualization, it is possible to translate a large volume of data into images that are easier to decipher and use. This allows easier communication between a machine and the user as visualization increases readability.
Some more skills that you must know :
  1. Database Management Systems
  2. Health-care analytics
Conclusion : We have seen the importance of the discussed skills. It is to be kept in mind that these are the ones that are being used a lot these days. However, the ones mentioned below the main list, also assume an important place in the world of Data Science and Machine Learning. Throughout the entire article, there was one thing that was predominantly visible, and that was Data Science. Although we have encouraged the skills that we have mentioned here, it is to be kept in mind that there are many more such skills that one can acquire. One other thing that you must have noticed is the presence of programming languages. Data Science is a subject that breathes through programming. In that light, some of the most important languages here are Python and R. These are the two languages that are ruling over the realm and there is no way you want to skip even one if you wish to be a Data Scientist. If you want to learn how Data Science works, you can take a Data Science course. These courses shed light on a lot of important topics that Data Science encompasses. Moreover, the Data Science Course in India is gaining a lot of ground here. You definitely want to be one of the people to know about the subject while it is still ripe. One organization that teaches Data Science better than the others is Great Learning. They have a fantastic collection of resources that are all given to you for better and comprehensive learning. This is a chance that you do not want to miss out on it. PHP – My Sql- Web Design-Javascript-Jquery-Laravel 5.6-Android-Mobile App.Dev. Technology-SEO-SMO ,Python3.6 programming , Angular js 2.0 , node js, backbone js , React js ,  Internship Training ,  Projects , Placement and Website Design-Developments, SEO Service by DOCC Kolkata. Call: 9433526196.  

What is python?

Python is an interpreted, high-level and general-purpose programming language. Python’s design philosophy emphasizes code readability with its notable use of significant indentation.

What are the uses of Python?

Python is a versatile programming language with applications of wide ranges. Some of the popular uses of Python are: Web Development – Python is used to build web applications, from basic static websites to complex dynamic web applications using frameworks like Django, Flask, Pyramid, and Bottle. Data Science and Analytics – Python is widely used for data analysis, machine learning, and artificial intelligence. It has several libraries and frameworks such as Pandas, NumPy, Scikit-Learn, TensorFlow, and Keras, which help in data manipulation, visualization, and modeling. Scientific Computing – Python is used extensively in scientific research and engineering applications. It has specialized libraries like SciPy, NumPy, and Matplotlib, which are used for scientific computing, numerical analysis, and data visualization. Desktop GUI Applications – Python can be used to create desktop applications using frameworks like PyQt, PyGTK, and wxPython. These frameworks allow developers to create cross-platform graphical user interfaces for their applications. Game Development – Python is also used for game development, with libraries like Pygame, PyOpenGL, and Pyglet. Automation – Python can be used for automating repetitive tasks, such as web scraping, testing, and system administration. Education – Python is used extensively in computer science education as it is easy to learn, has a simple syntax, and is versatile. It is also used in coding boot camps, online courses, and programming competitions. Overall, Python is a powerful and versatile programming language with many applications in various industries, from finance and healthcare to education and entertainment. Python is interpreted programming language of high level. Python’s design philosophy emphasizes code readability through judicious use of sensible indentation. What are the uses of Python? 1. GENERAL WEB DEVELOPMENT / WEB APPLICATION BUILD – Python is one of the easiest programming languages and we mean it right. “Python, emphasizes code readability and allows the use of English keywords instead of punctuation marks .A clean and readable code base helps you maintain and update your software without wasting time or extra effort. 2. COMPUTER SCIENCE + DATA SCIENCE – Python is also used for scientific research and computer science and also has several scientific or science specific libraries including: Astropy for astronomy Biopython for biology and bioinformatics Graphic tool for statistical analysis of Graphs Psychops for Neuroscience and Experimental Psychology. 3. MACHINE LEARNING – Machine learning is an application of A.I.. Using Python for machine learning is pretty cool, so it seemed like one more line item to justify that. Machine learning encompasses financial services, speech recognition . 4.STARTUPS – This might seem like an odd entry on the list, but it’s true: startups, and technology startups in particular, love Python because it’s easy to use and scalable. And I mean scalable. Take Dropbox for example. 5. FINTECH + FINANCIAL INDUSTRY – In 2016, Hacker Rank published a survey of various industries showing which programming languages were their priority when hiring. Python-django Training and Placements by DOCC Kolkata. Apprenticeship and Internship. Call 9433526196 Visit www.dockkolkata.com Author: U Roy, DOCC Kolkata

What is cloud computing?

Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.

Cloud computing is very important as it allows people access to the same kinds of applications through the internet. … This means the device accessing the cloud doesn’t need to work as hard. By hosting software, platforms, and databases remotely, the cloud servers free up the memory and computing power of individual computers.

Benefits of cloud computing :

  • Reduced IT costs – Moving to cloud computing may reduce the cost of managing and maintaining your IT systems. Rather than purchasing expensive systems and equipment for your business, you can reduce your costs by using the resources of your cloud computing service provider.

  • Scalability – Your business can scale up or scale down your operation and storage needs quickly to suit your situation, allowing flexibility as your needs change. Rather than purchasing and installing expensive upgrades yourself, your cloud computer service provider can handle this for you. Using the cloud frees up your time so you can get on with running your business.

  • Collaboration efficiency – Collaboration in a cloud environment gives your business the ability to communicate and share more easily outside of the traditional methods. If you are working on a project across different locations, you could use cloud computing to give employees, contractors and third parties access to the same files.

  • Flexibility of work practices – Cloud computing allows employees to be more flexible in their work practices. For example, you have the ability to access data from home, on holiday, or via the commute to and from work (providing you have an internet connection)

Cloud Computing, Java Training by DOCC kolkata. Visit www.docckolkata.com / Call 9433526196
Written by U Roy, DOCC kolkata