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   
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
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
 
Front-end development isn’t real  development? There is some sentiment out there that front-end development isn’t real development. It’s a swaggering, trollish sentiment. Still, it’s fun to puff our chests back sometimes. Let’s try to put a point on why front-end development is every bit as difficult and worthy of the title as any other subset. The practice of front end development is similar to playing the bass: it’s easy to learn but difficult to master. There is a lot more to it than HTML and CSS We have to deal with cross browser compatibility. This was far and away the most cited gripe in the group. While Internet Explorer continues to be the brunt of most jokes, every browser has its own quirks that often require special development techniques to overcome. It’s rather expected of us that we know how to build websites that can work cross-browser. We should know what browsers support what and how to debug and overcome browser-specific issues. We should know how to do emulate or otherwise test on a variety of browsers. We should know tools that help us with cross-browser problems either automatically or enable us to write code to handle situations of support and nonsupport of features. We should know how to do fallbacks. We should know about progressive enhancement and graceful degradation. Cross-browser compatibility is a hugely complex development task. In addition to dealing with browser inconsistencies, front-end developers are also charged with developing for as many screen sizes, screen orientations, pixel densities, and input types as possible. The burden of the massive landscape of different screens, browsers, and capabilities lies most heavily on front-end developers.

Frameworks, libraries, preprocessing, dependencies, plugins…

It used to be that linking up a stylesheet and maybe a JavaScript file in the HTML was all that was needed to start designing and building a site. In fact, that’s still the baseline. Today’s development feels a lot different. The toolchain is a lot thicker. We’re making choices about build processes, which libraries to use, what languages to write in, how invested in future syntaxes we want to be, how much we want to depend on frameworks, which third-party tools make sense and feel safe to use. Not only is it fatiguing to think about the choices, it’s increasingly difficult to know what the best choices are and if these choices are smart in the long term. There are just as many choices, or more, at the front end level of development than there are anywhere else. Not to mention the landscape moves extremely quickly. Many of today’s frameworks and CMS’s, straddle the line between lots of different disciplines. Front-end developers are right in the middle of it all. We’re ultimately responsible for design—how the site looks. We’re helping content people ensure they have what they need and they give us what we need. We’re working in templates prying out the data we need in the formats we need. We’re handling user input and ensuring it funneling where it goes for more back-end concerns. The barrier to entry for front-end development is fairly low. Everyone has heard of HTML. They “know enough to be dangerous” as it were. Because that barrier is low and because it’ so easy to dabble, it makes sense people assume there isn’t that much to know and that front-end development isn’t particularly difficult. the maxim about naming things being one of the hardest problems in computer science. Us front-enders are naming things all the time. Class names and IDs, data attributes, file names, communicating patterns with your team. It’s endless. It feels like there are dozens of name choices on an average day. Not to mention the task of copywriting often falls to us, which isn’t quite naming but is in a similar vein of difficulty.

“The right way” and “the wrong way” aren’t as cut and dry as with back-end development.

In back-end development, if what you are expecting to happen happens, you’ve succeeded. Surely they are different ways to get there, some better than others. But in front-end development, the paths to completing a task seem endless. Even if you’ve seemingly succeeded, it can feel like just a matter of time until a bug is found in how you’ve done it.

CSS is very hard to test.

Back-end languages (and even JavaScript) can use unit testing and integration testing to help make sure the code works as expected. CSS has no such luxury. There are certainly people trying and there is some information and tools out there. But none of it is all that great and there are very few success stories. Bugs can be subtle, confusing, and unexpected. Worse, a seemingly little change may have an adverse effect in an unexpected place where you don’t notice until it’s too late. There are linting tools, which help a little. There are some style guide enforcement tools, but they don’t really help enforce more important things like adherence to naming standards. Front end developers need to hold a very strong understanding of the entire website in their head in order to be most effective and efficient.

JavaScript is just as complex as any other programming language. It’s weird and hard.

JavaScript is front-end development. JavaScript is programming. Programming is part of software development. Software development is hard. The rule of thumb is that 20% of the waiting for a website to load is from back-end concerns. Once HTML document has arrived, the rest of loading time is the concern of front-end developers. What resources are loaded, how many resources are loaded, how optimized they are, in what fashion they load in and how that feels, etc.

It’s where accessibility happens.

Building sites that are visually stunning is one thing and the accessibility of them is another. Designers care very much how users interact with a site and that might not always be a visual interaction. Designing and developing for disabilities is a discipline unto itself, but is most tightly tied to front-end development. Accessibility has its own set of specifications that sadly aren’t typically taught along with traditional front-end development training.

It’s hard to hire for.

Front-end developers are typically the hardest seats to fill. So front-end development is“real” development. Written by D Roy, DOCC Kolkata. , Web design and Development Trainer. Visit www.docckolkata.com /  Call 9433526196    
PYTHON AND AND ITS FRAMEWORK Django is a free and open source web application framework written in Python. A framework is nothing more than a collection of modules that make development easier. They are grouped together, and allow you to create applications or websites from an existing source, instead of from scratch. This is how websites – even simple ones designed by a single person – can still include advanced functionality like authentication support, management and admin panels, contact forms, comment boxes, file upload support, and more. In other words, if you were creating a website from scratch you would need to develop these components yourself. By using a framework instead, these components are already built, you just need to configure them properly to match your site. The Official Project Site describes Django as “a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source.” Django offers a big collection of modules which you can use in your own projects. Primarily, frameworks exist to save developers a lot of wasted time and headaches and Django is no different. Django was created with front-end developers in mind. “Django’s template language is designed to feel comfortable and easy-to-learn to those used to working with HTML, like designers and front-end developers. But it is also flexible and highly extensible, allowing developers to augment the template language as needed.” If you’re going to be working with Python, especially for web applications or web design, you’ll want to remember the Django framework. It will certainly come in handy. CherryPy is another Python-based framework that is great to work with, although it is designed with the absolute minimalist in mind. It’s a framework you’ll want to explore after you already have some experience working with Python.

Python-Django-Macheine learning-AI Training and Placements by DOCC Kolkata. Call 9433526196

 
  The popularity of Java script grows every day. It’s definitely the best scripting language which allows creating exciting  interfaces and simplifies the development of web applications, being a perfect open source app development software and making the sites interactive and convenient to use. The Javascript web development frameworks are issued and updated daily and that’s why it is difficult at times to go with the tides and understand which famework is most suitable and best matching for the project. Before choosing a web app framework to apply the requirement  and needs of the project to be taken into consideration. The advantages of the frameworks Javascript  framework is a number of features and functions written in Javascript language and ready  for the usage of the developers. These features simplify the interaction between the app and server and speed up the manipulating of the web page or app elements. The main advantage of using a web application development  frameworks is the fact that it provides immediate reaction to the user interacting with the site immediately. The basic content of the traditional sites without frameworks is stored  on the server and any new content , which is necessary to be upload requires reloading of pages. When frameworks are used , only the necessary blocks of a website are reloaded. Some of the most advantageous benefits of the frameworks ‘usage:
  • COST: The cost of the app development for websites decreases due to the JavaScript frameworks because they are free and open source code.
  • Development speed: Java Script frameworks have good documentations. Some of the JavaScript frameworks are supported by such giant companies as Google etc. Due to such a lot of information, the speed of development increases.
  • Efficiency: The usage of the pre-created functions and templates allows to carry out the projects more effectively. The developers have to write less code, which results in delivering projects meeting higher standards and more quickly.
Most used and popular frameworks— JavaScript frameworks have now become one of the most preferred web app development platforms for modern single page apps, social networks, e-commerce products and other software solutions creation. At present, without using frameworks, the development of modern web products has become almost impossible. There are Some companies are still using classical Java Script software incurring higher development costs. As a consequence of classical JS complexity, lot of frameworks have appeared in the market, but the solid leadership in the software development market belongs to these three: Angular, React and Vue.   Angular Angular is a cross-platform framework which keeps to the  MVC architectural pattern and supports a weak link between the display, data and logic of the components( integral parts of the app).  Angular shifts a certain part of server services to the client side and consequently the server workload decreases and the web application becomes lighter. Due to Typescript the project code becomes clear , convenient for developer’s understanding and contains fewer errors. Angular strong points are remarkable documentations and references. One of the week points of Angular is the high learning curve for the projects because a JavaScript developer  should know for instance , Type Script to start working with framework. It consequently makes the project  fulfillment  more difficult, especially the work is passed from one team to another. Another drawback of the Angular framework is the frequent release on the new versions. The 8th one already released in June, 2019.   React.js React—is a java script library with open source code for user-interfaces development. For the first  time React was used in 2011in the face book newsfeed, then in 2012 in Instagram. React is still being developed and supported by  Face book and Instagram. It can be used not only for browser-based web apps but also for mobile apps. The aim of the framework is to provide high speed , simplicity and operability of the apps on various platforms. However, React is not a full-fledged Framework, but  a function library. To use it as a Framework, other third party libraries should be attached. React strengths are speed, lightweightness, cross-platform format  and big community. The weakness is the necessity to use third party libraries for complete work which complicates the development process. Another drawback of the library is that it does not follow the standards in HTML or CSS CODE AS Angular and Vue.js do.;   Vue.js Vue– is a progressive framework for user interfaces creation. Vue was made fit for gradual implementation  unlike Angular or React. It means progressive framework  gradually starting from certain pages, which makes the development much easier. The Vue.js creator is Even and You and the framework is widely used in Chinese companies. Not so long ago the repository management  GitLab also switched to Veu.js. Vue deals with presentations layer tasks in the first turn, it simplifies the integration with other libraries and existing projects. Vue coopted the best features of Angular and React- the speed and lightweightness and the possibility to support such technologies as Type Script and JSX. However along with this the Vue frame remained true to the principles of CSS and HTML code writing. It facilitates quick web application development and makes the processes of project development and support easier. Thus , for any developer who knows the basics of the front-end technologies will not be a problem to develop or support the projects on Vue. At present, a small community can be called a weak point of the Frame work as no big corporations support it.  Nevertheless, popularity of the framework grows every year.   What to choose? Every project is unique in its own way and  before starting the project detailed analysis and evaluation is required. However, there are certain key aspects, which help to choose a particular technology for development: Speed and simplicity of project development and support. The speed of the development depends on the technologies, already used in the projects. In case Type Script or JSC have already been applied then  Angular or React correspondingly needed. But in case the project from scratch, it’s better to choose Vue .js due to its compliance with standards. Trends: All the frameworks are popular and will keep the leadership in the modern development marketin the coming years. It will not be a mistake to choose any of them . However Vue is vigoursly gaining popularity, followed by React.   Mobility and Stability: Supposing  one framework is chosen and then decided to switch to another one and Vue. js is the best choice in this case because re-writing the projects on Angular or React will mean that the developers will most likely need to switch Type Script or JSX code to classical Java Script and HTML correspondingly. One more important aspect to consider is the frequency of Frameworks update. Angular has serious updates issued every 06 months, React approximately once in a year. Vue is more stable in this sese and has serious updates once in several  years. Java-Script-Angular-Node-React-Vue JS-Python-Django Training and placements by DOCC Kolkata. Visit www.docckolkata.com / Call 9433526196              
Here are the top reasons to learn Python, if you are planning to start your career in Python. Python is simple and Easy to learn- It is very easy to code. Compared to other popular languages like Java and C++, it is easier to code in Python. It is programmer-friendly and t is dynamically-typed, it mandates indentation. This aids readability. Python in Artificial Intelligence and Machine Learning- Artificial Intelligence is the huge development in the tech world. It is the intelligence displayed by machines. this is the contrast to the natural intelligence displayed by humans & other animals. Different frameworks, libraries, and tools dedicated to let AI replace human efforts. AI gives us speech recognition systems, autonomous cars, and so on. Big Data- It has helped Big Data grow, its libraries allow us to analyze large amount of data across clusters. Networking- It also let us configure routers & switches, and let us perform other network automation tasks cost effectively. Python in Web Development- It has an array of frameworks for developing websites. Several frameworks for Python. Many of these were meant for web development. These were Django, Pylons, web2py, and Flask.Many websites such as bit bucket, Pinterest Instagram, are build on these frameworks only. Data Science This is the leading language of many data scientist. there are some libraries with Python that are used for data science journey. The important libraries that you mustn’t forgot if you want to go anywhere for Python with data science.   Community- It has a large community which wants to see it grow continuously. A large community also means availability of a large no. of libraries, modules and packages to help you with the project.   Career Opportunities- It opens a lot of doors . Python also finds use in cyber security. This is why Python is worth learning. Startups and Corporates- Python for Both- It is literally everywhere, be it a startup or a unicorn. Its perfect blend of uniqueness and flexibility make it a suitable choice for any project.t gets the best of both worlds. Giants like Disney, Google, and NASA are always on the lookout for talented Python professionals. Python-Mongo DB, Django, Machine learning Training by DOCC Kolkata. Call 9433526196