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
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.