James Gosling created the computer language Java in the middle of the 1990s, and it has not only survived the test of time but also continues to rule the modern world. Because of its importance, adaptability, and constant change, it is an essential component of contemporary software development.

The Evolution of Java: A Journey Through Versions and Innovation
The evolution of Java is reflected in its versions, which each provide new advancements and capabilities. The Java language has grown significantly between Java 1.0 and the most recent version, Java 18. The way developers design, create, and manage apps has been greatly influenced by this progression.
Java is now known for its stability and flexibility, providing a wide variety of tools, frameworks, and features to meet the various needs of developers. The environment it has created, which has allowed for full-stack development, enterprise solutions, and cutting-edge applications, is just as important as its syntax.

Full-Stack Java Development: Revolutionizing Application Creation
The concept of full-stack development in Java has revolutionized the process of application creation. With frameworks like Spring and Apache Tomcat, developers can build both the frontend and backend of applications seamlessly. Java’s Full Stack Developer course and tools like Intellij IDEA provide a comprehensive environment for these endeavors.

Online Java Compiler: Expanding Accessibility and Collaboration
The availability of online Java compilers has further broadened up the world of programming. It is now possible for the future developers to write, compile, and test code without requiring complex local installs. Developers can now work together, review, and test code in real-time in a collaborative setting.

Innovative Uses of Java in Unexpected Arenas
Java has achieved significant improvements in several domains beyond the scope of typical software development. Java is used in the desktop version of the game Minecraft, which changed the gaming industry and demonstrates the language’s versatility.

Java’s Vital Role in Enterprise Solutions
Java is a key component of enterprise-level solutions because of its flexibility and robustness. In order to ensure dependability, security, and flexibility for extensive business processes, the Spring framework, JDBC, and JPA Java are essential components in the construction of these systems.

Java’s Role in Web Development
Java is simply the best language for developing websites. Web application development has been greatly assisted by technologies such as Java’s JSP and the addition of servlets. Java’s importance in server-side logic development is demonstrated by JAX-RS, which makes it possible to create robust web APIs.

Continuous Innovation and Advancements in Java
Java is still developing in the current market, which moves quickly. Versions like Java 17 and its predecessors show an effort to continuous improvement as well as a smooth acquisition of new technologies. The language’s flexibility to accommodate new characteristics and improvements—such as the introduction of protected classes, external functions, and memory APIs in Java 17—further establishes its applicability in modern development methodologies.

Java’s Ubiquitous Nature and the Future Ahead
Java is used for more than just developing software. Its use in cloud computing, artificial intelligence, mobile technology, and the internet of things (IoT) signifies a bright future. Java is becoming a leader in the latest technologies because to innovations like GraalVM and Quarkus, which are expanding the language’s capabilities.

In conclusion, Java continues to be an essential tool in the field of programming despite its lengthy history and ongoing development. It is a must-have tool for developers, educators, and innovators due to its adaptability, versatility, and broad application across numerous industries. The language has a great future ahead of it, full of new developments and inventions that will continue to influence the digital world in which we live.

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Full stack Java Development 

Blogger,
Pranav Umekar
SEED Infotech Ltd., Pune

Remodeling the Current Technological Environment

At the heart of technological progress, machine learning (ML) and its subset, deep learning (DL), are transforming entire industries and fundamentally changing how humans interact with and analyze data. Because they bring new possibilities in a number of industries, these advanced technologies have become extremely important in the modern economy.

Understanding Machine Learning and its Significance
Fundamentally, machine learning is the method of giving computers the ability to recognize patterns in data and arrive at conclusions without the need for explicit programming. Its importance comes from its capacity to evaluate big datasets, draw insightful conclusions, and forecast future events. Machine learning (ML) is the foundation for a wide range of applications in today’s data-driven environment, from artificial intelligence systems to predictive analytics.

The Deep Impact of Deep Learning
A branch of machine learning called deep learning resembles the neural networks seen in the human brain to help find patterns in huge quantities of data. Its uses include natural language processing, picture and speech recognition, and even sophisticated medical diagnostics. DL models’ ability to generate abstract representations from raw data has transformed a number of industries by improving automation, accuracy, and efficiency.

Cloud-Based ML Services: Azure ML, AWS, and Google Cloud
Leading cloud service providers such as Google Cloud, Amazon Web Services (AWS), and Microsoft Azure deliver advanced Machine Learning solutions. Developers are provided with a strong platform to create, train, and implement machine learning models at large scale via Azure Machine Learning, AWS SageMaker, and Google Cloud ML. These services revolutionize ML implementation by making ML readily available and effective for organizations of all sizes.

Applications and Innovations in ML and AI
Innovative uses of machine learning can be found in fraud protection, maintenance planning, identifying errors, and medical diagnostics. Predictive analysis and recommendations systems play a crucial role in the financial sectors, improving consumer experiences and decision-making. Artificial intelligence (AI) systems that can recognize voices, translate text, and analyze emotions are the result of combining machine learning (ML) with natural language processing (NLP) and neural networks.

Operational Aspects: ML System Design and ML Operations
For ML models and architectures to be designed efficiently, machine learning system design is essential. Machine learning models’ dependability, effectiveness, and performance in real-life situations are being ensured by the growing importance of ML having an observational and operational Excellence. The machine learning pipeline’s management, monitoring, and optimization are the major priorities.

The Future: Quantum Machine Learning, TinyML, and Advancements
The developments in ML and AI that we will see in the future include Quantum Machine Learning and TinyML. While TinyML concentrates on executing ML models on small, limited in resource devices, quantum computing promises to solve complicated issues more quickly. These developments broaden the scope of machine learning and open up possibilities for creativity and innovative uses across a range of industries.

Challenges and Ethical Considerations
The understanding of models, incorrect information, and legal concerns are all challenges in machine learning. The significance of ethical artificial intelligence research and application is highlighted by the necessity of ensuring equality, openness, and accountability in machine learning systems.

Conclusion: The Ever-Evolving Landscape of ML and AI
Machine learning and its specialized form, deep learning, have quickly moved from being industry terms to revolutionizing entire sectors. Machine learning and artificial intelligence (ML and AI) are at the heart of defining the present and the future due to their broad range of applications, technological developments, and constant improvements. In conclusion, it is impossible to understate the importance of machine learning and deep learning in the current industry. These technologies have not only changed industries, but they also have the potential to completely transform our planet and push us toward a time when progress and creativity will always be encouraged.

For more information Visit :

https://www.seedinfotech.com/machine-learning-in-data-science/

Blogger,
Pranav Umekar
SEED Infotech Ltd., Pune

A versatile IT professional capable of efficiently catering to cross-functional requirements and possessing cross-domain knowledge of native technologies is an asset to any organization. Such a person is a full-stack developer who can agilely take care of both front and back-end related requirements.

Unique Appeal of Full Stack Developer
Among the top IT job roles in demand, full stack development occupies a prominent position. This is because of the developer:-

• Can work with different software and tools of varying complexities for meeting unique demands of clients
• Can harness his/her proficiency in JavaScript, CSS, PHP frameworks etc. for providing comprehensive and consummate experience to clients right from conceptualization to execution
• Can gain competence in animation, graphics and designing software for converting sophisticated designs into front-end scripts

Advantages of Full Stack Development
With a professional full stack developer at the helm of affairs, a company stands to gain significantly.

• Better Time and Cost Efficiency
  The same developer can attend to complexities and issues experienced in front and back ends. She need not explain the problems and code intricacies to others as the entire systemic map exists in her mind. Multiple developers are not required to be hired for different positions.
• Optimized Productivity and Efficiency
  Knowledge of design and development empowers the developer to troubleshoot issues earnestly. Enriched with insights of the system, she can eliminate bottlenecks efficiently.
• Design and Subsequent Implementation Under One Owner
  When an in-house solution is being developed, the ownership of conceptualization and execution rests with a single person. This expedites development process and serves as a safeguard for future problems.
• Remaining Contemporary is Easy
  Since the developer is conversant with multiple tools, she can easily embrace an understanding of recent and relevant software upgrades for faster turnaround.
• Root Cause of Problem Gets Addressed
  The developer is not concerned with facile solutions. Instead, she harnesses her in-depth command over the system architecture to pinpoint the root cause of effective problem mitigation.

Key Benefits of Becoming A Full Stack Developer

• The profile of full stack developer features among the best IT jobs. This rise in employability quotient can be attributed to the proliferation of start-up ventures and SMEs. They often have to work with a tight budget and seek developers who can manage entire development process single-handedly.
• Systemic delays in error rectification are optimally curbed. The developer can work closely with the client and would proactively fulfill expectations as a single point connection source. Remunerations too justify the proficiency levels of developers with handsome pay packages and lucrative career advancements galore.

For Java full-Stack Course : https://www.seedinfotech.com/full-stack-development/

For .NET full-Stack Course : https://www.seedinfotech.com/full-stack-net/

The Scrum process is an Agile project management framework that is widely used in software development. It is designed to help teams manage complex projects and deliver high-quality software products quickly and efficiently. The Scrum process is based on the principles of transparency, inspection, and adaptation.

Here are the key components of the Scrum Process

Scrum ProcessAgile project management framework

• Product Backlog: A prioritized list of features or requirements that need to be developed. The Product Owner is responsible for maintaining the backlog and ensuring that it is updated regularly.
• Sprint Planning: At the start of each Sprint (a time-boxed period of typically 2-4 weeks), the Scrum Team meets to plan the work that will be completed during the Sprint. They select items from the Product Backlog and create a Sprint Backlog, which is a list of tasks that need to be completed.
• Daily Scrum: A short daily meeting (usually 15 minutes) where the Scrum Team discusses progress, identifies any obstacles, and plans the work for the next 24 hours.
• Sprint Review: At the end of each Sprint, the Scrum Team presents the work that has been completed to the stakeholders and receives feedback.
• Sprint Retrospective: After the Sprint Review, the Scrum Team meets to reflect on the Sprint and identify ways to improve their processes.

The Scrum process emphasizes collaboration, self-organization, and continuous improvement. It allows teams to work in a highly flexible and adaptable manner, responding quickly to changing requirements and priorities. By focusing on delivering a working product increment at the end of each Sprint, the Scrum process ensures that value is delivered to the customer on a regular basis.

Blogger,
Prasant Pokarnaa
SEED Infotech Ltd., Pune

What are the key principles and values of Agile Methodology?

Agile methodology is based on a set of key principles and values that are designed to support the rapid and flexible development of high-quality software. The Agile Manifesto outlines the following 12 principles:

agile-principles

In addition to these principles, Agile methodology is based on the following values:
1. Individuals and interactions over processes and tools.
2. Working software over comprehensive documentation.
3. Customer collaboration over contract negotiation.
4. Responding to change over following a plan.

These principles and values form the foundation of Agile methodology and guide the practices and decision-making of Agile teams. By embracing these principles and values, teams can create high-quality software in a flexible and adaptive manner, delivering value to their customers and stakeholders.

More details Please check

https://www.seedinfotech.com/technology-training-programs/Seed Infotech | Technology Training Programs

Blogger,
Prasant Pokarnaa
SEED Infotech Ltd., Pune

“Teaching thinking for just five hours to unemployed youngsters increased employment 500 per cent” – Edward de Bono

Correlating education with job prospects is a concern which countries are tackling globally. To top it, when the economic fluctuations cause a slowdown in the job market, the number of educated unemployed rises greatly. Closer home, the situation is quite grim with the unemployment rate expected around 4.80% by the end of this year. The literacy rate in India, too, is highly skewed with different states coming in at different levels. Yet, the overall percentage stands at a worrying 74.04%. Such statistics highlight the need to bring together education with employability. According to a survey, 54% students in India opined that their postsecondary studies improved their employment opportunities. In other words, that means, approximately only 50% believe in our education system as being fruitful. At the same time, 53% Indian employers feel that the huge unemployment rate at the entry-level is due to a severe skills shortage. Such lack of skills then furthers “significant problems in terms of cost, quality, time”, and so on. Correlating these figures, it becomes imperative to understand what causes such a situation as well as how this gap between the education our youth receives and the avenues where it can be implemented, i.e., the job prospects, can be worked upon to benefit both the parties.

Primary Reasons of Unemployment

At all the levels of education, the unemployment rate is higher in the rural areas compared to the urban areas. The primary reason for this being that no longer does a farmer’s son wishes to stay back in his village and continue working in the fields when a city life seems brighter. However, not all are able to secure a job immediately upon arrival and some even end up taking menial work to earn money. Instead, a vocational course or an educational qualification in say agriculture may do him good. He can put into practice what he studies and thus creates employability for himself. Also, creating job opportunities in the rural sector is of utmost need. Developing a strong cottage industry will bring the youth into mainstream workforce thus blending their knowledge with creating the livelihood.

Industrial Training

That brings us to the next inter-related aspect of industrial training. There are very few institutions in India which offer hands-on technical training to the youth. Most colleges offer only a prescribed curriculum which is basically textbook learning. The result being once the students graduate, they are in no position to directly apply their course material with the industry demands. In the current competitive market, companies cannot spend time and money training the new recruits on basic technicalities. If only the education system itself prepares the students to tackle work situations, they will be in better demand for job positions. It also implies giving the teachers access to industrial training as well. For this, industry experts need to come together along with the education policymakers to create a system which will have a balance of the written material and its application. Once students know the practical value of their education, they will be in a better position to take efforts in the right direction. This will help in creating the right kind of employability which our country currently requires.

Enabling Technology for Education

Another point worth taking into consideration is how to boost use of technology in everyday education framework. As the world is progressing and the way job markets are evolving, the need of the hour is to have thorough expertise in technological advancements. India is a global hub for cheaper available talent. If we can reduce the costs of integrating technology and multimedia into mainstream curriculum, bring in ICT to expose students to real-time applications, it will go a long way in providing holistic education, thus securing their employment ability. SEED Infotech has been playing a crucial role in helping young minds get employed. Our Job-oriented Programs should be a place to start for the job seeking youth out there.

Employee

As India’s former President and noted scientist Dr. A.P.J. Abdul Kalam had once stated, when asked about how our education system can contribute to the Indian employment sector, “The education system must stress the importance of entrepreneurship; banking system should provide venture capital; and lastly, entrepreneurs should produce competitive products”. It is interesting to imagine how a blend of this three-fold suggestion will actually work in favor of the future citizens of this country.

C is a procedural programming language. It was developed by Dennis Ritchie as a system programming language to write operating system. C is a powerful general-purpose programming language. It can be used to develop software like operating systems, databases, compilers, and so on. C programming is an excellent language to learn to program for beginners.
C programming is considered as the base for other programming languages, that is why it is known as mother language. A procedure is known as a function, method, routine, subroutine, etc. A procedural language specifies a series of steps for the program to solve the problem. A procedural language breaks the program into functions, data structures, etc. C is a procedural language. In C, variables and function prototypes must be declared before being used.
The C language is much faster as compared to a majority of the programming languages, such as Python, Java, and many more. A C program can be moved from any given platform to another one, and we can also run it on that platform without any of the charges. A computer program is just a collection of the instructions necessary to solve a specific problem. The basic operations of a computer system form what is known as the computer’s instruction set. And the approach or method that is used to solve the problem is known as an algorithm.
C programming language is a compiled language. The process of converting source code to machine code is called compilation. The compiler in simple words is a program that converts high-level language to machine code. There are three levels of programming languages- Low-level, Mid-level and High-level. Low-level languages process programs faster, while High-Level languages are more user and developer-friendly. The C is a mid-level language that combines the best of both. It is simple to understand, easy to use, and processes programs faster.
C is a MUST for students and working professionals to become a great Software Engineer specially when they want to work in Software Development industries. C helps you to understand the internal architecture of a computer, how computer stores and retrieves information. After learning C, it will be much easier to learn other programming languages like Java, Python, etc.

For C Programming Course: https://www.seedinfotech.com/short-term-basic-courses/#cprogramming

Blogger,
Vasudha Lonkar
SEED Infotech Ltd., Pune

What is Agile?

Agile is a simple word.

This word is used by the Information Technology (IT) industry. It is one of the alternative method of doing project management. This is also one of the many models available under the Software Development Lifecycle i.e. SDLC. It helps IT team offer value to client through small pieces of work/iterations, lowering the Risk, as well delivering value early.

Agile means something which can run or move quickly.
In an agile approach, work/tasks/activities are divided into smaller manageable pieces or iterations can be called as short term goals also. But it is important to determine the project’s goals and needs before the development process begins.

Benefits of the Agile model

1. Improved Product Quality
In an Agile approach, the testing requirement is throughout every stage of software development. This ensures that the product designed at the end is of high quality and aligned according to the customers demands.

2. Flexibility
One of the most appreciated features of agile is its flexibility for a project and development team. Because the methodology allows for change, there is always room for mistakes and opportunities to iterate.

3.Faster Product Delivery
A significant part of the Agile approach is via Sprints.
Sprints are a set period that allows a product to be developed frequently and rapidly.

In today’s market, speed is the key.Following the agile methodology helps deliver products to the business/user/customer/client faster. This allows for speedy testing and fixing of software solutions and reduces time to market.

4. Improved Team collaboration and motivation
The team size is generally limited in an Agile environment and meets frequently. These meetings discuss the progress and update the other members about the project’s current status. This also provides a workplace where teams can be closely embed and have flexible team structures.

5. Risks Minimized
An agile development team divides a bigger project into small tasks/pieces. Working on these small tasks helps the team identify any problems within the project early. Thereby reducing the risks and making it easier to perform any changes if needed.

Blogger,
Prasant Pokarnaa
SEED Infotech Ltd., Pune

SQL (Structure Query Language) is a computer language that we use to interact with a relational database. A Relational Database is a type of database that stores and provides access to data points that are related to one another. A relational database can be considered for any information need in which data points related to each other and must be managed in a secure, ruled-based, consistent way. In short, SQL is used where database is used.

Database is a computer program that stores a large amount of data. Databases are everywhere in technology. The SQL definition is a language to define database objects and manipulate the data. Using SQL, you can create and manage database. Some of the examples of databases are MySQL, Oracle, PostgreSQL, Microsoft SQL Server, MongoDB etc.

Many IT professionals like data analysts, database administrators, SQL developers and data scientists often require using this coding language. Having knowledge and expertise in SQL is important for these roles. You use SQL to communicate with a database. Using different commands, SQL tells the database what to do.

In standard English, a Query means a request for information. In computer language, it refers to same thing, expect the information is retrieved from database. SQL allows to handle the information using tables and shows a language to query these tables and other objects related (views, functions, procedures, etc.). You can use the SQL query to update, search, retrieve, add and delete data.

Knowledge of SQL can bolster your CV and help you get a job in the IT industry. As most IT jobs require knowledge of SQL, employers prefer candidates with excellent knowledge of databases. Furthermore, if you are well-versed in SQL and some other programming language like Python, Java or C, you can have more opportunities in IT industries.

For SQL Course: https://www.seedinfotech.com/short-term-basic-courses/#sql

Blogger,
Vasudha Lonkar
SEED Infotech Ltd., Pune