What is Agility? List down 12 principals of Agile Manifesto.

Understanding Agility in Software Engineering: The 12 Principles

What is Agility?

Iterative development approach.
Focuses on collaboration and customer feedback.
Adaptable to changing requirements.
Delivers value quickly and incrementally.
Promotes self-organizing teams.
Emphasizes continuous improvement.

The 12 Principles of the Agile Manifesto

Customer satisfaction by early and continuous software delivery.
Welcome changing requirements, even late in development.
Deliver working software frequently.
Business people and developers must work together daily.
Build projects around motivated individuals.
The most efficient and effective method of conveying information is face-to-face conversation.
Working software is the primary measure of progress.
Agile processes promote sustainable development.
Continuous attention to technical excellence and good design.
Simplicity--the art of maximizing the amount of work not done--is essential.
Best architectures, requirements, and designs emerge from self-organizing teams.
Regularly, the team reflects on how to become more effective, then tunes and adjusts its behavior accordingly.

What is architectural design? Discuss different style and patterns of architecture.

Mastering Software Architecture: Styles and Patterns What is Architectural Design? Blueprint for software systems. Defines structure, behavior, and interactions. Guides development, ensuring scalability and maintainability. Addresses high-level concerns, not implementation details. Impacts performance, security, and cost. Architectural Styles Layered Architecture: Organizes system into horizontal layers (presentation, business logic, data access). Microservices Architecture : Breaks down application into small, independent services. Event-Driven Architecture: Components communicate asynchronously via events. Space-Based Architecture: Distributes data and processing across geographical locations. Client-Server Architecture :** Classic model with clients requesting services from servers. Architectural Patterns Model-View-Controller (MVC): Separates concerns into model (data), view (presentation), and controller (logic). Model-View-ViewModel (MVVM): Variation o...

State the need for software configuration review.

The Indispensable Software Configuration Review: Why It Matters Early Problem Detection Prevents costly late-stage bug fixes. Identifies inconsistencies early in the development lifecycle. Reduces integration challenges. Enhanced Collaboration Improves communication between development teams. Facilitates knowledge sharing among team members. Ensures everyone is on the same page regarding the software configuration. Improved Quality Assurance Helps meet compliance requirements. Reduces the risk of security vulnerabilities. Ensures software stability and reliability. Better Traceability and Auditability Simplifies future maintenance and updates. Provides clear documentation for compliance audits. Allows for easier rollback in case of errors. Reduced Risks Minimizes potential for configuration drift. Prevents deployment failures and downtime. Improves overall project success rate.

What are key featuers of python?.

Python for Data Compression: Key Features Readability and Simplicity Clear syntax, making code easy to write and understand. Reduced development time compared to other languages. Extensive Libraries `zlib`, `gzip`, `bz2`, for common compression algorithms. `lzma` for advanced LZMA compression. `zipfile` for managing compressed archives. Cross-Platform Compatibility Runs smoothly on various operating systems (Windows, macOS, Linux). Facilitates easy deployment of data compression solutions. Community Support and Resources Abundant online tutorials, documentation, and community forums. Easier troubleshooting and faster problem-solving. Integration with other tools Seamlessly integrates with other data science tools (NumPy, Pandas). Simplifies data preprocessing and post-processing steps.

List the main pillars of Tagore’s concept of education.

Tagore's Vision: Pillars of Education & IT Ethics Holistic Development Character building. Moral and spiritual growth. Creative self-expression. Physical and mental well-being. Creative Learning Emphasis on self-discovery. Experiential learning. Fostering imagination and innovation. Rejection of rote learning. Freedom and Self-Expression Individuality and uniqueness valued. Openness to diverse perspectives. Critical thinking and questioning. Encouraging independent learning. Social Responsibility Understanding societal needs. Contribution to community welfare. Ethical considerations in all actions. Promoting social justice. Connection with Nature Appreciation of natural world. Environmental consciousness. Sustainable living practices. Holistic understanding of existence. Relevance to IT Professional Ethics Ethical use of technology. Responsible data handling. Intellectual property rights awareness. Social impact of technology consideratio...

Define Engineering Ethics. Distinguish between ethics, laws and morals.

Navigating the Ethical Minefield: Engineering Ethics in IT Defining Engineering Ethics The study of moral issues and decisions confronting individuals and organizations engaged in engineering. Application of ethical principles to engineering practice, design, and research. Focus on responsible innovation, safety, and societal well-being in engineering projects. Consideration of potential impacts on stakeholders – users, environment, society. Ethics vs. Laws vs. Morals Ethics: Formal system of principles governing conduct; professional codes and guidelines. Laws: Societal rules enforced by governmental authority; legally binding requirements. Morals: Individual beliefs and values about right and wrong; personal sense of what is good/bad. Distinguishing the Three in IT Ethics: IT professional codes (ACM, IEEE) specify confidentiality, data security, intellectual property respect. Laws: Copyright laws, data privacy regulations (GDPR, CCPA), cybercrime statut...

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