SDLC (Software Development Life Cycle): Overview: Software Development Life Cycle (SDLC) is a systematic process for planning, creating, testing, deploying, and maintaining software applications. SDLC aims to produce high-quality software that meets or exceeds customer expectations while staying within budget and time constraints. The life cycle typically consists of several phases, each with specific activities and deliverables. Key Phases of SDLC: Planning: Identify the scope, objectives, and requirements of the software project. Plan resources, timelines, and budget. Create a feasibility study and project plan. Analysis: Gather and analyze user requirements. Define system functionalities and constraints. Create documentation such as requirement specifications. Design: Develop the architecture and design of the software. Specify system components and their relationships. Create detailed technical specifications. Implementation (Coding): Write code based on the design specifications. Conduct unit testing to ensure individual components work as intended. Develop and integrate the software modules. Testing: Conduct various testing phases (unit testing, integration testing, system testing, and user acceptance testing). Identify and fix bugs and defects. Ensure the software meets quality standards. Deployment: Release the software for production use. Deploy the application in the target environment. Provide necessary training and support for end-users. Maintenance: Monitor and maintain the software in the production environment. Address bugs, issues, and updates as needed. Enhance the software based on user feedback or changing requirements. SDLC models, such as Waterfall, Agile, and Iterative, define the specific approach and sequence of phases followed during software development. Each model has its own set of principles and practices. CSV (Comma-Separated Values): Overview: CSV (Comma-Separated Values) is a simple file format used for storing and exchanging tabular data. It is a plain-text format where each line of the file represents a row of data, and columns are separated by commas. CSV is a widely supported format and is used in various applications for importing and exporting data. Key Features of CSV: Data Representation: Each line in a CSV file represents a record, and fields within the record are separated by commas. The first line often contains headers that define the names of the columns. Plain Text Format: CSV files are human-readable plain text files. They can be easily opened and edited with a simple text editor. Data Exchange: CSV is a common format for exporting and importing data between different software applications and databases. It is supported by spreadsheet software like Microsoft Excel and Google Sheets. Simplicity: CSV is a lightweight and straightforward format, making it easy to work with and understand. It lacks advanced features found in more complex formats like Excel files but is suitable for basic data interchange. Compatibility: Virtually all database and spreadsheet applications can export data to CSV. CSV files can be imported into various platforms without compatibility issues.