JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD MCA 2022 SCRIPTING LANGUAGES Previous Question Paper (May - 2022 - R17)

Scripting languages are characterized by several key features that distinguish them from traditional compiled programming languages:

• Interpreted Execution: Code is executed line-by-line by an interpreter rather than being compiled into machine code, which facilitates rapid prototyping and debugging.
• Dynamic Typing: Variable types are determined at runtime rather than compile-time, allowing for greater flexibility and less boilerplate code.
• High-Level Abstraction: They provide built-in support for complex data structures like lists, dictionaries, and associative arrays, hiding low-level memory management details.
• Ease of Use: They feature concise syntax and minimal declarations, significantly reducing the lines of code required to perform common tasks.
• Extensibility and Embedding: Scripting languages are often designed to be embedded within larger host applications or extended via libraries written in lower-level languages like C or C++.
• Platform Independence: Most scripting languages are cross-platform, as the interpreter abstracts the underlying operating system differences.

Traditional scripting focuses on automating repetitive tasks and managing interactions between software components. The primary activities include:

• Task Automation: Automating routine system administration tasks such as file management, backup operations, and user account provisioning using shell scripts or batch files.
• Glue Code Development: Acting as a bridge between disparate software components or applications, allowing them to exchange data and function as a cohesive system.
• Data Processing and Extraction: Parsing text files, logs, or structured data formats (like CSV or XML) to extract information or transform data for reporting and analysis.
• System Configuration: Managing environment variables, setting up application configurations, and orchestrating the startup sequence of complex software environments.
• Rapid Prototyping: Quickly building functional models of software features to test logic or user interfaces before committing to a full-scale implementation in a compiled language.