Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

An AI-powered penetration testing tool is automating offensive cybersecurity, accelerating vulnerability discovery and ...

Discover the leading mobile application testing tools for DevOps teams in 2025, aimed at enhancing performance, stability, and agile release cycles for businesses worldwide.

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, ...

Offering downloadable sample code, the book is written to help you discover how to use Python in a wide variety of ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

In the rapidly changing world of software development, selecting the perfect testing tool is as vital as crafting well. With so many choices lying at hand, one tool that is capable of withstanding ...

In today’s digital economy, engineering leaders face a paradox. Businesses are demanding faster releases, but at the same time, customers and regulators are insisting on higher reliability than ever ...

Abstract: Python's dynamic typing system offers flexibility and expressiveness but can lead to type-related errors, prompting the need for automated type inference to enhance type hinting. While ...

Agentic systems are stochastic, context-dependent, and policy-bounded. Conventional QA—unit tests, static prompts, or scalar “LLM-as-a-judge” scores—fails to expose multi-turn vulnerabilities and ...