👉 Computing packages refer to a collection of tools, libraries, and frameworks designed to facilitate various aspects of computing, from data processing and machine learning to web development and system administration. These packages are typically organized into repositories such as Python's `pip` or JavaScript's npm, enabling developers to easily install, manage, and utilize specific functionalities without needing to understand the underlying complexities. They provide pre-built functions and abstractions, allowing for efficient development and deployment of applications while abstracting away low-level details. Popular computing packages include NumPy for numerical computations, Pandas for data manipulation, TensorFlow and PyTorch for machine learning, Docker for containerization, Kubernetes for orchestration, and many others, each catering to diverse computing needs across different domains.