Quick reference guides for developers. Interactive, searchable, and always up-to-date.
Master the Linux terminal with 200+ commands covering navigation, file management, text processing, networking, and system administration.
Guide to ML algorithms, model evaluation, data preprocessing, and best practices. Includes code examples in Python.
Distributed computing framework for machine learning, scaling Python applications, and building AI systems at any scale.
Git commands, branching strategies, conflict resolution, and GitHub/GitLab workflows for effective version control.
Python syntax, data structures, functions, OOP concepts, standard library, and popular frameworks reference.
kubectl commands, pod management, deployments, services, and K8s architecture concepts for container orchestration.