What problem does it solve?
Go developers often battle inefficient data structure choices that hurt memory use and performance. This guide explains internal mechanics of slices, maps, arrays, and containers to help you pick the right structure for your workloads.
Core Features & Use Cases
- Slice internals: capacity growth, preallocation, and aliasing pitfalls.
- Map internals: when to preallocate, value vs pointer maps, and iteration considerations.
- Containers and primitives: arrays, container/list, heap, ring, bufio, and strings.Builder vs bytes.Buffer.
- Generics and constraints: when to apply generics to data structures and where not to overuse them.
- Copy semantics and performance patterns: how data is copied and moved in Go.
- Cross-references: how this skill connects to safety and performance skills in the ecosystem.
Quick Start
Start by skimming the slices and maps sections and apply the recommended preallocation, aliasing avoidance, and container guidance to a hot path in your codebase.