- The Routing Intent by Leonardo Furtado
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- Chapter 13: Choosing the Right Python Collection for Network Automation
Chapter 13: Choosing the Right Python Collection for Network Automation
Confused between lists, sets, tuples, and dictionaries? This article breaks down when to use each, specifically for network automation.

Comparing Python Collections in Network Automation
Introduction
In network automation projects, data must be structured, manipulated, and accessed efficiently. That’s where Python’s built-in collection types, lists, tuples, sets, and dictionaries, come in. Understanding when and how to use each one is essential for building reliable and readable scripts, especially when you're dealing with large amounts of device metadata, interface states, BGP neighbors, configuration diffs, or telemetry datasets.
In this guide, we’ll compare these Python collections, not only through theoretical characteristics but also by showing how each one applies to network automation scenarios.
Let’s explore them by analyzing their properties, mutability, ordering, indexing, use of duplicates, and data access patterns, all with examples relevant to automation engineers.
The Comparison Table
Collection | Ordered | Mutable | Duplicates | Key Feature | Network Use Case |
---|---|---|---|---|---|
List | ✅ | ✅ | ✅ | Sequences with duplicates | Interface logs, neighbor lists |
Tuple | ✅ | ❌ | ✅ | Immutable sequence | Device coordinates, versioning |
Set | ❌ | ✅ | ❌ | Fast membership, no duplicates | IP filtering, inventory dedup |
Frozenset | ❌ | ❌ | ❌ | Immutable set, hashable | Fixed policies, hash keys |
Dict | ❌ | ✅ | ❌ (on keys) | Key-value storage | Device maps, config templates |

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