Day 95: Data Types in Python

Today, I explored Python’s core data structures — lists, tuples, and dictionaries — which are essential when managing infrastructure data, configurations, and automation logic in DevOps scripts.

---

📋 Lists

Lists are ordered and mutable collections — perfect for storing groups of items like server names or container IDs.

servers = ["web01", "web02", "db01"]
servers.append("cache01")
print(servers)

✅ Use case: Iterating over multiple resources to deploy or configure them.

---

📦 Tuples

Tuples are ordered but immutable collections — ideal when you want fixed sets of data that shouldn’t change.

region = ("us-east-1", "t2.micro")
print(region[0])

✅ Use case: Storing static configurations like region + instance type pairs.

---

📂 Dictionaries

Dictionaries store key-value pairs — useful for mapping resource names to their attributes.

config = {
    "web01": "10.0.0.1",
    "db01": "10.0.0.2"
}
print(config["web01"])

✅ Use case: Handling inventory data, credentials, or service metadata in scripts.

---

💡 Key Takeaways

✅ Lists → Flexible and editable collections
✅ Tuples → Safe, read-only collections
✅ Dictionaries → Key-value mappings for structured data

---

💻 These data types form the foundation of every Python automation script. Mastering them makes managing infrastructure data clean, efficient, and scalable.