Day 14 - Task: Exploring Python Data Types and Data Structures for DevOps ๐Ÿ(Dec 10, 2023)

Day 14 - Task: Exploring Python Data Types and Data Structures for DevOps ๐Ÿ(Dec 10, 2023)


2 min read

New day, New Topic.... Let's learn along ๐Ÿ˜‰

Data Types in Python

Data types are the building blocks of any programming language, categorizing data items based on the kind of value they represent and the operations that can be performed on them. In Python, everything is treated as an object, and data types are implemented as classes. Here's a glimpse of the built-in data types:

  • Numeric: Integer, Complex, Float

  • Sequential: String, Lists, Tuples

  • Boolean

  • Set

  • Dictionaries

To check the data type of a variable, you can use the type() function:

your_variable = 100

Data Structures in Python

Data structures organize data for efficient access. They form the foundation of any programming language. Python simplifies learning these fundamentals compared to other languages. Let's explore a few essential data structures:


Python Lists are ordered collections, similar to arrays in other languages. They're flexible, allowing elements of different types.


Tuples are collections of Python objects, like lists, but immutable. Once created, elements cannot be added or removed.


Python dictionaries are like hash tables, offering O(1) time complexity. They store key-value pairs, providing an optimized way to store and retrieve data.


Task 1: Differences between List, Tuple, and Set

  • List: Ordered, Mutable

  • Tuple: Ordered, Immutable

  • Set: Unordered, Mutable (No duplicates)

Hands-on: Provide screenshots demonstrating these differences.

Task 2: Using Dictionary Methods

fav_tools = {1: "Linux", 2: "Git", 3: "Docker", 4: "Kubernetes", 5: "Terraform", 6: "Ansible", 7: "Chef"}
# Use dictionary methods to print your favorite tool using keys

Task 3: List of Cloud Service Providers

cloud_providers = ["AWS", "GCP", "Azure"]
# Add Digital Ocean to the list and sort alphabetically
cloud_providers.append("Digital Ocean")

Further Exploration

If you want to dive deeper into Python, watch Python tutorials and enhance your skills. Share your learning journey on LinkedIn and tag us along! ๐Ÿ˜ƒ

Happy learning, and keep exploring the vast world of Python in DevOps! ๐Ÿš€๐ŸŒ๐Ÿ