Day 14 - Python Data Types & Structures Exploration 🐍🔍

Greetings DevOps enthusiasts! Today on our journey, let's dive into the Python world of Data Types and Structures. 🌐💡

Data Types in Python: 📊🔢

In Python, data types classify items and determine the operations we can perform on them. Whether it's Numeric, Sequential, Boolean, or others, Python's got it all! 🔢📊

In Python, data types classify the type of values that variables can hold. Let's explore a few:

1. Numeric Types:

   • Integer (int): Whole numbers without decimals. Example: age = 25

   • Float (float): Numbers with decimals. Example: price = 19.99

   • Complex (complex): Numbers in the form a + bj, where a and b are floats. Example: z = 3 + 5j

2. Sequential Types:

   • String (str): Ordered sequences of characters. Example: name = "John"

   • List (list): Ordered, mutable collections. Example: fruits = ["apple", "banana", "orange"]

   • Tuple (tuple): Ordered, immutable collections. Example: coordinates = (10, 20)

3. Boolean Type:

   • Boolean (bool): Represents True or False. Example: is_devops = True

4. Set Type:

   • Set (set): Unordered collections of unique elements. Example: unique_numbers = {1, 2, 3, 4}

5. Dictionary Type:

   • Dictionary (dict): Unordered key-value pairs. Example: student = {"name": "Alice", "age": 21}

Data Structures in Python: 🦸‍♂️🦸‍♀️

Think of these as the organizational superheroes of data. Lists, Tuples, and Dictionaries play key roles. Lists are flexible arrays, Tuples are immutable collections, and Dictionaries are optimized key-value pairs. 🦸‍♂️🦸‍♀️

Data structures organize and store data efficiently. Let's look at a few:

1. List: 📜

   • Ordered, mutable collection.

   • Example: languages = ["Python", "JavaScript", "Java"]

2. Tuple: 📦

   • Ordered, immutable collection.

   • Example: dimensions = (10, 20, 15)

3. Dictionary: 📚

   • Unordered key-value pairs.

   • Example: book = {"title": "Python Crash Course", "author": "Eric Matthes"}