Well, my friend, there are a few reasons for that:

First, it’s easy to read and write. Unlike some other programming languages out there (I won’t name any names), Python is written with whitespace instead of semicolons or curly braces. This makes the code look cleaner and more organized. Plus, you don’t have to worry about forgetting a semicolon at the end of a line it just doesn’t exist in Python!

Secondly, Python is versatile. It can be used for web development, data analysis, scientific computing…the list goes on. And with its vast library of modules and packages, you can easily extend its functionality to suit your needs.

So Let’s jump right into some high-level data types in Python. These are the basic building blocks that we use to store information in our programs:

1. Integers (int) whole numbers like 5 or 234567890
Example: x = 10

2. Floats (float) decimal numbers with a fractional part, such as 3.14 or 0.0000000000000000000005
Example: y = 3.14

3. Strings (str) sequences of characters enclosed in single quotes (‘hello’) or double quotes (“world”)
Example: name = “John Doe”

4. Booleans (bool) either True or False, used for logical operations and decision-making
Example: is_cool = True

5. Lists (list) ordered collection of items separated by commas inside square brackets [1, 2, “three”]
Example: numbers = [10, 20, 30]

6. Tuples (tuple) similar to lists but immutable (cannot be changed once created), enclosed in parentheses () or with no brackets at all if there’s only one item
Example: coordinates = (5, 12)

7. Dictionaries (dict) unordered collection of key-value pairs inside curly braces {key: value}
Example: phonebook = {“John Doe”: “555-1234”, “Jane Smith”: “555-5678”}

These are just a few examples, but there’s much more to explore in Python.