Blog 2: Diving Deep into Python Fundamentals

Introduction

Welcome back to the “10 Blogs. One Language” series!
In this second post, we’ll dive into the core fundamentals of Python — the building blocks every coder must master. Whether you’re new to programming or brushing up on your basics, this blog will guide you through:

• Character Sets

• Tokens

• Literals

• Data Types

• Operators (in detail!)

• Statements & Expressions

• Input & Output

Let’s begin your journey into the real structure of Python programs.

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1. Character Sets: ASCII, Unicode, and UTF-8

Python understands and uses a variety of characters:

• Letters: A-Z, a-z

• Digits: 0–9

• Special symbols: +, -, *, /, (), {}, [], =, !=, etc.

• Whitespace: spaces, tabs, newlines

ASCII covers basic English (0–127).
Unicode includes characters from all languages and even emojis.
UTF-8 is the encoding format used to store Unicode data — it’s flexible and widely supported.

Note: If your Python program displays weird characters or throws text-related errors, it’s likely an encoding issue — just make sure your files use UTF-8.

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2. Tokens in Python

Tokens are the smallest elements of a Python program. They include:

• Keywords: Predefined, reserved words (e.g., if, else, def, class, return)

• Identifiers: Names for variables, functions, classes (e.g., my_var, Person)

• Literals: Constants like numbers, strings, True, None, etc.

• Operators: Symbols like +, *, ==, etc.

• Punctuators: Brackets, colons, commas — e.g., (), {}, :, ,

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3. Literals in Python

Literals are fixed values assigned to variables. Python supports:

🔹 Numeric Literals

x = 10        # Integer
y = 3.14      # Float
z = 2 + 3j    # Complex

🔹 String Literals

s = "Hello"  # Single-line
msg = '''Hello
World'''     # Multi-line

🔹 Boolean & Special Literals

flag = True
empty = None

🔹 Collection Literals

list_ex = [1, 2, 3]
tuple_ex = (1, 2, 3)
dict_ex = {'a': 1, 'b': 2}
set_ex = {1, 2, 3}

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4. Data Types in Python

Python has dynamic typing, meaning you don’t declare variable types — Python detects them.

You can also define your own types:

class Person:
    pass

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5. Operators in Python

Python offers various types of operators for arithmetic, logic, comparison, and more.

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🔹 Arithmetic Operators

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🔹 Assignment Operators

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🔹 Comparison Operators

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🔹 Logical Operators

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🔹 Bitwise Operators

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🔹 Membership Operators

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🔹 Identity Operators

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🧠 Example with Precedence:

result = 3 + 4 * 2 ** 2 // 2
# Evaluates as: 3 + ((4 * (2 ** 2)) // 2)
# = 3 + ((4 * 4) // 2) = 3 + (16 // 2) = 3 + 8 = 11
print(result)  # Output: 11

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6. 🧾 Statements in Python

🔹 Simple Statement

A single line instruction:

x = 10
print(x)

🔹 Compound Statement

Includes a header and an indented block:

if x > 0:
    print("Positive")
else:
    print("Not positive")

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7. 🔣 Expressions in Python

An expression is a combination of values, variables, and operators that evaluates to a result.

a = 5
b = 10
c = a + b * 2  # Expression evaluates to 25

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8. ⌨️ Input and Output in Python

🔹 Taking Input

name = input("Enter your name: ")

🔹 Displaying Output

print("Hello,", name)

My Experience

When I first began learning Python, character encodings confused me the most.
Remember this:

• ASCII = Basic English characters (0–127)

• Unicode = All characters in all languages

• UTF-8 = A smart way of storing Unicode efficiently

So if you ever get garbled output or weird errors — check if your file encoding is UTF-8.

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What’s Next?

In the next blog, we’ll explore control structures — how to make decisions and perform loops.

Here’s a small teaser:

for i in range(5):
    if i % 2 == 0:
        print(i, "is even")
    else:
        print(i, "is odd")

Stay tuned, and let’s keep compiling your Python skills!