Python Programming Language

Python basics to advance
Exercise1= Variables, Builtin Functions.
Exercise2= Operators
Exercise3= Strings, Lists, Tuples
Exercise4= Sets, Dictionary
Exercise5= Conditionals, Loops
Exercise6= Functions,
Exercise7=

Python is a high-level, interpreted programming language known for its simplicity and readability.
It is widely used in web development, data science, artificial intelligence, automation, and scientific computing.

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Installation

1️⃣ Download Python

Download from the official website:

https://www.python.org/downloads/

During installation (Windows), make sure to check:

☑ Add Python to PATH

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2️⃣ Verify Installation

Open terminal or command prompt:

python --version

or

python3 --version

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Using Python with Virtual Environment (Recommended)

Create a virtual environment:

python -m venv myenv

Activate:

Windows

myenv\Scripts\activate

Mac/Linux

source myenv/bin/activate

Deactivate:

deactivate

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Using Python with Jupyter Notebook

Install Jupyter:

pip install notebook

Start Jupyter:

jupyter notebook

Create a new Python notebook and start coding.

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Basic Python Syntax

1️⃣ Print Statement

print("Hello, World!")

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2️⃣ Variables

name = "Raj"
age = 21
height = 5.8

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3️⃣ Data Types

# Integer
x = 10

# Float
y = 3.14

# String
text = "Python"

# Boolean
flag = True

# List
numbers = [1, 2, 3]

# Dictionary
person = {"name": "Raj", "age": 21}

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4️⃣ Conditional Statements

age = 18

if age >= 18:
    print("Adult")
else:
    print("Minor")

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5️⃣ Loops

For Loop

for i in range(5):
    print(i)

While Loop

count = 0
while count < 5:
    print(count)
    count += 1

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6️⃣ Functions

def greet(name):
    return f"Hello, {name}!"

print(greet("Raj"))

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7️⃣ Classes (OOP Basics)

class Student:
    def __init__(self, name, age):
        self.name = name
        self.age = age

    def introduce(self):
        return f"My name is {self.name} and I am {self.age} years old."

s1 = Student("Raj", 21)
print(s1.introduce())

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Installing Packages

Install packages using pip:

pip install numpy

List installed packages:

pip list

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Running a Python Script

Save file as main.py and run:

python main.py

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Useful Libraries

• NumPy (Scientific computing)
• Pandas (Data analysis)
• Matplotlib (Visualization)
• Flask / Django (Web development)
• Scikit-learn (Machine learning)
• Scipy
• Qiskit (Quantum SDK)

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Why Learn Python?

• Beginner-friendly
• Large community support
• Massive ecosystem of libraries
• Used in AI, ML, Quantum Computing, Web, Automation

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Happy Coding @RajMajhi