Python Tutorial 2025 - Tpoint Tech

Python Tutorial

What is Python?

Python is a versatile, high-level programming language that's easy to learn and use. It was created by Guido van Rossum and first released in 1991. Python emphasizes readability and simplicity, making it a great choice for beginners and professionals alike.

Key Features: 1. Easy to Read and Write: Python uses simple syntax that makes code easy to understand.

2. High-Level Language: Python abstracts away complex details, allowing you to focus on problem-solving.

3. Interpreted: Python code is executed line-by-line by the interpreter, making debugging easier.

4. Cross-Platform: It works on different operating systems like Windows, macOS, and Linux.

5. Large Standard Library: Python comes with a comprehensive library for handling various tasks, like file I/O, math, data manipulation, and more.

6. Supports Multiple Paradigms: Python supports Object-Oriented, Procedural, and Functional programming styles.

Basic Syntax: 1. Hello World: A typical starting point in any programming language is printing "Hello, World!" to the console.

2. Variables: In Python, you don't need to declare variable types explicitly. Python automatically determines the type based on the assigned value.

3. Comments: You can add comments in your code using the # symbol for single-line comments, or triple quotes for multi-line comments.

4. Data Types: Python has several built-in data types: • Numbers: int, float • Strings: Sequences of characters, enclosed in either single or double quotes.

• Booleans: True or False • Lists: Ordered collection of items.

• Tuples: Immutable ordered collection of items.

• Dictionaries: Key-value pairs.

• Sets: Unordered collection of unique items.

5. Control Flow: You can control the flow of your program with conditional statements (if, elif, else) and loops (for, while).

If Statement:

For Loop:

While Loop:

6. Functions: You can define functions in Python using the def keyword.

Python Libraries: Python has many powerful libraries, like numpy for numerical computations, pandas for data manipulation, matplotlib for plotting, and requests for web requests.

You can install external libraries using pip:

Example: Using math library

Object-Oriented Programming (OOP): Python supports OOP. You can define classes and create objects.

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