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The Python Tutorial is a complete resource for learning Python programming from scratch to advanced concepts. It covers essential topics such as data types, control structures, functions, and object-oriented programming. With clear examples and practical exercises, this tutorial helps beginners master the language and supports advanced learners with deeper insights into libraries, web development, and data analysis. Perfect for anyone eager to improve their Python skills.
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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: Easy to Read and Write: Python uses simple syntax that makes code easy to understand. High-Level Language: Python abstracts away complex details, allowing you to focus on problem-solving. Interpreted: Python code is executed line-by-line by the interpreter, making debugging easier. Cross-Platform: It works on different operating systems like Windows, macOS, and Linux. Large Standard Library: Python comes with a comprehensive library for handling various tasks, like file I/O, math, data manipulation, and more. 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:
Object-Oriented Programming (OOP): Python supports OOP. You can define classes and create objects.
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