This repository contains examples, exercises, and concepts from Python: The Professional Guide For Beginners (2024 Edition) by Federico Azzurro. This course provides a comprehensive introduction to Python programming, covering everything from the basics to advanced topics such as asynchronous programming, object-oriented principles, and file handling.
This section provides an overview of the course, its objectives, and the skills you’ll gain to master Python programming.
Learn Python's core syntax, data types, variables, and essential operations, building a solid foundation for coding in Python.
Master control flow constructs such as if, elif, else, and loops (for and while) to write logical and efficient programs.
Discover how to write reusable and modular code with functions, covering parameters, return statements, default arguments, and scope.
Learn to manage errors gracefully using try, except, finally, and raise, ensuring robust application behavior.
Organize and extend your code with modules. This section covers using built-in libraries, importing modules, and creating packages.
Explore more complex Python operations and practical applications to deepen your understanding of the language.
Go beyond the basics with lists by exploring slicing, list comprehensions, and advanced methods for efficient data manipulation.
Gain a thorough understanding of OOP concepts, including classes, objects, inheritance, polymorphism, encapsulation, and abstract classes.
Leverage Python’s powerful built-in functions such as map, filter, reduce, and zip, to simplify and optimize your code.
Learn how dataclasses can help you define and manage structured data effortlessly with less boilerplate code.
Dive into asynchronous programming with asyncio, enabling you to build high-performance, non-blocking applications.
Explore advanced features like decorators, generators, and context managers to write elegant and efficient Python code.
Master file operations such as reading, writing, and managing different file formats, essential for real-world applications.
A summary of key takeaways from the course and guidance for continuing your Python journey.
This project is licensed under the MIT License. See the LICENSE file for details.
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