If you're new to Python — or brushing up to go deeper — it can be hard to decide what to learn first and how to build a solid foundation. To help, we've put together a curated list of posts arranged in a natural learning sequence: start with the basics, master core data structures, explore object-oriented programming, and finish by learning testing and best practices.
Each post is written to be beginner-friendly while offering depth and practical examples, so you can apply what you learn immediately.
Start Here: Build Your Python Foundation
Begin your journey with the essentials: understanding Python’s building blocks and how to structure your code effectively.
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Learning Python: A Roadmap from Beginner to Advanced A big-picture guide on where to start, what to learn next, and how to keep progressing.
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Understanding Python Modules: A Comprehensive Guide Learn how to organize your code into reusable, maintainable modules.
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Python File Handling for Beginners: A Step-by-Step Guide Work with files in Python — reading, writing, and managing file data.
Master Core Python Data Structures
Strong knowledge of Python’s built-in data structures helps you write efficient, clean, and Pythonic code.
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Understanding Tuples in Python: A Beginner’s Guide Discover immutable sequences and when to use them.
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Understanding Python Sets for Beginners Learn about sets for unique data and fast membership checks.
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Understanding Python Dictionaries in Django Understand dictionaries — key-value storage — and see practical examples in Django projects.
Dive into Object-Oriented Programming
Next, explore how Python’s object-oriented features help you write more organized and reusable code.
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Mastering Python Classes and Objects: A Beginner's Guide Learn how to create and use your own classes and objects.
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Exploring Python Inheritance: A Deep Dive Understand inheritance to reuse and extend functionality in your classes.
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Understanding Abstraction and Overriding in Python and Django Learn how abstraction simplifies complex systems and how method overriding works.
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Understanding Attributes, Methods, and Properties in Python Grasp the difference between attributes and methods, and learn about Python’s
@propertydecorator.
Learn Testing & Best Practices
Finally, explore professional practices like unit testing and test-driven development (TDD) to write reliable and maintainable code.
- Writing Unit Tests and TDD in Python: A Practical Guide Understand why tests matter, how to write them, and how TDD can improve your design.
Starting with basics builds confidence, mastering data structures improves problem-solving, object-oriented programming teaches you to design systems cleanly, and testing ensures your code stays reliable as it grows.
By following this path — and diving into each guide — you'll not only write better Python, but also think more like an experienced developer.