Being "advanced" at Python encompasses a broader set of skills, such as proficiency in handling advanced data structures, working with libraries and frameworks, understanding Python's standard library, and writing efficient and optimized code. It's a continuous learning process, and there's always more to explore and improve in any programming language. So while you've made significant progress, there's still more to learn to consider yourself truly advanced at Python. Keep exploring and practicing to further enhance your skills!

Tracking Progress

Knowing when you've reached an advanced level of coding in Python can be subjective, but here are some signs that indicate you're progressing:

  1. Mastery of Fundamentals: You have a solid understanding of the core concepts of Python, including variables, data types, conditionals, loops, functions, and classes. You can confidently write clean and efficient code using these fundamentals.
  2. Proficient Problem Solving: You can approach complex problems and break them down into smaller, manageable tasks. You have developed problem-solving strategies and can apply appropriate algorithms and data structures to solve problems efficiently.
  3. Strong Knowledge of Python Libraries: You are familiar with popular Python libraries and frameworks such as NumPy, Pandas, Matplotlib, and Django. You know when and how to leverage these libraries to accomplish specific tasks, such as data analysis, visualization, or web development.
  4. Understanding of Object-Oriented Programming (OOP): You have a good grasp of OOP principles and can design and implement classes and objects effectively. You understand concepts such as inheritance, polymorphism, and encapsulation, and can apply them to write modular and reusable code.
  5. Experience with Advanced Topics: You have explored more advanced topics in Python, such as generators, decorators, context managers, and metaclasses. You can utilize these features to write more concise, elegant, and powerful code.
  6. Knowledge of Pythonic Idioms: You have developed a deep understanding of Python's idiomatic style and can write code that adheres to Python's best practices and conventions. You are familiar with PEP 8 guidelines and strive to write clean, readable, and maintainable code.
  7. Familiarity with Development Tools: You are proficient in using development tools like Integrated Development Environments (IDEs) or code editors, version control systems (e.g., Git), and debugging tools. You understand how to optimize your workflow and efficiently collaborate with other developers.
  8. Ability to Read and Understand Complex Codebases: You can navigate and comprehend large-scale codebases written by others. You are comfortable reading and understanding code with advanced techniques and patterns. You can troubleshoot and debug code effectively.
  9. Participation in the Python Community: You actively engage with the Python community, whether it's through online forums, attending meetups or conferences, or contributing to open-source projects. You are willing to share your knowledge and learn from others.

Remember that expertise is a continuous journey, and there is always more to learn. Being proficient in these areas indicates that you have reached an advanced level, but there is still room for growth and improvement.

By the same token

Knowing Python up to concepts like polymorphism, aspect-oriented programming, and abstract programming is a sign of having intermediate to advanced knowledge of Python. These are more advanced topics that go beyond the basics of the language, and mastering them requires a deeper understanding of Python's object-oriented and programming paradigms.