<ul data-eligibleForWebStory="true"><li>Focus on problem-solving and sharpening basics when prepping for DSA interviews or LeetCode.</li><li>Advanced Python involves mindset upgrade rather than a checklist completion.</li><li>Companies utilize advanced Python concepts such as generators, decorators, magic methods, and metaclasses.</li><li>Decorators add custom behavior without altering core function logic, akin to upgrading a basic pizza.</li><li>Generators yield values one at a time, enhancing memory efficiency and performance.</li><li>Magic methods (dunder methods) like __init__, __str__, etc., are automated hooks in Python for specific events.</li><li>Metaclasses control how classes are created, with popular frameworks like Django leveraging metaclasses for ease.</li><li>Metaclasses provide power but necessitate caution to avoid complexity; simpler alternatives like decorators are advisable.</li><li>Master advanced Python tools after solidifying basics through practice, project building, and error handling.</li><li>Continuous learning is essential in Python programming due to the abundance of concepts waiting to be explored.</li></ul>

If You Can’t Explain These Python Concepts, You’re Not a Real Developer.

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