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Top Python Tutorials for Advanced Developers

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Code modification techniques: Metaprogramming allows you to write code that can modify other code.

Decorators: Functions that build on existing functionality of code without altering the existing code.

Context Managers: Help manage things like files and database connections in a way that makes sure those resources are properly handled and closed.

Advanced Object-Oriented Concepts: Learn to change the class behavior dynamically, using powerful tools to build more complex systems.

Concurrency and Parallelism Managing Multiple Tasks: Learn differences between running tasks in different threads (lightweight for I/O operations) versus in separate processes, which are a bit heavier for CPU tasks. Threading: Good for tasks that might involve some wait for input/output.

Multiprocessing: Multiprocessing  is more suitable where heavy computation is required

Synchronization: Techniques to make sure that several tasks do not interfere with each other; otherwise, it can result in the causes of several errors and inconsistencies in data.

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