Advanced Python Topics: Where to Find Online Courses for Further Learning

Learning Python is easy as compared to other high-level, object-oriented programming languages such as Java or C++ but it has a few advanced concepts that come in handy when developing code that is robust, crisp, highly optimized, efficient, and normalized. Using these concepts in your code, you will be able to reduce bugs in your code as well as increase its efficiency thereby making you a seasoned Python programmer. So let us look at these concepts one by one and understand them in detail!
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Map Function:Python has an inbuilt function called map() which permits us to process all the elements present in an iterable without explicitly using a looping construct. When used, it returns a map object which in turn is an iterator. This map object is the result obtained by applying the specified function to every item present in the iterable.

Decorators Decorators are a powerful tool for modifying or enhancing the behavior of functions or methods. Understanding how to create and use decorators is a key advanced Python concept.

Meta Classes Metaclasses allow you to control the behavior and structure of classes themselves. They are used for advanced class customization and introspection.

Generators and Iterators Advanced usage of generators and iterators can improve the efficiency of your code, especially when working with large data sets.

Concurrency and Asynchronous Programming Understanding asynchronous programming using async and await is crucial for building high-performance, non-blocking applications.

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