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In this Chapter we will investigate a wide scope of programming methodologies and present various extra, consistently further created, Python etymological structure. Bits of the material in this segment is very trying, yet recall that the most dynamic techniques are now and again required and you can commonly skim the primary go through to get an idea of what should be conceivable and scrutinized even more circumspectly when the need rises. The part’s first area delves all the more profoundly into Python’s procedural highlights. It begins by telling the best way to utilize what we previously canvassed in a novel manner, and after that profits to the topic of generators. The segment at that point presents dynamic programming—stacking modules by name at runtime and executing self-assertive code at runtime. The area comes back to the subject of nearby (settled) capacities, however what’s more covers the utilization of the nonlocal watchword and recursive capacities. Prior we perceived how to utilize Python’s predefined decorators—in this segment we figure out how to make our own decorators. The area finishes up with inclusion of annotations. The second part covers all new material relating to object-oriented programming. It starts by the introduction of __slots__, a mechanism to minimize the memory used by any object. Then, it shows how to access object attributes without using its properties. The section also describes functors, and context managers—these are used in conjunction with the with keyword, and in many cases (e.g., file handling) they can be used to replace try … except … finally constructs with simpler try … except constructs. The section also shows how to create custom context managers, and introduces additional advanced features, including class decorators, abstract base classes, multiple inheritance, and metaclasses.