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Object Oriented Programming\ 0:00 Remember everything is an object and connects to the type class 6:15 Use Inheritance correctly on Python 18:08 Remember a class can also be created using a string, a tuple and a dictionary power of Metaclasses and Metaclass inheritance\ 32:32 More analysis 32:47 Understand the power of a Metaclass and how it differs from a Superclass 50:16 A deep dive into Metaclasses changing the structure of classes 1:24:52 Metaclass instantiation, Metaclass inheritance, Meta-instance inheritance 1:56:28 Inspect and verify class relations 2:23:31 Using a metaclass to make a regular class an iterable object - hashable objects functions\ 2:54:04 Detect subtypes and learn the NewType 3:02:08 Clarify the difference between IS and == 3:07:32 The use of OR when instantiating a class 3:12:02 How to de-nest a nested list. First-level denesting 3:17:25 The next iterator for lists - two implementations 3:28:13 Why you should use a defaultdict over a regular dictionary 3:36:55 Comfortably make time-conversions via the function timedelta about running Python models\ 3:40:25 More analysis 3:40:40 The most important command if __name __ = main() (part1) 3:57:29 The most important command if __name__==main() (part2) 4:18:13 Why Jupyter Notebook isn’t really good for large models instantiation and iterables\ 4:28:24 key differences between iterators and iterables 4:52:29 When to actually use [id29436710|@classmethod] and @staticmethod 5:22:09 How Class and instance variables behave with [id29436710|@classmethod], @staticmethod 5:48:47 How classinstance variables and static methods behave in derived classes 6:02:20 The most frequent use of the [id5144984|@property] decorator 6:28:01 In-depth analysis of getter, setter, deleter functions via [id5144984|@property] Loggers and Annotation\ 6:59:42 More analysis 6:59:57 Logging module Detailed analysis of how to create a logger 7:15:26 The Logger in action. Passing it over to filesclassesfunctions 7:35:00 Adding graphics inside logging messages, running special cases, & theory 8:01:47 How Python hints & annotations are used 8:14:49 Python annotations and custom types, step-by-step 8:37:28 Function annotations. Optional parameters. Union, Optional, Any, Sequence 9:02:54 Using Callable and Generic Types. Calling staticmethods using custom types 9:18:55 Always conduct Static Code Analysis. Which Python Checker to use efficient implementation on Python\ 9:32:45 Operator Overloading All you need to know 9:53:42 Method Overloading How NOT to implement it 10:02:08 Method Overloading First way by which it is Implemented 10:10:39 Method Overloading Second way by which it is Implemented 10:32:13 Method Overloading Third way by which it is Implemented 10:36:31 Constructor Overloading Yes, it is possible on Python 10:42:39 Method OVERRIDING All we need to know 10:58:17 Duck Typing Polymorphism When and How to implement it! \ 11:17:10 Dataclasses All you need to know Single Responsibility Principle for Efficient Software Design\ 11:40:51 The Single Responsibility Principle ( Part I)
