Introduction
Part 1 - Advanced Python Concepts
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Data transfer objects (10:46)
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DTOs as vanilla Python classes (8:23)
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Intro to annotations (5:44)
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Data classes (2:31)
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Post initialisation in data classes (6:07)
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Pydantic (11:13)
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Pydantic custom validators (6:26)
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Custom exceptions (3:45)
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Serialization (5:42)
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Polymorphism and abstract classes (7:52)
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Abstract serializer (4:43)
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Pickle serialization (9:01)
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Json serialization (8:41)
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Yaml serialization (8:19)
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List comprehensions (10:11)
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Dictionary comprehensions (6:42)
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Iterators (12:45)
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Generators (10:20)
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Lambda functions (3:47)
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Map, filter, and reduce (9:22)
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Zip (3:34)
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With statement (7:10)
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Context managers (17:24)
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Decorators basics (11:04)
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Decorators with arguments (15:46)
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Decorating classes (7:09)
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Threading and multiprocessing: The theory (11:54)
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Threading basics (14:15)
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Daemon and non-daemon threads (9:34)
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Multiprocessing basics (7:10)
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Multiprocessing with the Pool class (5:12)
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Conclusion part 1 (0:25)
Part 2 - Practical project: Data pipeline
Conclusion
