Overview
Unlock advanced Python skills by building robust, production-ready applications! This path guides you from dunder methods and dataclasses to async pipelines and pattern matching, culminating in a complete, validated ETL tool you can proudly showcase.
Syllabus
- Course 1: The Python Data Model & Protocols
- Course 2: Python Class Machinery: Dataclasses, Descriptors, Metaclasses
- Course 3: Functional Patterns and Pattern Matching in Python
- Course 4: Python Concurrency & Async I/O
- Course 5: Building an Async CLI Tool for ETL Pipelines in Python
Courses
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You'll go beyond basic classes to master Python's data model. By implementing "dunder" methods, you will build custom types that integrate seamlessly with Python's core features, like iteration and context management. This course will make your code more Pythonic, expressive, and efficient.
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You will learn how to build better classes in Python. This course covers dataclasses to reduce boilerplate, descriptors for powerful validation, and even metaclasses to enforce rules at class creation time. You'll write cleaner, more robust, and more reusable object-oriented code.
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You'll learn to write cleaner, more declarative Python code. This course explores functional patterns like decorators and single dispatch, and masters the powerful match/case statement for complex logic. Your code will become more expressive, easier to read, and simpler to maintain.
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You'll unlock the power of concurrent programming in Python. This course demystifies the GIL, threads, and processes, then dives deep into modern asyncio. You will build high-performance, resilient asynchronous pipelines that can handle real-world I/O-bound workloads with ease.
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It's time to put it all together. You will build a complete, production-ready command-line ETL tool from scratch, integrating dataclasses, pattern matching, and asyncio. This project solidifies all the advanced Python skills you've learned throughout the path into a single, impressive portfolio piece.