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Python Power Tools - Exploring Advanced Language Features

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5 courses

89 practices

18 hours

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.

4.52

306 learners

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Verified skills you'll gain

ADVANCED

Computer Science Fundamentals

ADVANCED

Data Storage and Management

INTERMEDIATE

Software Development Practices

Tools you'll use

Python

Course 1

The Python Data Model & Protocols

4 lessons

19 practices

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.

Course 2

Python Class Machinery: Dataclasses, Descriptors, Metaclasses

4 lessons

17 practices

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.

Course 3

Functional Patterns and Pattern Matching in Python

4 lessons

17 practices

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.

Course 4

Python Concurrency & Async I/O

4 lessons

15 practices

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.

Course 5

Building an Async CLI Tool for ETL Pipelines in Python

5 lessons

21 practices

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.

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