Why You Should Think Twice Before Using Returns in Python

ArjanCodes · Beginner ·🛡️ AI Safety & Ethics ·1y ago

Key Takeaways

Using the returns package in Python for cleaner code

Original Description

💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide. Struggling with Python's unpredictable errors and None checks? In this video, I share a unique approach to making your code cleaner and more reliable using the returns package—no complicated try-except nests required. 🔥 GitHub Repository: https://git.arjan.codes/2024/returns. 🎓 ArjanCodes Courses: https://www.arjancodes.com/courses. 💬 Join my Discord server: https://discord.arjan.codes. ⌨️ Keyboard I’m using: https://amzn.to/49YM97v. 🔖 Chapters: 0:00 Intro 0:32 Why do we need a package like this? 3:02 Introduction to the Returns Package 3:18 What Are Containers? 3:55 The Maybe Container: Handling Missing Data Elegantly 6:40 Using Structural Pattern Matching with Maybe 8:01 Railway-Oriented Programming in Python 11:01 Mapping Exceptions to Railway-Oriented Programming 12:36 Using the @safe Decorator for Automatic Error Handling 14:12 The IO Container: Managing Side Effects 17:53 Should You Use the returns Package? 20:57 Final thoughts #arjancodes #softwaredesign #python
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Chapters (12)

Intro
0:32 Why do we need a package like this?
3:02 Introduction to the Returns Package
3:18 What Are Containers?
3:55 The Maybe Container: Handling Missing Data Elegantly
6:40 Using Structural Pattern Matching with Maybe
8:01 Railway-Oriented Programming in Python
11:01 Mapping Exceptions to Railway-Oriented Programming
12:36 Using the @safe Decorator for Automatic Error Handling
14:12 The IO Container: Managing Side Effects
17:53 Should You Use the returns Package?
20:57 Final thoughts
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