The Lazy Loading Pattern: How to Make Python Programs Feel Instant
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this video, I dive deep into the *Lazy Loading pattern,* one of the simplest and most effective ways to make Python applications feel instantly responsive. I start with a painfully slow CSV-loading example and progressively improve it using **lazy evaluation**, **generators**, **caching**, **time-limited caching**, and even **background preloading**. Along the way, you’ll learn when (and when not) to use lazy loading, how it’s used in real-world libraries, and how to apply it cleanly in your own projects. By the end, you’ll understand how to avoid unnecessary work, reduce memory usage, and make your Python code dramatically faster without overcomplicating your design.
Design pattern playlist: • Design Patterns
🔥 GitHub Repository: https://git.arjan.codes/2025/lazy.
🎓 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
0:48 A Bit of History (and Where You Already See It)
1:53 The Naive (Eager) Approach
2:29 Lazy Loading
3:38 Simple Caching with functools.cache
5:15 Adding a Remote Operation
9:24 Now With Custom Caching
11:13 Lazy Streaming with Generators
15:20 Smarter Preloading
17:21 When (and When Not) to Use Lazy Loading
18:08 Common Mistakes with Lazy Loading
18:52 Final Thoughts
#arjancodes #softwaredesign #python
En esta página del sitio puede ver el video en línea The Lazy Loading Pattern: How to Make Python Programs Feel Instant de Duración hora minuto segunda en buena calidad , que subió el usuario ArjanCodes 05 diciembre 2025, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 44,934 veces y le gustó 1.5 mil a los espectadores. Disfruta viendo!
