💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
Python’s standard library is one of its greatest strengths, but many developers only scratch the surface. In this video, I explore 10 powerful and sometimes overlooked modules that can simplify your code, improve performance, and eliminate unnecessary dependencies. From dataclasses and pathlib to functools, graphlib, and heapq, you’ll see practical, real-world examples of how to use these tools effectively.
🔥 GitHub Repository: https://git.arjan.codes/2025/libraries.
🎓 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
0:30 1. Toolz / PyToolz
1:52 2. Tabulate
2:54 3. Rich
4:07 4. Hypothesis
6:10 5. Pydantic-settings
8:32 6. Httpx
10:01 7. FastAPI-pagination
11:51 8. FastStream
13:07 9. NiceGUI
14:35 10. Flet
15:56 11. Reflex
17:12 12. Textual
18:41 13. LangGraph
19:47 14. PydanticAI
21:29 BONUS: Marimo
23:42 Outro
#arjancodes #softwaredesign #python
In questa pagina del sito puoi guardare il video online Beyond Pandas & NumPy: 14 Python Libraries to Try della durata di ore minuti seconda in buona qualità , che l'utente ha caricato ArjanCodes 01 agosto 2025, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 67,615 volte e gli è piaciuto 2.8 mille spettatori. Buona visione!