Regular expressions are one of those topics many engineers avoid at first because they look intimidating. But once you understand the basics, regex becomes a powerful everyday tool for DevOps and backend work.
In today’s session, we focused on practical regex usage in Python, not theory. We covered real-world examples like matching phone numbers, email addresses, URLs, and IP addresses, and how regex helps simplify validation, parsing, and text processing tasks you deal with daily.
Regex is less about memorizing symbols and more about thinking in patterns. With enough practice, it starts to feel natural.
I actively work at the intersection of DevOps and AI. If you’re learning, teaching, or building in this space, feel free to connect with me on LinkedIn.
🔗 Day 4: https://www.ideaweaver.ai/courses/2934372/lectures/64715084
🔗 If you want to follow along, please register here: https://lnkd.in/gqKgt8kA
If you’re planning to transition into Generative AI in 2026, you might find these useful:
➡️ 4-Month Generative AI Program: https://www.ideaweaver.ai/l/pdp/100-days-of-devops
📚 Book – Building a Small Language Model from Scratch:https://plakhera.gumroad.com/l/BuildingASmallLanguageModelfromScratch
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