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Updated: 2026-07-09
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❤️ Architecture Patterns — an informative repository on backend architecture in Python! Here, they excellently demonstrate how to properly separate application logic, work with com…
# Cheat sheet on high-order functions in Python: 🐍 map() - applies a function to every element of an iterable and returns an iterator with the results 🔍 filter() - filters elemen…
Data validation with Pydantic! 🐍✨ In the early stages of development, data validation usually doesn't cause problems. In many Python projects, validation initially looks simple: i…
Flags — countries where our network of observers on Telegram recorded this ad being shown in this channel. It's not the advertiser's targeting country: Telegram serves sponsored ads worldwide, and we simply note where the ad appeared in the feed. The channel's main country (by its language) is highlighted in blue; rare placements (under 5%) are collapsed into “+N”.
Why is enumerate() used in Python? 🤔🐍 It allows you to simultaneously obtain the value of an element and its index when iterating through a list. 📊✨ This is more convenient and …
"Introduction to Algorithms" 📘 - an outstanding university resource for everyone studying algorithms and computer science. 🎓💻 The book covers computational complexity, data stru…
If you're working with data pipelines, these repositories are very useful: 🚀📊 ibis: A Python API that allows you to write queries once and run them on different data backends, su…
📂 Reminder about Python map()! map() — a built-in function that applies the specified function to each element of an iterable object (list, tuple, set, etc.). The picture shows th…
Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @husseinsheikho || @hussein_sheikho